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Impacts of Responsive Load in PJM: Load Shifting and Real Time Pricing

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Cited by:

  1. Carlo Fezzi & Derek Bunn, 2010. "Structural Analysis of Electricity Demand and Supply Interactions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(6), pages 827-856, December.
  2. Katz, Jonas & Andersen, Frits Møller & Morthorst, Poul Erik, 2016. "Load-shift incentives for household demand response: Evaluation of hourly dynamic pricing and rebate schemes in a wind-based electricity system," Energy, Elsevier, vol. 115(P3), pages 1602-1616.
  3. Salah, Florian & Ilg, Jens P. & Flath, Christoph M. & Basse, Hauke & Dinther, Clemens van, 2015. "Impact of electric vehicles on distribution substations: A Swiss case study," Applied Energy, Elsevier, vol. 137(C), pages 88-96.
  4. Blumsack, Seth & Fernandez, Alisha, 2012. "Ready or not, here comes the smart grid!," Energy, Elsevier, vol. 37(1), pages 61-68.
  5. Shira Horowitz & Lester Lave, 2014. "Equity in Residential Electricity Pricing," The Energy Journal, , vol. 35(2), pages 1-24, April.
  6. Joshua M. Pearce & Nelson Sommerfeldt, 2021. "Economics of Grid-Tied Solar Photovoltaic Systems Coupled to Heat Pumps: The Case of Northern Climates of the U.S. and Canada," Energies, MDPI, vol. 14(4), pages 1-17, February.
  7. Bigerna, Simona & Hagspiel, Verena & Kort, Peter M. & Wen, Xingang, 2023. "How damaging are environmental policy targets in terms of welfare?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 354-372.
  8. Ketter, W. & Collins, J. & Reddy, P. & Flath, C., 2011. "The Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2011-011-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  9. Krishnamurti, Tamar & Schwartz, Daniel & Davis, Alexander & Fischhoff, Baruch & de Bruin, Wändi Bruine & Lave, Lester & Wang, Jack, 2012. "Preparing for smart grid technologies: A behavioral decision research approach to understanding consumer expectations about smart meters," Energy Policy, Elsevier, vol. 41(C), pages 790-797.
  10. Kun Li & Joseph D. Cursio & Yunchuan Sun, 2018. "Principal Component Analysis of Price Fluctuation in the Smart Grid Electricity Market," Sustainability, MDPI, vol. 10(11), pages 1-16, November.
  11. Donald N. Dewees, 2010. "The Price Isn't Right: The Need for Reform in Consumer Electricity Pricing," C.D. Howe Institute Backgrounder, C.D. Howe Institute, issue 124, January.
  12. Konstantina Valogianni & Wolfgang Ketter & John Collins & Dmitry Zhdanov, 2020. "Sustainable Electric Vehicle Charging using Adaptive Pricing," Production and Operations Management, Production and Operations Management Society, vol. 29(6), pages 1550-1572, June.
  13. Ketter, W. & Collins, J. & Reddy, P. & Flath, C. & de Weerdt, M.M., 2011. "The Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2011-027-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  14. Li, Kun & Cursio, Joseph D. & Jiang, Mengfei & Liang, Xi, 2019. "The significance of calendar effects in the electricity market," Applied Energy, Elsevier, vol. 235(C), pages 487-494.
  15. Haghnevis, Moeed & Askin, Ronald G. & Armbruster, Dieter, 2016. "An agent-based modeling optimization approach for understanding behavior of engineered complex adaptive systems," Socio-Economic Planning Sciences, Elsevier, vol. 56(C), pages 67-87.
  16. Jacob Mays & Diego Klabjan, 2017. "Optimization of Time-Varying Electricity Rates," The Energy Journal, , vol. 38(5), pages 67-92, September.
  17. Nabavitabatabayi, Mohammadreza & Haghighat, Fariborz & Moreau, Alain & Sra, Paul, 2014. "Numerical analysis of a thermally enhanced domestic hot water tank," Applied Energy, Elsevier, vol. 129(C), pages 253-260.
  18. Hannah Villeneuve & Ahmed Abdeen & Maya Papineau & Sharane Simon & Cynthia Cruickshank & William O'Brien, 2020. "New insights on the energy impacts of telework," Carleton Economic Papers 20-20, Carleton University, Department of Economics.
  19. Alagoz, B.B. & Kaygusuz, A. & Karabiber, A., 2012. "A user-mode distributed energy management architecture for smart grid applications," Energy, Elsevier, vol. 44(1), pages 167-177.
  20. Block, C. & Collins, J. & Ketter, W. & Weinhardt, C., 2009. "A Multi-Agent Energy Trading Competition," ERIM Report Series Research in Management ERS-2009-054-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  21. Chou, Jui-Sheng & Tran, Duc-Son, 2018. "Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders," Energy, Elsevier, vol. 165(PB), pages 709-726.
  22. Jacob Mays & Diego Klabjan, 2017. "Optimization of Time-Varying Electricity Rates," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
  23. Galo, Joaquim J.M. & Macedo, Maria N.Q. & Almeida, Luiz A.L. & Lima, Antonio C.C., 2014. "Criteria for smart grid deployment in Brazil by applying the Delphi method," Energy, Elsevier, vol. 70(C), pages 605-611.
  24. Greening, Lorna A., 2010. "Demand response resources: Who is responsible for implementation in a deregulated market?," Energy, Elsevier, vol. 35(4), pages 1518-1525.
  25. Tsitsiklis, John N. & Xu, Yunjian, 2015. "Pricing of fluctuations in electricity markets," European Journal of Operational Research, Elsevier, vol. 246(1), pages 199-208.
  26. Uddin, Moslem & Romlie, Mohd Fakhizan & Abdullah, Mohd Faris & Abd Halim, Syahirah & Abu Bakar, Ab Halim & Chia Kwang, Tan, 2018. "A review on peak load shaving strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3323-3332.
  27. Vardakas, John S. & Zorba, Nizar & Verikoukis, Christos V., 2014. "Scheduling policies for two-state smart-home appliances in dynamic electricity pricing environments," Energy, Elsevier, vol. 69(C), pages 455-469.
  28. Sahraei-Ardakani, Mostafa & Blumsack, Seth & Kleit, Andrew, 2012. "Distributional impacts of state-level energy efficiency policies in regional electricity markets," Energy Policy, Elsevier, vol. 49(C), pages 365-372.
  29. Daniel Adelman & Canan Uçkun, 2019. "Dynamic Electricity Pricing to Smart Homes," Operations Research, INFORMS, vol. 67(6), pages 1520-1542, November.
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