Flexible Demand in Smart Grids - Modeling and Coordination

The economic analysis of smart grid capabilities needs to incorporate physical boundaries as hard constraints which need to be facilitated by means of flexibility potentials and intelligent dispatching. Due to the distributed nature of demand, economic coordination also needs to be able to facilitate a multitude of individual agents. Questions concerning the modeling and coordination of an active demand side are addressed using tools and techniques from information systems and economics.

[1]  Michael H. Dworkin,et al.  The Energy Trilemma in the Green Mountain State: An Analysis of Vermont's Energy Challenges and Policy Options , 2009 .

[2]  P. Cramton,et al.  A capacity market that makes sense , 2005, IEEE Power Engineering Society General Meeting, 2005.

[3]  F. Schweppe,et al.  Optimal Pricing in Electrical Networks over Space and Time , 1984 .

[4]  Martin Bichler,et al.  Design science in information systems research , 2006, Wirtschaftsinf..

[5]  N. Hartmann,et al.  Impact of different utilization scenarios of electric vehicles on the German grid in 2030 , 2011 .

[6]  Sarvapali D. Ramchurn,et al.  Agent-based control for decentralised demand side management in the smart grid , 2011, AAMAS.

[7]  Liz Sonenberg Online Mechanism Design for Electric Vehicle Charging , 2011 .

[8]  K. Littlewood. Special Issue Papers: Forecasting and control of passenger bookings , 2005 .

[9]  W. Short,et al.  Evaluating the Impacts of Real-Time Pricing on the Usage of Wind Generation , 2009, IEEE Transactions on Power Systems.

[10]  L. Bertolini,et al.  Urban Development without more Mobility by Car? Lessons from Amsterdam, a Multimodal Urban Region , 2003 .

[11]  K. Talluri,et al.  The Theory and Practice of Revenue Management , 2004 .

[12]  Martijn Brons,et al.  Plug-in Hybrid and Battery Electric Vehicles. Market penetration scenarios of electric drive vehicles , 2010 .

[13]  Steven M. Shugan,et al.  Electronic Tickets, Smart Cards, and Online Prepayments: When and How to Advance Sell , 2001 .

[14]  V. Ismet Ugursal,et al.  Modeling of end-use energy consumption in the residential sector: A review of modeling techniques , 2009 .

[15]  Chris Hendrickson,et al.  The flexibility of departure times for work trips , 1984 .

[16]  R. Suganya,et al.  Data Mining Concepts and Techniques , 2010 .

[17]  Christof Weinhardt,et al.  Decision Support for Electric Vehicle Charging , 2012, AMCIS.

[18]  B.D. Pitt,et al.  Application of data mining techniques to load profiling , 1999, Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).

[19]  Dogan Keles,et al.  Comparison of extended mean-reversion and time series models for electricity spot price simulation considering negative prices , 2012 .

[20]  Christof Weinhardt Engineering Smart Retail Electricity Markets , 2012 .

[21]  Joseph M. Roop,et al.  Modeling Electric Contract Choice: An Agent Based Approach , 2003 .

[22]  Dominik Möst,et al.  Future power markets , 2007, Wirtsch..

[23]  Elise Miller-Hooks,et al.  Fleet Management for Vehicle Sharing Operations , 2011, Transp. Sci..

[24]  Lukasz A. Kurgan,et al.  A survey of Knowledge Discovery and Data Mining process models , 2006, The Knowledge Engineering Review.

[25]  Energiepolitik: Erfolgreiche Energiewende nur im europäischen Kontext , 2012 .

[26]  J. Dunn Well-Separated Clusters and Optimal Fuzzy Partitions , 1974 .

[27]  S. Borenstein,et al.  Dynamic Pricing, Advanced Metering, and Demand Response in Electricity Markets , 2002 .

[28]  Christoph M. Flath,et al.  Ein Vorgehensmodell zur Gestaltung kundengruppenspezifischer Time-of-Use Tarife , 2012, MKWI 2012.

[29]  Ramteen Sioshansi,et al.  OR Forum - Modeling the Impacts of Electricity Tariffs on Plug-In Hybrid Electric Vehicle Charging, Costs, and Emissions , 2012, Oper. Res..

[30]  D. McFadden,et al.  URBAN TRAVEL DEMAND - A BEHAVIORAL ANALYSIS , 1977 .

[31]  Yue Yuan,et al.  Modeling of Load Demand Due to EV Battery Charging in Distribution Systems , 2011, IEEE Transactions on Power Systems.

[32]  Kenneth Train,et al.  Optimal Regulation: The Economic Theory of Natural Monopoly , 1991 .

[33]  F. Schweppe Spot Pricing of Electricity , 1988 .

[34]  K. Schisler,et al.  The role of demand response in ancillary services markets , 2008, 2008 IEEE/PES Transmission and Distribution Conference and Exposition.

[35]  Hethie Parmesano,et al.  Rate Design Is the No. 1 Energy Efficiency Tool , 2007 .

[36]  R. Bohn,et al.  Spot pricing of public utility services , 1982 .

[37]  Z. Vale,et al.  Data mining techniques application in power distribution utilities , 2008, 2008 IEEE/PES Transmission and Distribution Conference and Exposition.

[38]  J. Fuller,et al.  Time-of-Use Pricing in Electricity Markets Under Different Market Structures , 2012, IEEE Transactions on Power Systems.

[39]  Christopher R. Knittel,et al.  Automobiles on Steroids: Product Attribute Trade-Offs and Technological Progress in the Automobile Sector , 2009 .

[40]  Teresa Wu,et al.  Decentralized operation strategies for an integrated building energy system using a memetic algorithm , 2012, Eur. J. Oper. Res..

[41]  Ulrich Eberle,et al.  Sustainable transportation based on electric vehicle concepts: a brief overview , 2010 .

[42]  Mobashwir Khan,et al.  Predicting the Market Potential of Plug-in Electric Vehicles Using Multiday GPS Data , 2012 .

[43]  Clemens van Dinther,et al.  Benchmarking electric vehicle charging control strategies , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).

[44]  Wolfgang Ketter,et al.  The Power Trading Agent Competition , 2011 .

[45]  Jukka Paatero,et al.  A model for generating household electricity load profiles , 2006 .

[46]  Christoph Goebel,et al.  On the business value of ICT-controlled plug-in electric vehicle charging in California , 2013 .

[47]  A. Faruqui,et al.  Time-Varying Retail Electricity Prices: Theory and Practice , 2003 .

[48]  Ahmad Faruqui,et al.  Unlocking the €53 Billion Savings from Smart Meters in the EU - How Increasing the Adoption of Dynamic Tariffs Could Make or Break the EU’s Smart Grid Investment , 2009 .

[49]  Saifur Rahman,et al.  An investigation into the impact of electric vehicle load on the electric utility distribution system , 1993 .

[50]  Thomas N. Taylor,et al.  24/7 Hourly Response to Electricity Real-Time Pricing with up to Eight Summers of Experience , 2005 .

[51]  T. Gerpott,et al.  Gestaltung von Tarifen für kommunikationsfähige Messsysteme im Verbund mit zeitvariablen Stromtarifen , 2013 .

[52]  Thomas N. Taylor,et al.  The Long-Run Effects of a Time-of-Use Demand Charge , 1990 .

[53]  Kenneth A. Small,et al.  Valuing time and reliability: assessing the evidence from road pricing demonstrations , 2003 .

[54]  Christof Weinhardt,et al.  Fusebox dialects: Central appliance recognition for a smarter grid , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).

[55]  Alberto J. Lamadrid,et al.  The Hidden System Costs of Wind Generation in a Deregulated Electricity Market , 2012 .

[56]  P. Postolache,et al.  Customer Characterization Options for Improving the Tariff Offer , 2002, IEEE Power Engineering Review.

[57]  Sarvapali D. Ramchurn,et al.  Putting the 'smarts' into the smart grid , 2012, Commun. ACM.

[58]  Randall Guensler,et al.  Electric vehicles: How much range is required for a day’s driving? , 2011 .

[59]  Fereidoon P. Sioshansi So What's So Smart about the Smart Grid? , 2011 .

[60]  B. De Moor,et al.  Short-term load forecasting, profile identification, and customer segmentation: a methodology based on periodic time series , 2005, IEEE Transactions on Power Systems.

[61]  Wolfgang Ketter,et al.  A Multi-Agent Energy Trading Competition , 2009 .

[62]  J. Neufeld,et al.  Price Discrimination and the Adoption of the Electricity Demand Charge , 1987, The Journal of Economic History.

[63]  Christof Weinhardt,et al.  Market-Engineering , 2003, Wirtschaftsinf..

[64]  Z. Vale,et al.  An electric energy consumer characterization framework based on data mining techniques , 2005, IEEE Transactions on Power Systems.

[65]  Farrokh Albuyeh,et al.  Grid of the future , 2009, IEEE Power and Energy Magazine.

[66]  J. Fuller,et al.  A Model for Efficient Consumer Pricing Schemes in Electricity Markets , 2007, IEEE Transactions on Power Systems.

[67]  J. Spengler Vertical Integration and Antitrust Policy , 1950, Journal of Political Economy.

[68]  Tooraj Jamasb,et al.  Smart Grids and Energy Trilemma of Affordability, Reliability and Sustainability: The Inevitable Paradigm Shift in Power Sector , 2012 .

[69]  Hans-Georg Kemper,et al.  Business Intelligence — Grundlagen und praktische Anwendungen , 2004 .

[70]  Ramachandra Kota,et al.  Cooperatives of distributed energy resources for efficient virtual power plants , 2011, AAMAS.

[71]  Kay W. Axhausen,et al.  A framework for investigating the impact of PHEVS , 2009 .

[72]  Christof Weinhardt,et al.  A multi-attribute service portfolio design problem , 2011, 2011 IEEE International Conference on Service-Oriented Computing and Applications (SOCA).

[73]  F. J. Soares,et al.  Identifying management procedures to deal with connection of Electric Vehicles in the grid , 2009, 2009 IEEE Bucharest PowerTech.

[74]  Pravin Varaiya,et al.  Smart Operation of Smart Grid: Risk-Limiting Dispatch , 2011, Proceedings of the IEEE.

[75]  S. Stoft Power System Economics: Designing Markets for Electricity , 2002 .

[76]  Carsten Block,et al.  Assessing the Impact of Price Forecast Errors on the Economics of Distributed Storage Systems , 2010, 2010 43rd Hawaii International Conference on System Sciences.

[77]  Jochen Wirtz,et al.  Has Revenue Management become Acceptable? , 2003 .

[78]  Donald W. Bouldin,et al.  A Cluster Separation Measure , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[79]  J. Tirole The Theory of Industrial Organization , 1988 .

[80]  Carlo Vercellis,et al.  Business Intelligence: Data Mining and Optimization for Decision Making , 2009 .

[81]  Samuel E. Bodily,et al.  A Taxonomy and Research Overview of Perishable-Asset Revenue Management: Yield Management, Overbooking, and Pricing , 1992, Oper. Res..

[82]  C. Woo,et al.  Now that California has AMI, what can the state do with it? , 2008 .

[83]  Achim Streit,et al.  A utility-based approach for customised cloud service selection , 2015, Int. J. Comput. Sci. Eng..

[84]  P. Denholm,et al.  Estimating the value of electricity storage in PJM: Arbitrage and some welfare effects , 2009 .

[85]  Jürgen Hagedorn,et al.  Data Mining , 2009, Business & Information Systems Engineering.

[86]  P. Rousseeuw Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .

[87]  Christof Weinhardt,et al.  Market-Based EV Charging Coordination , 2013, 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

[88]  Eric Bonabeau,et al.  Agent-based modeling: Methods and techniques for simulating human systems , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[89]  A. Roth The Economist as Engineer: Game Theory, Experimentation, and Computation as Tools for Design Economics , 2002 .

[90]  M. Ventosa,et al.  Electricity market modeling trends , 2005 .

[91]  Peter Cramton,et al.  The Convergence of Market Designs for Adequate Generating Capacity , 2006 .

[92]  Benoît Chevalier-Roignant,et al.  Strategic Investment Under Uncertainty: A Synthesis , 2010, Eur. J. Oper. Res..

[93]  A. Faruqui The Ethics of Dynamic Pricing , 2010 .

[94]  Christof Weinhardt,et al.  An Online Mechanism for Incorporating Demand Side Flexibility into the Smart Grid , 2012 .

[95]  Gerard J. M. Smit,et al.  Planning the production of a fleet of domestic combined heat and power generators , 2012, Eur. J. Oper. Res..

[96]  E. Ostrom Beyond Markets and States: Polycentric Governance of Complex Economic Systems , 2010, American Economic Review.

[97]  Cong Liu,et al.  Impact of plug-in hybrid electric vehicles on power systems with demand response and wind power , 2011 .

[98]  Molly Espey,et al.  Turning on the Lights: A Meta-Analysis of Residential Electricity Demand Elasticities , 2004, Journal of Agricultural and Applied Economics.

[99]  Kenneth Train,et al.  Customers' Choice Among Retail Energy Suppliers: The Willingness-to-Pay for Service Attributes , 2000 .

[100]  M. Rothstein An Airline Overbooking Model , 1971 .

[101]  J. Holland,et al.  Artificial Adaptive Agents in Economic Theory , 1991 .

[102]  Enrico Carpaneto,et al.  Probabilistic characterisation of the aggregated residential load patterns , 2008 .

[103]  Fuqiang Zhang,et al.  Strategic Customer Behavior, Commitment, and Supply Chain Performance , 2007 .

[104]  S. Borenstein The Long-Run Efficiency of Real-Time Electricity Pricing , 2005 .

[105]  Willett Kempton,et al.  Vehicle-to-grid power implementation: From stabilizing the grid to supporting large-scale renewable energy , 2005 .

[106]  E. Andrew Boyd,et al.  Revenue Management and E-Commerce , 2003, Manag. Sci..

[107]  C. S. Chang A fast interactive optimal load management algorithm under time-varying tariffs , 1988 .

[108]  Anna Creti,et al.  Supply security and short-run capacity markets for electricity , 2007 .

[109]  H. Farhangi,et al.  The path of the smart grid , 2010, IEEE Power and Energy Magazine.

[110]  D. Newbery,et al.  The Supply Function Equilibrium and its Policy Implications for Wholesale Electricity Auctions , 2009 .

[111]  Sebastian Lehnhoff Auf dem Weg zum Internet der Energie , 2014, HMD Praxis der Wirtschaftsinformatik.

[112]  Carlos Ramos,et al.  AI in Power Systems and Energy Markets , 2011, IEEE Intell. Syst..

[113]  Shmuel S. Oren,et al.  Priority Pricing of Interruptible Electric Service with an Early Notification Option , 1993 .

[114]  Catherine Rosenberg,et al.  How internet concepts and technologies can help green and smarten the electrical grid , 2011, CCRV.

[115]  Dominik Möst,et al.  Scheduling of Electrical Household Appliances with Price Signals , 2006, OR.

[116]  Karl Henrik Johansson,et al.  Scheduling smart home appliances using mixed integer linear programming , 2011, IEEE Conference on Decision and Control and European Control Conference.

[117]  Hans-Jürgen Appelrath,et al.  Internet of Energy , 2012, Bus. Inf. Syst. Eng..

[118]  F. A. Amoroso,et al.  Advantages of efficiency-aware smart charging strategies for PEVs , 2012 .

[119]  David P. Chassin,et al.  Decentralized Coordination through Digital Technology, Dynamic Pricing, and Customer-Driven Control: The GridWise Testbed Demonstration Project , 2008 .

[120]  Mikko Kolehmainen,et al.  Feature-Based Clustering for Electricity Use Time Series Data , 2009, ICANNGA.

[121]  T.C.E. Cheng,et al.  A state-of-the-art review of parallel-machine scheduling research , 1990 .

[122]  Florian Salah,et al.  Impact of Electric Vehicles on High-Voltage Grids: A Swiss Case Study , 2013 .

[123]  Robin Mason,et al.  Investment, uncertainty and pre-emption , 2010 .

[124]  Guy R. Newsham,et al.  The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review , 2010 .

[125]  H. Jamjoom,et al.  Time-of-Use pricing policies for offering Cloud Computing as a service , 2010, Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics.

[126]  Riccardo Fagiani,et al.  Cost and emissions impacts of plug-in hybrid vehicles on the Ohio power system , 2010 .

[127]  Hamed Mohsenian Rad,et al.  Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments , 2010, IEEE Transactions on Smart Grid.

[128]  Meryl P. Gardner,et al.  Willingness to pay for electric vehicles and their attributes , 2011 .

[129]  G. K. Papagiannis,et al.  Determination of the optimal electricity selling price of a retailer via load profiling , 2012, 2012 47th International Universities Power Engineering Conference (UPEC).

[130]  Hans-Georg Kemper,et al.  Business Intelligence und Competitive Intelligence - IT-basierte Managementunterstützung und markt-/wettbewerbsorientierte Anwendungen , 2006, HMD Prax. Wirtsch..

[131]  D. Kirschen Demand-side view of electricity markets , 2003 .

[132]  Michael Chertkov,et al.  Distributed control of reactive power flow in a radial distribution circuit with high photovoltaic penetration , 2010, IEEE PES General Meeting.

[133]  Kenneth A. Small,et al.  THE SCHEDULING OF CONSUMER ACTIVITIES: WORK TRIPS , 1982 .

[134]  Jürgen Beringer,et al.  Online-Data-Mining auf Datenströmen: Methoden zur Clusteranalyse und Klassifikation , 2007 .

[135]  V. Smith Microeconomic Systems as an Experimental Science , 1982 .

[136]  Sarvapali D. Ramchurn,et al.  Trading agents for the smart electricity grid , 2010, AAMAS.

[137]  S. Kennedy,et al.  A new wholesale bidding mechanism for enhanced demand response in smart grids , 2010, 2010 Innovative Smart Grid Technologies (ISGT).

[138]  C. Goldman,et al.  Option value of electricity demand response , 2005 .

[139]  Klaus-Henning Ahlert,et al.  Economics of Distributed Storage Systems: An economic analysis of arbitrage-maximizing storage systems at the end consumer level , 2010 .

[140]  Goran Strbac,et al.  Demand side management: Benefits and challenges ☆ , 2008 .

[141]  Sarvapali D. Ramchurn,et al.  Agent-based micro-storage management for the Smart Grid , 2010, AAMAS.

[142]  Shmuel S. Oren,et al.  Multilevel demand subscription pricing for electric power , 1986 .

[143]  W. Scott Spangler,et al.  The integration of business intelligence and knowledge management , 2002, IBM Syst. J..

[144]  S. Agassi World Without Oil: Better Place Builds a Future for Electric Vehicles (Innovations Case Narrative: Better Place) , 2009, Innovations: Technology, Governance, Globalization.

[145]  Noam Nisan,et al.  Algorithmic Mechanism Design , 2001, Games Econ. Behav..

[146]  Larry Weatherford Additional Paper: EMSR versus EMSU: Revenue or utility? , 2004 .

[147]  Yin-Yen Tseng,et al.  Valuation of Travel Time Reliability in Passenger Transport , 2008 .

[148]  Eduardo S. Schwartz,et al.  Investment Under Uncertainty. , 1994 .

[149]  Dominik Möst,et al.  A survey of stochastic modelling approaches for liberalised electricity markets , 2010, Eur. J. Oper. Res..

[150]  F. Gubina,et al.  An approach to customers daily load profile determination , 2002, IEEE Power Engineering Society Summer Meeting,.

[151]  Robert Winter,et al.  Vorgehensmodell für die Informationsbedarfsanalyse im Data Warehousing , 2002 .

[152]  R. McDonald,et al.  The Value of Waiting to Invest , 1982 .

[153]  Christian von Hirschhausen,et al.  Efficient pricing for European electricity networks - The theory of nodal pricing applied to feeding-in wind in Germany , 2008 .

[154]  Christoph Flath,et al.  Clusteranalyse von Smart-Meter-Daten , 2012, Wirtschaftsinf..

[155]  Kay W. Axhausen,et al.  Plug-in hybrid electric vehicles and smart grids: Investigations based on a microsimulation , 2013 .

[156]  Poul Erik Morthorst,et al.  How to promote renewable energy systems successfully and effectively , 2004 .

[157]  D. J. Wu,et al.  Optimal bidding and contracting strategies for capital-intensive goods , 2002, Eur. J. Oper. Res..

[158]  E. Maskin,et al.  The Implementation of Social Choice Rules: Some General Results on Incentive Compatibility , 1979 .

[159]  Gilbert E. Metcalf,et al.  Energy conservation investment: Do consumers discount the future correctly? , 1993 .

[160]  B.F. Wollenberg,et al.  Toward a smart grid: power delivery for the 21st century , 2005, IEEE Power and Energy Magazine.

[161]  Zita A. Vale,et al.  A Comparative Analysis of Clustering Algorithms Applied to Load Profiling , 2003, MLDM.

[162]  K. Bhattacharya,et al.  Competitive framework for procurement of interruptible load services , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[163]  Johan Driesen,et al.  The impact of vehicle-to-grid on the distribution grid , 2011 .

[164]  Dirk Zumkeller,et al.  Deutsches Mobilitätspanel (MOP) - wissenschaftliche Begleitung und erste Auswertungen. Bericht 2008 , 2008 .

[165]  David L. Greene,et al.  Estimating daily vehicle usage distributions and the implications for limited-range vehicles , 1985 .

[166]  Suresh K. Nair,et al.  An application of yield management for Internet Service Providers , 2001 .

[167]  Wolfgang Ketter,et al.  Demand side management—A simulation of household behavior under variable prices , 2011 .

[168]  F. Schweppe,et al.  Algorithms for a Spot Price Responding Residential Load Controller , 1989, IEEE Power Engineering Review.

[169]  Dirk Neumann,et al.  A Minimal Market Model in Ephemeral Markets , 2004, FORTE Workshops.

[170]  Hosam K. Fathy,et al.  On the aggregate grid load imposed by battery health-conscious charging of plug-in hybrid electric vehicles , 2011 .

[171]  Nicholas R. Jennings,et al.  Computational-Mechanism Design: A Call to Arms , 2003, IEEE Intell. Syst..

[172]  M. Genoese,et al.  The merit-order effect: A detailed analysis of the price effect of renewable electricity generation on spot market prices in Germany , 2008 .

[173]  Mohammed H. Albadi,et al.  A summary of demand response in electricity markets , 2008 .

[174]  Anke Weidlich,et al.  Internet der Energie : IKT für Energiemärkte der Zukunft; Die Energiewirtschaft auf dem Weg ins Internetzeitalter , 2008 .

[175]  Craig B. Arnold,et al.  Effects of undercharge and internal loss on the rate dependence of battery charge storage efficiency , 2012 .

[176]  Dirk Neumann,et al.  A Market Mechanism for Energy Allocation in Micro-CHP Grids , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

[177]  Henrik Fridén,et al.  Energy management strategies for plug-in hybrid electric vehicles , 2012 .

[178]  Gregory Piatetsky-Shapiro,et al.  Advances in Knowledge Discovery and Data Mining , 2004, Lecture Notes in Computer Science.

[179]  Klaus-Henning Ahlert,et al.  Sensitivity analysis of the economic benefits from electricity storage at the end consumer level , 2009, 2009 IEEE Bucharest PowerTech.

[180]  Benefits and Pitfalls of Network Interconnection , 1992 .

[181]  Henrik Lund,et al.  Modelling of energy systems with a high percentage of CHP and wind power , 2003 .

[182]  Peng-Sheng You,et al.  Dynamic Pricing in Airline Seat Management for Flights with Multiple Flight Legs , 1999, Transp. Sci..

[183]  Peter Belobaba,et al.  OR Practice - Application of a Probabilistic Decision Model to Airline Seat Inventory Control , 1989, Oper. Res..

[184]  Elisabeth Dütschke,et al.  Dynamic electricity pricing - Which programs do consumers prefer? , 2013 .

[185]  Jignesh Solanki,et al.  Residential Demand Response model and impact on voltage profile and losses of an electric distribution network , 2012 .

[186]  Christof Weinhardt,et al.  Economic benchmark of charging strategies for battery electric vehicles , 2011, 2011 IEEE Trondheim PowerTech.

[187]  Dominik Möst,et al.  Simulations in the Smart Grid Field Study MeRegioSimulationen im MeRegio Smart Grid Feldtest , 2010, it Inf. Technol..

[188]  F. Black,et al.  The Pricing of Options and Corporate Liabilities , 1973, Journal of Political Economy.

[189]  I. Sidhu,et al.  Electric Vehicles in the United States , 2009 .

[190]  Paul L. Joskow,et al.  Lessons Learned From Electricity Market Liberalization , 2008 .

[191]  Fred Schweppe,et al.  Homeostatic Utility Control , 1980, IEEE Transactions on Power Apparatus and Systems.

[192]  Sanem Sergici,et al.  Piloting the Smart Grid , 2009 .

[193]  Willett Kempton,et al.  ELECTRIC VEHICLES AS A NEW POWER SOURCE FOR ELECTRIC UTILITIES , 1997 .

[194]  M. Pollitt,et al.  Benchmarking and regulation: international electricity experience , 2000 .

[195]  Paul L. Joskow,et al.  Capacity payments in imperfect electricity markets: Need and design , 2008 .

[196]  Richard T. Watson,et al.  Information Systems and Environmentally Sustainable Development: Energy Informatics and New Directions for the IS Community , 2010, MIS Q..

[197]  S. Oren,et al.  Multi-product pricing for electric power , 1987 .

[198]  Christoph M. Flath,et al.  A Revenue Management Approach for Efficient Electric Vehicle Charging Coordination , 2012, 2012 45th Hawaii International Conference on System Sciences.

[199]  G. Heffner Demand Response Valuation Frameworks Paper , 2010 .