Cost-allocation Models in Electricity Systems
|
|
- Theodore Townsend
- 5 years ago
- Views:
Transcription
1 8 Cost-allocation Models in Electricity Systems Presented by Athena Wu Supervisor: Andy Philpott Co-supervisor: Golbon Zakeri
2 Cost Recovery Problem Extract payments for shared resource Public utility cost Example: airlines building runway -Sep-8
3 Cost-allocation Objectives Complete cost recovery Incentives for efficiency Symmetry (non-discriminate) Easy to calculate / implement -Sep-8
4 Cost Recovery for Transmission Investment Open-access with competition Share to compete Cost recovery schemes can alter their behaviours Recovery through congestion revenues Discrete investments Economy of scale Security constraints (creates redundancy) Networks appear under-used Only recover ~% -Sep-8
5 Cost Recovery for Transmission Investment (New Zealand) New Zealand North: population South: resource Transmission Charge Large proportion Important in decision making (e.g. wind generation, HVDC) -Sep-8
6 A few definitions Sets of agents N all agents, S subset of N Cost functions c(n), c(s), opportunity cost Value functions v(n), v(s), any valuation function Payments P i is the payment for i th agent -Sep-8
7 Economics Concept the Core The Core An allocation x is in the core of v(n), iff x is feasible, and no coalition improve on x. Runway problem N={A, B, C} S, subset of N c(s) C B A -Sep-8
8 The Core runway example S empty set {A} {B} {C} {A, B} {B, C} {A, C} {A, B, C} c(s) Conditions to satisfy: P A <= c({a}) =, P B <= c({b}) =, P C <= c({c}) =, P + P B C <= c({b,c}) =, P + P A C <= c({a,c}) =, P + P A B <= c({a,b}) =, P + P A B + P C = c({a,b,c}) =, -Sep-8
9 The Core runway example S empty set {A} {B} {C} {A, B} {B, C} {A, C} {A, B, C} c(s) Conditions to satisfy: P A <= c({a}) =, P B <= c({b}) =, P C <= c({c}) =, P + P B C <= c({b,c}) =, P + P A C <= c({a,c}) =, P + P A B <= c({a,b}) =, P + P A B + P C = c({a,b,c}) =, -Sep-8
10 The Core runway example S empty set {A} {B} {C} {A, B} {B, C} {A, C} {A, B, C} c(s) Conditions to satisfy: P A <= c({a}) =, P B <= c({b}) =, P C <= c({c}) =, P + P B C <= c({b,c}) =, P + P A C <= c({a,c}) =, P + P A B <= c({a,b}) =, P + P A B + P C = c({a,b,c}) =, -Sep-8
11 The Core runway example B= A= C= P A <= c({a}) =, P B <= c({b}) =, P C <= c({c}) =, P + P B C <= c({b,c}) =, P + P A C <= c({a,c}) =, P + P A B <= c({a,b}) =, P + P A B + P C = c({a,b,c}) =, -Sep-8
12 The Core runway example A= P A <= c({a}) =, P B <= c({b}) =, P C <= c({c}) =, P + P B C <= c({b,c}) =, P + P A C <= c({a,c}) =, B= B= C= P + P A B <= c({a,b}) =, P + P A B + P C = c({a,b,c}) =, -Sep-8
13 The Core runway example A= P A <= c({a}) =, C= P B <= c({b}) =, P C <= c({c}) =, P + P B C <= c({b,c}) =, P + P A C <= c({a,c}) =, B= B= C= P + P A B <= c({a,b}) =, P + P A B + P C = c({a,b,c}) =, -Sep-8
14 The Core runway example A= P A <= c({a}) =, C= P B <= c({b}) =, P C <= c({c}) =, B+C= P + P B C <= c({b,c}) =, P + P A C <= c({a,c}) =, B= B= C= P + P A B <= c({a,b}) =, P + P A B + P C = c({a,b,c}) =, -Sep-8
15 The Core runway example A= P A <= c({a}) =, C= P B <= c({b}) =, P C <= c({c}) =, B+C= P + P B C <= c({b,c}) =, P + P A C <= c({a,c}) =, B= B= C= P + P A B <= c({a,b}) =, P + P A B + P C = c({a,b,c}) =, -Sep-8
16 The Core runway example A= P A <= c({a}) =, C= P B <= c({b}) =, P C <= c({c}) =, B+C= P + P B C <= c({b,c}) =, P + P A C <= c({a,c}) =, B= B= C= P + P A B <= c({a,b}) =, P + P A B + P C = c({a,b,c}) =, -Sep-8
17 The Core runway example A= P A <= c({a}) =, The Core C= P B <= c({b}) =, P C <= c({c}) =, B+C= P + P B C <= c({b,c}) =, P + P A C <= c({a,c}) =, B= B= C= P + P A B <= c({a,b}) =, P + P A B + P C = c({a,b,c}) =, -Sep-8
18 The Core runway example The Core is defined by a set of linear constraints But how to find a solution that: satisfies objectives is unique The Core A= C= B+C= B= C= -Sep-8 B=
19 The Shapley Value Lloyd Shapley (9) Fair allocation of gains / costs By cooperation among several agents The Intuitive Idea Average incremental cost for each player Computed over all possible orders in total set - N -Sep-8
20 The Shapley Value Properties Efficiency complete cost allocation Symmetry treat identical players the same Dummy no use no pay Additivity additive function -> additive rules Cost non-decreasing returns to scale The Core of the function is nonempty and contains the Shapley Value (Shapley, 97) -Sep-8
21 The Shapley Value the runway problem Permutations C C C PA PB PC (A, B, C) A -Sep-8
22 The Shapley Value the runway problem Permutations C C C PA PB PC (A, B, C) B A -Sep-8
23 The Shapley Value the runway problem Permutations C C C PA PB PC (A, B, C) C B A -Sep-8
24 The Shapley Value the runway problem Permutations C C C PA PB PC (A, B, C) C B A -Sep-8
25 The Shapley Value the runway problem Permutations C C C PA PB PC (A, B, C) (A, C, B) -Sep-8
26 The Shapley Value the runway problem Permutations C C C PA PB PC (A, B, C) (A, C, B) (B, A, C) B -Sep-8
27 The Shapley Value the runway problem Permutations C C C PA PB PC (A, B, C) (A, C, B) (B, A, C) B A -Sep-8
28 The Shapley Value the runway problem Permutations C C C PA PB PC (A, B, C) (A, C, B) (B, A, C) C B A -Sep-8
29 The Shapley Value the runway problem Permutations C C C PA PB PC (A, B, C) (A, C, B) (B, A, C) C B A -Sep-8
30 The Shapley Value the runway problem Permutations C C C PA PB PC (A, B, C) (A, C, B) (B, A, C) (B, C, A) -Sep-8
31 The Shapley Value the runway problem Permutations C C C PA PB PC (A, B, C) (A, C, B) (B, A, C) (B, C, A) (C, A, B) -Sep-8
32 The Shapley Value the runway problem Permutations C C C PA PB PC (A, B, C) (A, C, B) (B, A, C) (B, C, A) (C, A, B) (C, B, A) Average: 9/6 7/6 / -Sep-8
33 The Shapley Value runway example The Shapley Value solution is in the Core, and satisfies all the properties as promised. A= C= / A= 9/6 B+C= B= C= A = B = C = Total Cost Allocation /6 /6 / B= 7/6 -Sep-8
34 The Shapley Value General formulation Properties Efficiency Symmetry Dummy Additivity -Sep-8
35 The Shapley Value in electricity market (Chile []) Assumptions Inelastic demand Power flow on link as measure of cost Minimise generation cost subject to Generation = Demand for all subset S of grand coalition N [] J. M. Zolezzi and H. Rudnick, Transmission cost allocation by cooperative games and coalition formation, IEEE Trans. Power Syst., vol. 7, no.4, pp. 8-, Nov.. -Sep-8
36 The Shapley Value in electricity market (NZ) The two-node NZ model Generations North: G =, South: G =, G = Demands North: D =4, South: D = G D G D G -Sep-8
37 The Shapley Value in electricity market (NZ) Permutations T T T P P P (,, ) G = D =4 D = -Sep-8
38 The Shapley Value in electricity market (NZ) Permutations T T T P P P (,, ) G = D =4 G = D = -Sep-8
39 The Shapley Value in electricity market (NZ) Permutations T T T P P P (,, ) G = D =4 G = G = D = -Sep-8
40 The Shapley Value in electricity market (NZ) Permutations T T T P P P (,, ) G = D =4 G = G = D = -Sep-8
41 The Shapley Value in electricity market (NZ) Permutations T T T P P P (,, ) (,, ) -Sep-8
42 The Shapley Value in electricity market (NZ) Permutations T T T P P P (,, ) (,, ) (,, ) -Sep-8
43 The Shapley Value in electricity market (NZ) Permutations T T T P P P (,, ) (,, ) (,, ) (,, ) -Sep-8
44 The Shapley Value in electricity market (NZ) Permutations T T T P P P (,, ) (,, ) (,, ) (,, ) (,, ) -Sep-8
45 The Shapley Value in electricity market (NZ) Permutations T T T P P P (,, ) (,, ) (,, ) (,, ) (,, ) (,, ) Average: -Sep-8
46 The Shapley Value in electricity market (NZ) P = G = Cost = D =4 G = P = G = P = D = -Sep-8
47 From Shapley Value to Aumann- Shapley prices Aumann-Shapley prices Marginal cost averaged over all vectors [] Consider the progression of cost function rather than just two states [] H. P. Young, Cost allocation, in Handbook of Game Theory, R. J. Aumann and S. Hart, Eds. New York: Elsevier, 994, vol., ch. 4. -Sep-8
48 Aumann-Shapley continued the Brazilian idea Model from PSR, Brazil [] Divide agents into very small agents Entrance order does not matter Number of calculation step = number of small agents Calculate using same model as in Shapley Value Price to pay is the sum of all small agents [] M. Junqueira, L. C. Costa, Jr., L. A. Barroso, G. C. Oliveira, L. M. Thomé and M. V. Pereira An Aumann Shapley approach to allocate transmission service cost among network users in electricity markets, IEEE Trans. Power Syst., vol., pp. -46, Nov. 7. -Sep-8
49 Aumann-Shapley continued New Zealand example Again, the two-node NZ model Divide each agents into small agents and enters the market sequentially G = D =4 G = D = G = -Sep-8
50 Aumann-Shapley continued New Zealand example Step G G G P P P Demand Supplied D D 4 -Sep-8
51 Aumann-Shapley continued New Zealand example Step G G G P P P Demand Supplied D D 4 8 -Sep-8
52 -Sep-8 Aumann-Shapley continued New Zealand example D D Demand Supplied P P P G G G Step
53 -Sep-8 Aumann-Shapley continued New Zealand example D D Demand Supplied P P P G G G Step
54 -Sep-8 Aumann-Shapley continued New Zealand example D D Demand Supplied P P P G G G Step
55 -Sep-8 Aumann-Shapley continued New Zealand example D D Demand Supplied P P P G G G Step
56 -Sep-8 Aumann-Shapley continued New Zealand example 7 Total: D D Demand Supplied P P P G G G Step
57 Aumann-Shapley continued New Zealand example (P = ) P' = G = Cost = D =4.7/unit G = P' = 7 (P = ) G = P' = (P = ) D = -Sep-8
58 Where in the Core? Only if define by cost function Chile & Brazil markets are central planned New Zealand Competitive Oligopoly G = P' = 7 G = D = G = D =4 Some passon cost -Sep-8
59 In the Core? Depend on demand / supply functions D & G can form coalition Not in the core Perverse incentives G = D = G = D =4 G = -Sep-8
60 The Benefit Game Cost Games vs Benefit Games [4] Taking gain as well as cost into consideration Defining the characteristic function B i is the max value consumer i is willing to pay r i is the cost component [4] W.W.Sharkey, "Suggestions for a game theoretic approach for public utility pricing and cost allocation," The Bell Journal of Economics, pp. 7 68, 98 -Sep-8
61 The Benefit Game The net surplus for each agent The allocation (outcome) is in the core if [4] W.W.Sharkey, "Suggestions for a game theoretic approach for public utility pricing and cost allocation," The Bell Journal of Economics, pp. 7 68, 98 -Sep-8
62 Benefit Games and beyond Cannot re-allocate welfare gains in competitive market Allocate cost in proportion to benefit game outcomes doesn t necessarily lie in the Core gives a good echo of pricing signal -Sep-8
63 Benefit Games and beyond All these charging schemes assumed no change to agents behaviour, however HVDC link charge Charge on historical maximum injection In fact a capacity constraint in the long term Cournot Equilibrium Models Non-cooperative game theory Explored together with the cost-allocation scheme (cooperative) -Sep-8
64 Thank You! -Sep-8
65 What s Happening Elsewhere? From European Transmission System Operators (ETSO) Report Benchmarking on transmission pricing in Europe: Synthesis -Sep-8
66 What s Happening Elsewhere? From European Transmission System Operators (ETSO) Report Benchmarking on transmission pricing in Europe: Synthesis -Sep-8
Cooperative Games. Lecture 1: Introduction. Stéphane Airiau. ILLC - University of Amsterdam
Cooperative Games Lecture 1: Introduction Stéphane Airiau ILLC - University of Amsterdam Stéphane Airiau (ILLC) - Cooperative Games Lecture 1: Introduction 1 Why study coalitional games? Cooperative games
More informationBargaining and Coalition Formation
1 These slides are based largely on Chapter 18, Appendix A of Microeconomic Theory by Mas-Colell, Whinston, and Green. Bargaining and Coalition Formation Dr James Tremewan (james.tremewan@univie.ac.at)
More informationStrategic Network Formation
Strategic Network Formation Sanjeev Goyal Christ s College University of Cambridge Indian Institute of Science Bangalore Outline 1. Structure of networks 2. Strategic foundations of networks 3. Theory
More information(67686) Mathematical Foundations of AI July 30, Lecture 11
(67686) Mathematical Foundations of AI July 30, 2008 Lecturer: Ariel D. Procaccia Lecture 11 Scribe: Michael Zuckerman and Na ama Zohary 1 Cooperative Games N = {1,...,n} is the set of players (agents).
More informationBill and Keep as the Efficient Interconnection Regime?: A Reply. Abstract
Bill and Keep as the Efficient Interconnection Regime?: A Reply PATRICK DEGRABA * Charles River Associates Abstract In a critique of my paper outlining the Central Office Bill and Keep (COBAK) proposal,
More informationIntroduction to Game Theory
Lecture Introduction to Game Theory March 30, 005 Lecturer: Anna R. Karlin Notes: Atri Rudra In this course we will look at problems and issues which fall in the intersection of Computer Science and Economics.
More informationA Game-Theoretic Framework for Congestion Control in General Topology Networks
A Game-Theoretic Framework for Congestion Control in General Topology SYS793 Presentation! By:! Computer Science Department! University of Virginia 1 Outline 2 1 Problem and Motivation! Congestion Control
More informationInteractive Geometry for Surplus Sharing in Cooperative Games
Utah State University DigitalCommons@USU Applied Economics Faculty Publications Applied Economics 2006 Interactive Geometry for Surplus Sharing in Cooperative Games Arthur J. Caplan Utah State University
More informationOver-contribution in discretionary databases
Over-contribution in discretionary databases Mike Klaas klaas@cs.ubc.ca Faculty of Computer Science University of British Columbia Outline Over-contribution in discretionary databases p.1/1 Outline Social
More informationCore Membership Computation for Succinct Representations of Coalitional Games
Core Membership Computation for Succinct Representations of Coalitional Games Xi Alice Gao May 11, 2009 Abstract In this paper, I compare and contrast two formal results on the computational complexity
More informationOptimal Channel Selection for Cooperative Spectrum Sensing Using Coordination Game
2012 7th International ICST Conference on Communications and Networking in China (CHINACOM) Optimal Channel Selection for Cooperative Spectrum Sensing Using Coordination Game Yuhua Xu, Zhan Gao and Wei
More information1.1 What is Microeconomics?
1.1 What is Microeconomics? Economics is the study of allocating limited resources to satisfy unlimited wants. Such a tension implies tradeoffs among competing goals. The analysis can be carried out at
More informationAn Agent-based Model for the Evolution of the Internet Ecosystem
An Agent-based Model for the Evolution of the Internet Ecosystem Amogh Dhamdhere Constantine Dovrolis Georgia Tech The Internet Ecosystem 27,000 autonomous networks independently operated and managed The
More informationNet Neutrality and Inflation of Traffic
Introduction Net Neutrality and Inflation of Traffic Martin Peitz (MaCCI, University of Mannheim and CERRE) Florian Schuett (TILEC, CentER, Tilburg University) Symposium in Honor of Jean Tirole The Hague,
More informationCHAPTER 13: FORMING COALITIONS. Multiagent Systems. mjw/pubs/imas/
CHAPTER 13: FORMING COALITIONS Multiagent Systems http://www.csc.liv.ac.uk/ mjw/pubs/imas/ Coalitional Games Coalitional games model scenarios where agents can benefit by cooperating. Issues in coalitional
More informationPower Flow Method for Loss Allocation in Radial Distribution Networks with DGs
Power Flow Method for Loss Allocation in Radial Distribution Networks with DGs G.Naguraiah 1, K. Jithendra Goud 2 1M.Tech student, Electrical Department, JNTUA College of Engineering, Anantapur, India.
More informationPackage cooptrees. February 19, 2015
Type Package Version 1.0 Date 2014-09-01 Package cooptrees February 19, 2015 Title Cooperative aspects of optimal trees in weighted graphs Author Manuel Fontenla Maintainer Manuel Fontenla
More informationRegulating and pricing network access
Regulating and pricing network access László Szabó ERRA Training 5-8 March, 2013, Budapest Lecture outline Network: an essential infrastructure Getting connected Pricing the use of existing electricity
More informationThe Shapley value mechanism for ISP settlement
The Shapley value mechanism for ISP settlement Richard T.B. Ma Dept. of Electrical Engineering Columbia University tbma@ee.columbia.edu Vishal Misra Dept. of Computer Science Columbia University misra@cs.columbia.edu
More informationModelling competition in demand-based optimization models
Modelling competition in demand-based optimization models Stefano Bortolomiol Virginie Lurkin Michel Bierlaire Transport and Mobility Laboratory (TRANSP-OR) École Polytechnique Fédérale de Lausanne Workshop
More informationGroup Strategyproof Mechanisms via Primal-Dual Algorithms. Key Points to Discuss
Group Strategyproof Mechanisms via Primal-Dual Algorithms Martin Pál and Éva Tardos (2003) Key Points to Discuss The Cost-Sharing Problem Metric Facility Location Single Source Rent-or-Buy Definition of
More informationEnd-to-end QoS negotiation in network federations
End-to-end QoS negotiation in network federations H. Pouyllau, R. Douville Avril, 2010 Outline Motivation for Network federations The problem of end-to-end SLA composition Scenario of composition and negotiation
More informationA TRANSITION FROM TWO-PERSON ZERO-SUM GAMES TO COOPERATIVE GAMES WITH FUZZY PAYOFFS
Iranian Journal of Fuzzy Systems Vol. 5, No. 7, 208 pp. 2-3 2 A TRANSITION FROM TWO-PERSON ZERO-SUM GAMES TO COOPERATIVE GAMES WITH FUZZY PAYOFFS A. C. CEVIKEL AND M. AHLATCIOGLU Abstract. In this paper,
More informationSession 3.4. Network Planning Strategy for evolving Network Architectures Session Network optimization. Cost components of telecom network
ITU Seminar Bangkok, Thailand, 11-1515 November 2002 Session 3.4 and costing Network Planning Strategy for evolving Network Architectures Session 3.4-1 Cost components of telecom network Costs Optimum
More informationA BGP-Based Mechanism for Lowest-Cost Routing
A BGP-Based Mechanism for Lowest-Cost Routing Joan Feigenbaum, Christos Papadimitriou, Rahul Sami, Scott Shenker Presented by: Tony Z.C Huang Theoretical Motivation Internet is comprised of separate administrative
More informationInternet Routing Games
CS498: UnderGraduate Project Internet Routing Games Submitted by: Pranay Borkar Roll no.:-14189 Mentored by: Prof. Sunil Simon Dept. of Computer Science and Engineering Indian Institute of Technology,Kanpur
More informationPrices and Auctions in Markets with Complex Constraints
Conference on Frontiers of Economics and Computer Science Becker-Friedman Institute Prices and Auctions in Markets with Complex Constraints Paul Milgrom Stanford University & Auctionomics August 2016 1
More informationIntroduction to algorithmic mechanism design
Introduction to algorithmic mechanism design Elias Koutsoupias Department of Computer Science University of Oxford EWSCS 2014 March 5-7, 2014 Part I Game Theory and Computer Science Why Game Theory and
More informationBasic Graph Theory with Applications to Economics
Basic Graph Theory with Applications to Economics Debasis Mishra February 6, What is a Graph? Let N = {,..., n} be a finite set. Let E be a collection of ordered or unordered pairs of distinct elements
More informationInternet Economics: The Use of Shapley Value for ISP Settlement
IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 18, NO. 3, JUNE 2010 775 Internet Economics: The Use of Shapley Value for ISP Settlement Richard T. B. Ma, Dah Ming Chiu, Fellow, IEEE, John C. S. Lui, Fellow,
More informationREVENUE MANAGEMENT. An Introduction to Linear Optimization x The Analytics Edge
REVENUE MANAGEMENT An Introduction to Linear Optimization 15.071x The Analytics Edge Airline Regulation (1938-1978) The Civil Aeronautics Board (CAB) set fares, routes, and schedules for all interstate
More informationMechanism Design for Multicast Cost Sharing in Wireless Networks
Mechanism Design for Multicast Cost Sharing in Wireless Networks April 24, 2008 1 Introduction A large amount of Internet applications, involve multiple clients getting service from a single server. Unicast
More informationDepartments of Economics and Agricultural and Applied Economics Ph.D. Written Qualifying Examination August 2010 will not required
Departments of Economics and Agricultural and Applied Economics Ph.D. Written Qualifying Examination August 2010 Purpose All Ph.D. students are required to take the written Qualifying Examination. The
More informationThe Index Coding Problem: A Game-Theoretical Perspective
The Index Coding Problem: A Game-Theoretical Perspective Yu-Pin Hsu, I-Hong Hou, and Alex Sprintson Department of Electrical and Computer Engineering Texas A&M University {yupinhsu, ihou, spalex}@tamu.edu
More informationWALKER WIRELESS LIMITED
WALKER WIRELESS LIMITED SUBMISSION ON THE COMMERCE COMMISSION PAPER APPLICATION OF A TSLRIC PRICING METHODOLOGY 16 AUGUST 2002 - 2 EXECUTIVE SUMMARY 1. In the Discussion Paper the Commission addresses
More informationA Survey of Recent Results on Real-Time Wireless Networking
A Survey of Recent Results on Real-Time Wireless Networking I-Hong Hou CSL and Department of Computer Science University of Illinois Urbana, IL 61801, USA ihou2@illinois.edu P. R. Kumar CSL and Department
More informationDynamics, stability, and foresight in the Shapley-Scarf housing market. Discussion Paper No
Dynamics, stability, and foresight in the Shapley-Scarf housing market Yoshio Kamijo Ryo Kawasaki Discussion Paper No. 2008-12 October 2008 Dynamics, stability, and foresight in the Shapley-Scarf housing
More informationOn the Computational Complexity of Nash Equilibria for (0, 1) Bimatrix Games
On the Computational Complexity of Nash Equilibria for (0, 1) Bimatrix Games Bruno Codenotti Daniel Štefankovič Abstract The computational complexity of finding a Nash equilibrium in a nonzero sum bimatrix
More informationWhy VCG auctions can hardly be applied to the pricing of inter-domain and ad hoc networks
Why VCG auctions can hardly be applied to the pricing of inter-domain and ad hoc networks Patrick Maillé GET/ENST Bretagne 2, rue de la Châtaigneraie - CS 17607 35576 Cesson Sévigné Cedex - FRANCE Email:
More informationProducer responsibility s role in closing the material loop for EEE
Producer responsibility s role in closing the material loop for EEE Raphael Veit SagisEPR.com Motivations for introducing or revising e-waste legislation Pioneers: Germany 1991: Packaging Ordinace 1990
More informationChallenging Applications of Stochastic Programming
Challenging Applications of Stochastic Programming Anton J. School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta, Georgia, USA Stochastic Programming SPXII Conference Halifax
More informationTextbook of Computable General Equilibrium Modelling
Textbook of Computable General Equilibrium Modelling Programming and Simulations Nobuhiro Hosoe Kenji Gasawa and Hideo Hashimoto Contents Abbreviations Symbols in CGE Models Tables, Figures and Lists Preface
More informationdigital.vector Global Animation Industry Strategies, Trends & Opportunities digital.vector
Global Animation Industry Strategies, Trends & Opportunities digital.vector Global Animation Industry: Strategies, Trends and Opportunities 1 Contents Global Animation Industry History and Evolution Industry
More informationMODULAR HUB AND SPOKE 17 NOVEMBER 2017
MODULAR HUB AND SPOKE 17 NOVEMBER 2017 Executive Summary Future North Sea offshore wind farms will increasingly be located further from shore. The longer distances to shore and generally deeper waters
More information16 th Polish Teletraffic Symposium 2009 Łódź, Poland, September 24-25, 2009
MARIUSZ MYCEK Institute of Telecommunications, Warsaw University of Technology, Poland MICHAŁ PIÓRO Institute of Telecommunications, Warsaw University of Technology, Poland Department of Electrical and
More informationCongestion Control in the Network
Congestion Control in the Network Brighten Godfrey CS 538 February 5 2018 slides 2010-2018 by Brighten Godfrey unless otherwise noted How TCP congestion control is broken A partial list... Efficiency Tends
More informationMobile Telephony and Broadband services
Mobile Telephony and Broadband services A way to reduce the gap of digital divide in Mediterranean Marios Yiatzidis Regulatory Manager 02 05 2006 Table of Contents The growth of mobile communications Mobile
More informationAggrandize the Reliability by Bug Retrieval (ARBR)
Vol. 3, Issue. 6, Nov - Dec. 2013 pp-3380-3384 ISSN: 2249-6645 Ms. J. Arthy Assistant Professor, Dept. Of CSE, Rajiv Gandhi college of Engineering and Technology, Puducherry, India Abstract: A complex
More informationPatrick DeGraba Federal Trade Commission* Why Bill and Keep? Hotel Konigswinter, Germany 3 April 2006
Patrick DeGraba Federal Trade Commission* Why Bill and Keep? Hotel Konigswinter, Germany 3 April 2006 *Any opinions expressed herein do not necessarily reflect those of the FTC or any Commissioner. Why
More informationDifferent Optimal Solutions in Shared Path Graphs
Different Optimal Solutions in Shared Path Graphs Kira Goldner Oberlin College Oberlin, OH 44074 (610) 324-3931 ksgoldner@gmail.com ABSTRACT We examine an expansion upon the basic shortest path in graphs
More informationEconS 301 Homework #8 Answer key
EconS 0 Homework #8 Answer key Exercise # Monopoly Consider a monopolist facing inverse demand function pp(qq) 5 qq, where qq denotes units of output. Assume that the total cost of this firm is TTTT(qq)
More informationModelling approach and tool
Modelling approach and tool Olivier LEBOIS Business Area Manager, System Development SJWS 1 Brussels 22 January 201 Meaningful assessment cannot be limited to capacity > Since TYNDP 2011-2020, ENTSOG uses
More informationCOOPERATION-AWARE TOPOLOGY CONTROL
COOPERATION-AWARE TOPOLOGY CONTROL Vivek Srivastava Arlington, VA. USA. Ramakant Komali Blacksburg, VA. USA. Allen B. MacKenzie Blacksburg, VA. USA. Luiz A. DaSilva Arlington, VA. USA. ABSTRACT In ad hoc
More informationA Dynamic Model of Network Formation
Games and Economic Behavior 34, 331 341 Ž 001. doi:10.1006 game.000.0803, available online at http: www.idealibrary.com on A Dynamic Model of Network Formation Alison Watts* Department of Economics, Box
More informationOptimal Routing Control: Repeated Game Approach
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 47, NO. 3, MARCH 2002 437 Optimal Routing Control: Repeated Game Approach Richard J. La and Venkat Anantharam, Fellow, IEEE Abstract Communication networks
More informationAssessing Opportunities to Exploit Stranded Power
Assessing Opportunities to Exploit Stranded Power Andrew A. Chien *University of Chicago and Argonne National Laboratory w/ Fan Yang, Rich Wolski (UCSB), Victor Zavala, Kibaek Kim (Argonne) UCSB Institute
More informationOPTIMIZATION, OPTIMAL DESIGN AND DE NOVO PROGRAMMING: DISCUSSION NOTES
OPTIMIZATION, OPTIMAL DESIGN AND DE NOVO PROGRAMMING: DISCUSSION NOTES MILAN ZELENY Introduction Fordham University, New York, USA mzeleny@fordham.edu Many older texts, with titles like Globally Optimal
More informationMechanism Design in Large Congestion Games
Mechanism Design in Large Congestion Games Ryan Rogers, Aaron Roth, Jonathan Ullman, and Steven Wu July 22, 2015 Routing Game l e (y) Routing Game Routing Game A routing game G is defined by Routing Game
More informationLeased Line Charge Control
October 2012 Frontier Economics 1 RE-ALLOCATION OF COMMON COSTS Ofcom s proposals for the next are set out in the consultation issued in July 2012. The cost modelling includes a re-allocation of fixed
More informationFrequently Asked Questions Real-Time Revenue Sufficiency Guarantee
Frequently Asked Questions Revenue Sufficiency Guarantee What is Revenue Sufficiency Guarantee (RSG)? Midwest ISO has the responsibility to ensure that adequate capacity is available and committed to meet
More informationUtility-Based Rate Control in the Internet for Elastic Traffic
272 IEEE TRANSACTIONS ON NETWORKING, VOL. 10, NO. 2, APRIL 2002 Utility-Based Rate Control in the Internet for Elastic Traffic Richard J. La and Venkat Anantharam, Fellow, IEEE Abstract In a communication
More informationFast Convergence of Regularized Learning in Games
Fast Convergence of Regularized Learning in Games Vasilis Syrgkanis Alekh Agarwal Haipeng Luo Robert Schapire Microsoft Research NYC Microsoft Research NYC Princeton University Microsoft Research NYC Strategic
More informationThe Waterbed Effect Explained in Relation to Roaming An Economics Perspective
The Waterbed Effect Explained in Relation to Roaming An Economics Perspective Imme Bodammer Dubai, 18 th January 2009 Batelco Disclaimer The views expressed in this presentation are the views of the author
More informationInteractive Geometry for Surplus Sharing in Cooperative Games
DigitalCommons@USU Economic Research Institute Study Papers Economics and Finance 2005 Interactive Geometry for Surplus Sharing in Cooperative Games Arthur J. Caplan Yuya Sasaki Follow this and additional
More informationResidual Auction Revenue Rights
Residual Auction Revenue Rights Brian Chmielewski Sr. Analyst, Market Simulation Department Market Implementation Committee November 2, 2016 Overview Auction Revenue Rights (ARRs) prorated in Stage 1B
More informationResidual Auction Revenue Rights
Residual Auction Revenue Rights Brian Chmielewski Sr. Analyst, Market Simulation Department Markets and Reliability Committee November 17, 2016 Overview Auction Revenue Rights (ARRs) prorated in Stage
More informationTopics in Artificial Intelligence: Multiagent Systems Selfish Routing in Computer Networks
Topics in Artificial Intelligence: Multiagent Systems Selfish Routing in Computer Networks Sebastian Streg December 10, 2005 1 Introduction Efficiency in networks with lots of traffic is a serious problem
More informationTHE EFFECT OF SEGREGATION IN NON- REPEATED PRISONER'S DILEMMA
THE EFFECT OF SEGREGATION IN NON- REPEATED PRISONER'S DILEMMA Thomas Nordli University of South-Eastern Norway, Norway ABSTRACT This article consolidates the idea that non-random pairing can promote the
More informationA Fair Cooperative Content-Sharing Service
A Fair Cooperative Content-Sharing Service L.Militano a,, A.Iera a, F.Scarcello b a University Mediterranea of Reggio Calabria, DIIES Department, Italy b University della Calabria, Cosenza, DIMES Department,
More informationNetwork Formation Games and the Potential Function Method
CHAPTER 19 Network Formation Games and the Potential Function Method Éva Tardos and Tom Wexler Abstract Large computer networks such as the Internet are built, operated, and used by a large number of diverse
More informationVertical Handover Decision Strategies A double-sided auction approach
Vertical Handover Decision Strategies A double-sided auction approach Working paper Hoang-Hai TRAN Ph.d student DIONYSOS Team INRIA Rennes - Bretagne Atlantique 1 Content Introduction Handover in heterogeneous
More informationCorrelated Equilibria in Sender-Receiver Games
Correlated Equilibria in Sender-Receiver Games Andreas Blume Department of Economics University of Pittsburgh Pittsburgh, PA 15260 May, 2010 Abstract It is shown that the efficiency bound for communication
More informationMobile telephony in the UK
MPRA Munich Personal RePEc Archive Mobile telephony in the UK Mark Armstrong University of Oxford September 1997 Online at https://mpra.ub.uni-muenchen.de/35405/ MPRA Paper No. 35405, posted 15. December
More informationPricing Intra-Datacenter Networks with
Pricing Intra-Datacenter Networks with Over-Committed Bandwidth Guarantee Jian Guo 1, Fangming Liu 1, Tao Wang 1, and John C.S. Lui 2 1 Cloud Datacenter & Green Computing/Communications Research Group
More informationToru Kikuchi Kobe University. Abstract
Network externalities as a source of comparative advantage Toru Kikuchi Kobe University Abstract This note examines how the network externalities of communications activities and trading opportunities
More informationGuaranteeing User Welfare in Network Service: Comparison of Two Subsidy Schemes
Guaranteeing User Welfare in Network Service: Comparison of Two Subsidy Schemes Seung Min Yu and Seong Lyun Kim School of Electrical and Electronic Engineering, Yonsei University 5 Yonsei Ro, Seodaemun
More informationSession 4. Regulation and Policy: Power of OTTs vs. Telcos. Rajkumar Upadhyay
Session 4 Regulation and Policy: Power of OTTs vs. Telcos Rajkumar Upadhyay rkupadhyay@gmail.com Data transforming Service and Application value chain Move from traditional networks towards a IP based
More informationSolutions of Stochastic Coalitional Games
Applied Mathematical Sciences, Vol. 8, 2014, no. 169, 8443-8450 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ams.2014.410881 Solutions of Stochastic Coalitional Games Xeniya Grigorieva St.Petersburg
More informationSales Volume of LCD TVs in the PRC Market and the Overseas Markets Increased by 4.6% and 18.0% Respectively
(For Immediate Release) TCL Multimedia Announces 2016 Interim Results * * * * * * Continued Enhancements in Product Mix and Operational Efficiency Gross Profit Margin Further Improved to 17.4% Sales Volume
More informationNew Bandwidth Sharing and Pricing Policies to Achieve a Win-Win Situation for Cloud Provider and Tenants
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI.9/TPDS.5.4977,
More informationChapter 6 Queuing Disciplines. Networking CS 3470, Section 1
Chapter 6 Queuing Disciplines Networking CS 3470, Section 1 Flow control vs Congestion control Flow control involves preventing senders from overrunning the capacity of the receivers Congestion control
More informationSpectrum Sharing Models in Cognitive Radio Networks
Spectrum Sharing Models in Cognitive Radio Networks Helena Rifà-Pous International Interdisciplinary Institute Universitat Oberta de Catalunya Rb. del Poblenou, 156. 08018 Barcelona, Spain Josep Rifà Department
More informationMath 130 Final Exam Study Guide. 1. Voting
1 Math 130 Final Exam Study Guide 1. Voting (a) Be able to interpret a top choice ballot, preference ballot and preference schedule (b) Given a preference schedule, be able to: i. find the winner of an
More informationPower indices in spanning connectivity games
Power indices in spanning connectivity games Haris Aziz, Oded Lachish, Mike Paterson, and Rahul Savani Computer Science Department, University of Warwick CV4 7AL Coventry, UK {h.aziz,oded,msp,rahul}@dcs.warwick.ac.uk
More informationNetworks. Capital markets day 2017 N O V E M B E R 7-8, N E W Y O R K. Ericsson Internal Page 1
Networks Capital markets day 2017 N O V E M B E R 7-8, 2 0 1 7 N E W Y O R K Ericsson Internal 2017-10-06 Page 1 Fredrik Jejdling Executive Vice President & Head of Networks Ericsson Internal 2017-10-06
More informationAbstract Combinatorial Games
Abstract Combinatorial Games Arthur Holshouser 3600 Bullard St. Charlotte, NC, USA Harold Reiter Department of Mathematics, University of North Carolina Charlotte, Charlotte, NC 28223, USA hbreiter@email.uncc.edu
More informationEmerging Markets Payment Index: Q Report by Fortumo
Emerging Markets Payment Index: Q2 2015 Report by Fortumo Introduction The Emerging Markets Payment Index is intended to be used by web, game and app developers for benchmarking their revenue in markets
More informationAccounting Methodology Document. Long Run Incremental Cost Model: Relationships & Parameters
Accounting Methodology Document Long Run Incremental Cost Model: Relationships & Parameters 31 July 2017 Contents 1 INTRODUCTION... 2 1.1 Overview of LRIC... 2 1.2 Summary... 2 2 LRIC PRINCIPLES... 3 2.1
More information4Q02 Update: Disk Storage Forecast Scenarios,
Forecast Analysis 4Q02 Update: Disk Storage Forecast Scenarios, 2002-2003 Abstract: Clearly, the near-term fate of the disk storage system market is more tightly coupled with micro IT spending trends than
More informationISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 7, Issue 1, July 2017
Congestion Management in Deregulated Power System Using Market Splitting Based Approach Manish Harchand 1, KanwardeepSingh 2 M.Tech student 1, Associate professor 2 Department of Electrical Engineering,
More informationPrinciples of Network Economics
Hagen Bobzin Principles of Network Economics SPIN Springer s internal project number, if known unknown Monograph August 12, 2005 Springer Berlin Heidelberg New York Hong Kong London Milan Paris Tokyo Contents
More informationMobile Offloading for Maximum Utility at Minimum Cost
ISSN 2278 0211 (Online) Mobile Offloading for Maximum Utility at Minimum Cost Anjana Antony M. Tech 4th Sem, Department of Computer Science & Engineering Dr. B. R. Prasad Babu Professor & HOD, Department
More informationData Exchange Design and A Textured State Estimation Algorithm For Distributed Multi-Utility Operations In Electric Power Market.
Data Exchange Design and A Textured State Estimation Algorithm For Distributed Multi-Utility Operations In Electric Power Market Jiansheng Lei Advisor: Dr. Garng M. Huang Department of Electrical Engineering
More informationSequential Two-Prize Contests
Sequential Two-Prize Contests Aner Sela September, 2009 Abstract We study two-stage all-pay auctions with two identical prizes. In each stage, the players compete for one prize. Each player may win either
More informationInter-Domain Routing: BGP
Inter-Domain Routing: BGP Brad Karp UCL Computer Science (drawn mostly from lecture notes by Hari Balakrishnan and Nick Feamster, MIT) CS 3035/GZ01 4 th December 2014 Outline Context: Inter-Domain Routing
More informationMulti-stage Stackelberg Game Approach for Colocation Datacenter Demand Response
Multi-stage Stackelberg Game Approach for Colocation Datacenter Demand Response Minh N. H. Nguyen, DoHyeon Kim, Nguyen H. Tran and Choong Seon Hong Department of Computer Science and Engineering, Kyung
More informationTracking the future? Orbcomm s proposed IPO
Tracking the future? Orbcomm s proposed IPO This week has seen the announcement of a proposed IPO by Orbcomm, seeking to raise up to $150M, and potentially marking the first IPO by one of the mobile satellite
More informationEconomic Issues and Market Dynamics. Ike Elliott Senior Vice President, Global Softswitch Services Level 3 Communications
Economic Issues and Market Dynamics Ike Elliott Senior Vice President, Global Softswitch Services Level 3 Communications Ike.elliott@Level3.com Internet infrastructure costs much less per bit than circuit
More information5G Separating Hype from Promise
5G Separating Hype from Promise HENNING SCHULZRINNE The views and opinions expressed in this presentation are those of the author and do not necessarily reflect the official policy or position of any agency
More informationOn the Road to a Common Market: The European Electricity Market and the Role of Regional Cooperation. Mark Copley 27/05/14
On the Road to a Common Market: The European Electricity Market and the Role of Regional Cooperation Mark Copley 27/05/14 1) Why integrate markets? 2) The legal framework 3) The European Target Model 4)
More information