Wolfgang Ketter
Skip Abstract Section
Abstract
The drive for sustainability as evidenced by the Paris Accords is forcing a radical re-examination of the way electricity is produced, managed, and consumed. Research on sustainable smart electricity markets is facilitating the emergence of sustainable energy systems and a revolution in the efficiency and reliability of electricity consumption, production, and distribution. Traditional electricity grids and markets are being disrupted by a range of forces, including the rise of weather-dependent and distributed renewable sources, growing consumer involvement in managing their power consumption and production, and the electrification of transport. These changes will likely bring about complex and dynamic smart electricity markets that rely on analysis of information to inform stakeholders, and on effective integration of stakeholders’ actions. We outline a research agenda on how advances in information-intensive processes are fundamental for facilitating these transformations, describe the roles that such processes will play, and discuss Information Systems research challenges necessary to achieve these goals. These challenges span public policy, privacy, and security; market mechanisms; and data-driven decision support. The diverse challenges we outline also underscore that the diverse IS research perspective is instrumental for addressing the complexity and interdisciplinary nature of this research.
- Alessandro Acquisti, Laura Brandimarte, and George Loewenstein. 2015. Privacy and human behavior in the age of information. Science 347, 6221 (2015), 509--514. Retrieved fromGoogle Scholar
- Jamshid Aghaei and Mohammad-Iman Alizadeh. 2013. Demand response in smart electricity grids equipped with renewable energy sources: A review. Renewable and Sustainable Energy Reviews 18 (2013), 64--72.Google ScholarCross Ref
- Krishnan S. Anand and Haim Mendelson. 1997. Information and Organization for Horizontal Multimarket Coordination. December 1, 1997. Retrieved fromGoogle Scholar
- Georgios T. Andreou, Andreas L. Symeonidis, Christos Diou, Pericles A. Mitkas, and Dimitrios P. Labridis. 2012. A framework for the implementation of large scale demand response. In 2012 International Conference on Smart Grid Technology, Economics and Policies (SG-TEP’12), 1--4. Retrieved fromGoogle Scholar
- Yannis Bakos. 1998. The emerging role of electronic marketplaces on the Internet. Communications of the ACM 41, 8 (1998), 35--42. Google ScholarDigital Library
- Gaurav Bansal, Fatemeh “Mariam” Zahedi, and David Gefen. 2010. The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online. Decision Support Systems 49, 2 (2010), 138--150. Retrieved from Google ScholarDigital Library
- Ravi Bapna, Paulo Goes, and Alok Gupta. 2005. Pricing and allocation for quality-differentiated online services. Management Science 51, 7 (2005) 1141--1150. Google ScholarDigital Library
- Martin Bichler, Alok Gupta, and Wolfgang Ketter. 2010. Designing smart markets. In Information Systems Research, 20th Anniversary Special Issue 21 (2010), 688--699.Google Scholar
- Martin Bichler, Jayant Kalagnanam, Kaan Katircioglu, Alan J. King, Richard D. Lawrence, Ho Soo Lee, Grace Y. Lin, and Yingdong Lu. 2002. Applications of flexible pricing in business-to-business electronic commerce. IBM Systems Journal 41, 2 (2002) 287--302. Google ScholarDigital Library
- Severin Borenstein, James B. Bushnell, and Frank A. Wolak. 2002. Measuring market inefficiencies in California's restructured wholesale electricity market. American Economic Review 92, 5 (2002) 1376--1405.Google ScholarCross Ref
- Tobias Brandt, Stefan Feuerriegel, and Dirk Neumann. 2017. Modeling interferences in information systems design for cyberphysical systems: Insights from a smart grid application. European Journal of Information Systems 27, 2 (2017) 207--220.Google ScholarCross Ref
- Tobias Brandt, Sebastian Wagner, and Dirk Neumann. 2017. Evaluating a business model for vehicle-grid integration: Evidence from Germany. Transportation Research Part D: Transport and Environment 50, Supplement C (2017), 488--504. Retrieved fromGoogle ScholarCross Ref
- Diane Broad, Kurt Christansen, Ken Dragoon, Kalin Lee, Kenji Spielman, and Simon Parkinson. 2012. Smart End-Use Energy Storage and Integration of Renewable Energy. Ecofys US, Corvallis, OR. Retrieved from http://assets.fiercemarkets.com/public/sites/energy/reports/ecofys.pdf.Google Scholar
- Jan vom Brocke, Richard T. Watson, Catherine Dwyer, Steve Elliot, and Nigel Melville. 2013. Green information systems: Directives for the IS discipline. Communications of the Association for Information Systems 33, 1 (2013), 509--520.Google ScholarCross Ref
- Ramnath K. Chellappa and Raymond G. Sin. 2005. Personalization versus privacy: An empirical examination of the online consumer's dilemma. Information Technology and Management 6, 2--3 (2005), 181--202. Retrieved from Google ScholarDigital Library
- Kwok W. Cheung. 2004. Standard market design for ISO New England wholesale electricity market: An overview. In Proceedings of the 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, 2004 (DRPT’04), Vol. 1, 38--43. Retrieved fromGoogle ScholarCross Ref
- Sunetra Chowdhury, S. P. Chowdhury, and Peter Crossley. 2009. Microgrids and Active Distribution Networks. Institution of Engineering and Technology, Herts, UK.Google Scholar
- Antonio Colmenar-Santos, Severo Campíñez-Romero, Clara Pérez-Molina, and Manuel Castro-Gil. 2012. Profitability analysis of grid-connected photovoltaic facilities for household electricity self-sufficiency. Energy Policy 51 (December 2012), 749--764. Retrieved fromGoogle Scholar
- Peter Cramton. 2017. Electricity market design. Oxford Review of Economic Policy 33, 4 (2017), 589--612. Retrieved fromGoogle ScholarCross Ref
- Peter Cramton and Steven Stoft. 2005. A capacity market that makes sense. Electricity Journal 18, 7 (2005), 43--54. Retrieved fromGoogle ScholarCross Ref
- Anders Dalén and Jan Krämer. 2017. Towards a user-centered feedback design for smart meter interfaces to support efficient energy-use choices. Business 8 Information Systems Engineering 59, 5 (2017), 361--373. Retrieved fromGoogle Scholar
- Sean Davies. 2010. Internet of energy. Engineering 8 Technology 5, 16 (2010), 42--45.Google Scholar
- Benedetto De Martino, Dharshan Kumaran, Ben Seymour, and Raymond J. Dolan. 2006. Frames, biases, and rational decision-making in the human brain. Science (New York, N.Y.) 313, 5787 (2006), 684--87. Retrieved fromGoogle Scholar
- Angelika Dimoka. 2010. What does the brain tell us about trust and distrust? Evidence from a functional neuroimaging study. MIS Quarterly, 34, 2 (2006), 373--396. Google ScholarDigital Library
- Tamara Dinev and Paul Hart. 2006. An extended privacy calculus model for E-commerce transactions. Information Systems Research 17, 1 (2006), 61--80. Google ScholarDigital Library
- Stefan Feuerriegel, Philipp Bodenbenner, and Dirk Neumann. 2016. Value and granularity of ICT and smart meter data in demand response systems. Energy Economics 54 (2016), 1--10.Google ScholarCross Ref
- Stefan Feuerriegel, Jens Strüker, and Dirk Neumann. 2012. Reducing price uncertainty through demand side management. In 33rd International Conference on Information Systems (ICIS’12). Association for Information Systems, Orlando, FL.Google Scholar
- Christoph M. Flath, Jens P. Ilg, Sebastian Gottwalt, Hartmut Schmeck, and Christof Weinhardt. 2013. Improving electric vehicle charging coordination through area pricing. Transportation Science 48, 4 (2013), 619--634. Google ScholarDigital Library
- Gilbert Fridgen, Lukas Hafner, Christian Konig, and Thomas Sachs. 2016. Providing utility to utilities: The value of information systems enabled flexibility in electricity consumption. Journal of the Association of Information Systems 17, 8 (2016), 537--563.Google ScholarCross Ref
- Esther Gal-Or. 1985. Information sharing in oligopoly. Econometrica 53, 2 (1985), 329. Retrieved fromGoogle ScholarCross Ref
- Esther Gal-Or and Anindya Ghose. 2005. The economic incentives for sharing security information. Information Systems Research 16, 2 (2005), 186--208. Google ScholarDigital Library
- Johannes Gärttner, Christoph M. Flath, and Christof Weinhardt. 2018. Portfolio and contract design for demand response resources. European Journal of Operational Research 266, 1 (2018), 340--353. Retrieved fromGoogle ScholarCross Ref
- Xiaojun Geng and Pramod P. Khargonekar. 2013. Demand management of electric vehicle loads. In 2013 American Control Conference (ACC'13), 5821--5826. Retrieved fromGoogle Scholar
- Yashar Ghiassi-Farrokhfal, Wolfgang Ketter, and John Collins. 2017. Designing a battery-friendly electricity market. In ICIS 2017 Proceedings (ICIS'17).Google Scholar
- Christoph Goebel, Hans-Arno Jacobsen, Victor del Razo, Christoph Doblander, Jose Rivera, Jens Ilg, Christoph Flath, Hartmut Schmeck, Christof Weinhardt, Daniel Pathmaperuma, Hans-Jürgen Appelrath, Michael Sonnenschein, Sebastian Lehnhoff, Oliver Kramer, Thorsten Staake, Elgar Fleisch, Dirk Neumann, Jens Strüker, Koray Erek, Rüdiger Zarnekow, Holger Ziekow, and Jörg Lässig. 2014. Energy informatics. Business 8 Information Systems Engineering 6, 1 (2014), 25--31. Retrieved fromGoogle Scholar
- Daniel Golovin and Andreas Krause. 2011. Adaptive submodularity: Theory and applications in active learning and stochastic optimization. Journal of Artificial Intelligence Research 42, 1 (2011), 427--486. Google ScholarDigital Library
- Sebastian Gottwalt, Wolfgang Ketter, Carsten Block, John Collins, and Christof Weinhardt. 2011. Demand side management - A simulation of household behavior under variable prices. Energy Policy 39 (2011), 8163--8174.Google ScholarCross Ref
- Nelson Granados, Alok Gupta, and Robert J. Kauffman. 2010. Research commentary—Information transparency in business-to-consumer markets: Concepts, framework, and research agenda. Information Systems Research 21, 2 (2010), 207--226. Retrieved from Google ScholarDigital Library
- Albert Y. Ha and Shilu Tong. 2008. Contracting and information sharing under supply chain competition. Management Science 54, 4 (2008), 701--715. Retrieved from Google ScholarDigital Library
- Andre Hanelt, Sebastian Busse, and Lutz M. Kolbe. 2017. Driving business transformation toward sustainability: Exploring the impact of supporting IS on the performance contribution of eco-innovations. Information Systems Journal 27, 4 (2017), 463--502. Retrieved fromGoogle ScholarCross Ref
- Alan R. Hevner, Salvatore T. March, Jinsoo Park, and Sudha Ram. 2004. Design science in information systems research. MIS Quarterly, 28, 1 (2004), 75--105. Google ScholarCross Ref
- Nicolas Höning and Han La Poutre. 2012. Reduction of market power and stabilisation of outcomes in a novel and simplified two-settlement electricity market. In Proceedings of the 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 2 (WI-IAT’12), 103--110. IEEE Computer Society. Retrieved from Google ScholarDigital Library
- Nicolas Höning, Han Noot, and Han la Poutré. 2011. Integrating power and reserve trade in electricity networks. In Proceedings of the 10th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS’11). Google ScholarDigital Library
- Bing Jing. 2000. Versioning information goods with network externalities. In Proceedings of the 21st International Conference on Information Systems (ICIS'00), 1--12. Google ScholarDigital Library
- Paul Joskow and Jean Tirole. 2007. Reliability and competitive electricity markets. Rand Journal of Economics 38, 1 (2007), 60--84.Google ScholarCross Ref
- Micha Kahlen, Wolfgang Ketter, and Alok Gupta. 2018. Electric vehicle virtual power plant dilemma: Grid balancing versus customer mobility. Production and Operations Management.Google Scholar
- Michael L. Katz and Carl Shapiro. 1985. Network externalities, competition, and compatibility. American Economic Review 75, 3 (1985), 424--440.Google Scholar
- Jan Horst Keppler. 2017. Rationales for capacity remuneration mechanisms: Security of supply externalities and asymmetric investment incentives. Energy Policy 105 (2017), 562--570.Google ScholarCross Ref
- Wolfgang Ketter, Markus Peters, John Collins, and Alok Gupta. 2016a. A multiagent competitive gaming platform to address societal challenges. MIS Quarterly 40, 2 (2016a), 447--460. Google ScholarDigital Library
- Wolfgang Ketter, Markus Peters, John Collins, and Alok Gupta. 2016b. Competitive benchmarking: An IS research approach to address wicked problems with big data and analytics. MIS Quarterly 40, 4 (2016b), 1057--1080. Google ScholarDigital Library
- Danxia Kong and Maytal Saar-Tsechansky. 2014. Collaborative information acquisition for data-driven decisions. Machine Learning 95, 1 (2014), 71--86. Google ScholarDigital Library
- Derck Koolen, Wolfgang Ketter, Liangfei Qiu, and Alok Gupta. 2017. The sustainability tipping point in electricity markets. In ICIS 2017 Proceedings (ICIS'17). http://aisel.aisnet.org/icis2017/IT-and-Social/Presentations/14.Google Scholar
- Xavier Labandeira, José M. Labeaga, and Xiral López-Otero. 2017. A Meta-Analysis on the Price Elasticity of Energy Demand. Energy Policy 102, March, 549--68. Retrieved fromGoogle ScholarCross Ref
- Eugene Litvinov. 2010. Design and operation of the locational marginal prices-based electricity markets. IET Generation, Transmission Distribution 4, 2 (2010), 315--323. Retrieved fromGoogle ScholarCross Ref
- De Liu, Jianqing Chen, and Andrew B. Whinston. 2010. Ex ante information and the design of keyword auctions. Information Systems Research 21, 1 (2010), 133--153. Google ScholarDigital Library
- Claire-Michelle Loock, Thorsten Staake, and Frédéric Thiesse. 2013. Motivating energy-efficient behavior with green IS: An investigation of goal setting and the role of defaults. MIS Quarterly, 37, 4 (2013), 1313--1332. Google ScholarDigital Library
- Naresh K. Malhotra, Sung S. Kim, and James Agarwal. 2004. Internet users’ information privacy concerns (IUIPC): The construct, the scale, and a causal model. Information Systems Research 15, 4 (2004), 336--355. Google ScholarDigital Library
- Ori Marom and Abraham Seidmann. 2011. Using “last-minute” sales for vertical differentiation on the Internet. Decision Support Systems 51 4, (2011), 894--903. Google ScholarDigital Library
- Randolph P. McAfee and John McMillan. 1986. Bidding for contracts: A principal-agent analysis. RAND Journal of Economics 17, 3 (1986), 326--338.Google ScholarCross Ref
- Nigel P. Melville. 2010. Information systems innovation for environmental sustainability. MIS Quarterly 34, 1 (2010), 1--21. Google ScholarDigital Library
- Salman Mohagheghi, James Stoupis, Zhenyuan Wang, Zhao Li, and Hormoz Kazemzadeh. 2010. Demand response architecture: Integration into the distribution management system. In 2010 1st IEEE International Conference on Smart Grid Communications (SmartGridComm’10), 501--506. IEEE Press. Retrieved fromGoogle ScholarCross Ref
- NERC. 2004. Final Report on the August 14, 2003 Blackout in the United States and Canada: Causes and Recommendations. Retrieved from https://reports.energy.gov/B-F-Web-Part1.pdf.Google Scholar
- NIST. 2009. NIST Framework and Roadmap for Smart Grid Interoperability Standards Release 1.0 (Draft). National Institute of Standards and Technology.Google Scholar
- William Novshek and Hugo Sonnenschein. 1982. Fulfilled expectations Cournot duopoly with information acquisition and release. Bell Journal of Economics 13, 1 (1982), 214. Retrieved fromGoogle ScholarCross Ref
- Abdeen Mustafa Omer. 2008. Energy, environment and sustainable development. Renewable and Sustainable Energy Reviews 12, 9 (2008), 2265--2300.Google ScholarCross Ref
- Shmuel S. Oren. 2005. Ensuring generation adequacy in competitive electricity markets. Electricity Deregulation: Choices and Challenges, James M. Griffin and Steven L. Puller (Eds.). 388--414.Google Scholar
- Shmuel S. Oren, Pablo T. Spiller, Pravin Varaiya, and Felix Wu. 1995. Nodal prices and transmission rights: A critical appraisal. Electricity Journal 8, 3 (1995), 24--35.Google ScholarCross Ref
- David Pardoe, Peter Stone, Maytal Saar-Tsechansky, Tayfun Keskin, and Kerem Tomak. 2010. Adaptive auction mechanism design and the incorporation of prior knowledge. INFORMS Journal on Computing 22, 3 (2010), 353--370. Google ScholarDigital Library
- Geoffrey G. Parker and Marshall W. Van Alstyne. 2005. Two-sided network effects: A theory of information product design. Management Science 51 (2005), 1494--1504. Google ScholarDigital Library
- Martin Paschmann and Simon Paulus. 2017. The impact of advanced metering infrastructure on residential electricity consumption - Evidence from California. Working Paper WP 17/08. University of Cologne.Google Scholar
- Markus Peters, Wolfgang Ketter, Maytal Saar-Tsechansky, and John Collins. 2013. A reinforcement learning approach to autonomous decision-making in smart electricity markets. Machine Learning 92, 1 (2013), 5--39. Retrieved from Google ScholarDigital Library
- Danny Pudjianto, Charlotte Ramsay, and Goran Strbac. 2007. Virtual power plant and system integration of distributed energy resources. IET Renewable Power Generation 1, 1 (2007), 10.Google ScholarCross Ref
- Ashwini Rao, Florian Schaub, Norman Sadeh, Alessandro Acquisti, and Ruogu Kang. 2016. Expecting the unexpected: Understanding mismatched privacy expectations online. In Symposium on Usable Privacy and Security (SOUPS’16), 77--96. Google ScholarDigital Library
- Prashant Reddy and Manuela Veloso. 2011. Learned behaviors of multiple autonomous agents in smart grid markets. In Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI’11). Google ScholarDigital Library
- Cynthia Rudin, David Waltz, Roger N. Anderson, Albert Boulanger, Ansaf Salleb-Aouissi, Maggie Chow, Haimonti Dutta, Philip Gross, Bert Huang, Steve Ierome, Delfina Isaac, Arthur Kressner, Rebecca J. Passonneau, Axinia Radeva, and Leon Wu. 2012. Machine learning for the New York City power grid. IEEE Transactions on Pattern Analysis and Machine Intelligence 34, 2 (2012), 328--345. Retrieved from Google ScholarDigital Library
- Cynthia Rudin, Rebecca J. Passonneau, Axinia Radeva, Haimonti Dutta, Steve Ierome, and Delfina Isaac. 2010. A process for predicting manhole events in Manhattan. Machine Learning 80, 1 (2010), 1--31. Retrieved from Google ScholarDigital Library
- Maytal Saar-Tsechansky and Foster Provost. 2007. Decision-centric active learning of binary-outcome models. Information Systems Research 18, 1 (2007), 4--22. Retrieved from Google ScholarDigital Library
- William Samuelson. 1986. Bidding for contracts. Management Science 32, 12 (1986), 1533--1550.Google ScholarDigital Library
- Steffen Schuette, Stefan Scherfke, and Martin Troschel. 2011. Mosaik: A framework for modular simulation of active components in smart grids. In 2011 IEEE 1st International Workshop on Smart Grid Modeling and Simulation (SGMS’11), 55--60. Retrieved fromGoogle ScholarCross Ref
- Stefan Seidel, Jan Recker, and Jan vom Brocke. 2013. Sensemaking and sustainable practicing: Functional affordances of information systems in green transformations. MIS Quarterly 37, 4 (2013), 1275--1299. Google ScholarDigital Library
- Mohammad Shahidehpour, Hatim Yamin, and Zuyi Li. 2002. Market Operations in Electric Power Systems: Forecasting, Scheduling, and Risk Management. Wiley-IEEE Press.Google Scholar
- Weixin Shang, Albert Y. Ha, and Shilu Tong. 2015. Information sharing in a supply chain with a common retailer. Management Science 62, 1 (2015), 245--263.Google Scholar
- Pierluigi Siano. 2014. Demand response and smart grids—A survey. Renewable and Sustainable Energy Reviews 30, (February 2014), 461--478. Retrieved fromGoogle ScholarCross Ref
- Yogesh Simmhan, Vaibhav Agarwal, Saima Aman, Alok Kumbhare, Sreedhar Natarajan, Nikhil Rajguru, Ian Robinson, Samuel Stevens, Wei Yin, Qunzhi Zhou, and Viktor Prasanna. 2012. Adaptive energy forecasting and information diffusion for smart power grids. In IEEE International Scalable Computing Challenge (SCALE’12), 1--4.Google Scholar
- Marcelo G. Simoes, Robin Roche, Elias Kyriakides, Abdellatif Miraoui, Benjamin Blunier, Kerry McBee, Siddharth Suryanarayanan, Phuong Nguyen, and Paulo F. Ribeiro. 2011. Smart-grid technologies and progress in Europe and the USA. In 2011 IEEE Energy Conversion Congress and Exposition (ECCE’11), 383--390. Retrieved from http://ieeexplore.ieee.org.ezp2.lib.umn.edu/xpls/abs_all.jsp?arnumber=6063795.Google Scholar
- Fereidoon P. Sioshansi. 2011. Smart Grid : Integrating Renewable, Distributed 8 Efficient Energy. Academic Press, Waltham, MA.Google Scholar
- Fred Sissine. 2007. Energy Independence and Security Act of 2007: A Summary of Major Provisions. Reports and Issue Briefs. Congressional Research Service. Retrieved from http://oai.dtic.mil/oai/oai?verb=getRecord&metadataPrefix===html&identifier===ADA475228.Google Scholar
- Christina Soh, M. Lynne Markus, and Kim Huat Goh. 2006. Electronic marketplaces and price transparency: Strategy, information technology, and success. MIS Quarterly 30, 3 (2006), 705--723. Google ScholarDigital Library
- Goran Strbac. 2008. Demand side management: Benefits and challenges. Energy Policy 36, 12 (2008), 4419--4426.Google ScholarCross Ref
- Junjie Sun and Leigh Tesfatsion. 2007. Dynamic testing of wholesale power market designs: An open-source agent-based framework. Computational Economics 30, 3 (2007), 291--327. Google ScholarDigital Library
- Leigh Tesfatsion. 2002. Agent-based computational economics: Growing economies from the bottom up. Artificial Life 8, 1 (2002), 55--82. Google ScholarDigital Library
- Verena Tiefenbeck, Lorenz Goette, Kathrin Degen, Vojkan Tasic, Elgar Fleisch, Rafael Lalive, and Thorsten Staake. 2016. Overcoming salience bias: How real-time feedback fosters resource conservation. Management Science 64, 3 (2016). Google ScholarDigital Library
- Konstantina Valogianni and Wolfgang Ketter. 2016. Effective demand response for smart grids: Evidence from a real-world pilot. Decision Support Systems 91 (2016), 48--66. Google ScholarDigital Library
- Perukrishnen Vytelingum, Thomas D. Voice, Sarvapali D. Ramchurn, Alex Rogers, and Nicholas R. Jennings. 2011. Theoretical and practical foundations of large-scale agent-based micro-storage in the smart grid. Journal of Artificial Intelligence Research 42 (2011), 765--813. Google ScholarDigital Library
- Michael Waite, Elliot Cohen, Henri Torbey, Michael Piccirilli, Yu Tian, and Vijay Modi. 2017. Global trends in urban electricity demands for cooling and heating. Energy 127, (May 2017), 786--802. Retrieved fromGoogle Scholar
- Richard T. Watson, Marie-Claude Boudreau, and Adela J. Chen. 2010. Information systems and environmentally sustainable development: energy informatics and new directions for the IS community. Management Information Systems Quarterly 34, 1 (2010), 4. Google ScholarDigital Library
- Anke Weidlich and Daniel Veit. 2008. A critical survey of agent-based wholesale electricity market models. Energy Economics 30, 4 (2008), 1728--1759.Google ScholarCross Ref
- Z. Ye, R. Walling, N. Miller, P. Du, and K. Nelson. 2005. Facility Microgrids. NREL/SR-560-38019. National Renewable Energy Laboratory. Retrieved from http://www.nrel.gov/docs/fy05osti/38019.pdf.Google Scholar
- Kevin Zhu, Kenneth L. Kraemer, Vijay Gurbaxani, and Sean X. Xu. 2006. Migration to open-standard interorganizational systems: Network effects, switching costs, and path dependency. MIS Quarterly 30 (2006), 515--539. Google ScholarDigital Library
Index Terms
- Information Systems for a Smart Electricity Grid: Emerging Challenges and Opportunities
Recommendations
Using information systems to improve energy efficiency: Do smart meters make a difference?
The large-scale generation of electricity is a major contributor to increasing levels of greenhouse gas emissions, putting pressure on the industry to reduce its environmental impacts. Electricity utility companies are looking to two strategies to help ...
An Evaluation of Electric Vehicle Penetration under Demand Response in a Multi-Agent Based Simulation
EPEC '14: Proceedings of the 2014 IEEE Electrical Power and Energy ConferenceThis paper proposes an electric vehicle charging model and various control algorithms that are further incorporated into a multi-agent system [1] to evaluate impacts of electric vehicle penetration on the power system. Electric vehicles have become ...
D2P: Distributed Dynamic Pricing Policyin Smart Grid for PHEVs Management
Future large-scale deployment of plug-in hybrid electric vehicles (PHEVs) will render massive energy demand on the electric grid during peak-hours. We propose an intelligent distributed dynamic pricing (D2P) mechanism for the charging of PHEVs in a smart ...
Comments