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On the Representation of Demand-Side Management in Power System Models

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  1. Alexander Kies & Bruno U. Schyska & Lueder Von Bremen, 2016. "The Demand Side Management Potential to Balance a Highly Renewable European Power System," Energies, MDPI, vol. 9(11), pages 1-14, November.
  2. McPherson, Madeleine & Stoll, Brady, 2020. "Demand response for variable renewable energy integration: A proposed approach and its impacts," Energy, Elsevier, vol. 197(C).
  3. Gerbaulet, Clemens & von Hirschhausen, Christian & Kemfert, Claudia & Lorenz, Casimir & Oei, Pao-Yu, 2019. "European electricity sector decarbonization under different levels of foresight," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 141, pages 973-987.
  4. Gils, Hans Christian & Gardian, Hedda & Kittel, Martin & Schill, Wolf-Peter & Zerrahn, Alexander & Murmann, Alexander & Launer, Jann & Fehler, Alexander & Gaumnitz, Felix & van Ouwerkerk, Jonas & Bußa, 2022. "Modeling flexibility in energy systems — comparison of power sector models based on simplified test cases," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
  5. Héctor Marañón-Ledesma & Asgeir Tomasgard, 2019. "Analyzing Demand Response in a Dynamic Capacity Expansion Model for the European Power Market," Energies, MDPI, vol. 12(15), pages 1-24, August.
  6. Jacques Després, 2015. "Development of a dispatch model of the European power system for coupling with a long-term foresight energy model," Working Papers hal-01245554, HAL.
  7. Mohammadi, Neda & Taylor, John E., 2017. "Urban infrastructure-mobility energy flux," Energy, Elsevier, vol. 140(P1), pages 716-728.
  8. Michael Pahle, Wolf-Peter Schill, Christian Gambardella, and Oliver Tietjen, 2016. "Renewable Energy Support, Negative Prices, and Real-time Pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Sustainab).
  9. Li, Yuxin & Wang, Jiangjiang & Zhou, Yuan & Wei, Changqi & Guan, Zhimin & Chen, Haiyue, 2023. "Multi-dimension day-ahead scheduling optimization of a community-scale solar-driven CCHP system with demand-side management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
  10. Scheller, Fabian & Burgenmeister, Balthasar & Kondziella, Hendrik & Kühne, Stefan & Reichelt, David G. & Bruckner, Thomas, 2018. "Towards integrated multi-modal municipal energy systems: An actor-oriented optimization approach," Applied Energy, Elsevier, vol. 228(C), pages 2009-2023.
  11. Zerrahn, Alexander & Schill, Wolf-Peter, 2017. "Long-run power storage requirements for high shares of renewables: review and a new model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1518-1534.
  12. Zhao, Ning & You, Fengqi, 2020. "Can renewable generation, energy storage and energy efficient technologies enable carbon neutral energy transition?," Applied Energy, Elsevier, vol. 279(C).
  13. Mier, Mathias & Weissbart, Christoph, 2020. "Power markets in transition: Decarbonization, energy efficiency, and short-term demand response," Energy Economics, Elsevier, vol. 86(C).
  14. Ellabban, Omar & Abu-Rub, Haitham, 2016. "Smart grid customers' acceptance and engagement: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1285-1298.
  15. Nolan, Sheila & Neu, Olivier & O’Malley, Mark, 2017. "Capacity value estimation of a load-shifting resource using a coupled building and power system model," Applied Energy, Elsevier, vol. 192(C), pages 71-82.
  16. Marañón-Ledesma, Hector & Tomasgard, Asgeir, 2019. "Long-Term Electricity Investments Accounting for Demand and Supply Side Flexibility," MPRA Paper 93341, University Library of Munich, Germany.
  17. Alice Di Bella & Massimo Tavoni, 2022. "Demand-side policies for power generation in response to the energy crisis: a model analysis for Italy," Papers 2212.06744, arXiv.org.
  18. Frischmuth, Felix & Härtel, Philipp, 2022. "Hydrogen sourcing strategies and cross-sectoral flexibility trade-offs in net-neutral energy scenarios for Europe," Energy, Elsevier, vol. 238(PB).
  19. Rinaldi, Arthur & Soini, Martin Christoph & Streicher, Kai & Patel, Martin K. & Parra, David, 2021. "Decarbonising heat with optimal PV and storage investments: A detailed sector coupling modelling framework with flexible heat pump operation," Applied Energy, Elsevier, vol. 282(PB).
  20. Fodstad, Marte & Crespo del Granado, Pedro & Hellemo, Lars & Knudsen, Brage Rugstad & Pisciella, Paolo & Silvast, Antti & Bordin, Chiara & Schmidt, Sarah & Straus, Julian, 2022. "Next frontiers in energy system modelling: A review on challenges and the state of the art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
  21. Scheller, Fabian & Bruckner, Thomas, 2019. "Energy system optimization at the municipal level: An analysis of modeling approaches and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 444-461.
  22. Ahmad Murtaza Ershad & Robert Pietzcker & Falko Ueckerdt & Gunnar Luderer, 2020. "Managing Power Demand from Air Conditioning Benefits Solar PV in India Scenarios for 2040," Energies, MDPI, vol. 13(9), pages 1-19, May.
  23. Kachirayil, Febin & Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2022. "Reviewing local and integrated energy system models: insights into flexibility and robustness challenges," Applied Energy, Elsevier, vol. 324(C).
  24. Michael Pahle, Wolf-Peter Schill, Christian Gambardella, and Oliver Tietjen, 2016. "Renewable Energy Support, Negative Prices, and Real-time Pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Sustainab).
  25. Schyska, Bruno U. & Kies, Alexander, 2020. "How regional differences in cost of capital influence the optimal design of power systems," Applied Energy, Elsevier, vol. 262(C).
  26. Ambrosius, Mirjam & Grimm, Veronika & Sölch, Christian & Zöttl, Gregor, 2018. "Investment incentives for flexible demand options under different market designs," Energy Policy, Elsevier, vol. 118(C), pages 372-389.
  27. Dehnavi, Ehsan & Abdi, Hamdi, 2016. "Optimal pricing in time of use demand response by integrating with dynamic economic dispatch problem," Energy, Elsevier, vol. 109(C), pages 1086-1094.
  28. Clemens Gerbaulet & Casimir Lorenz, 2017. "dynELMOD: A Dynamic Investment and Dispatch Model for the Future European Electricity Market," Data Documentation 88, DIW Berlin, German Institute for Economic Research.
  29. Farzamkia, Saleh & Ranjbar, Hossein & Hatami, Alireza & Iman-Eini, Hossein, 2016. "A novel PSO (Particle Swarm Optimization)-based approach for optimal schedule of refrigerators using experimental models," Energy, Elsevier, vol. 107(C), pages 707-715.
  30. Morales-España, Germán & Martínez-Gordón, Rafael & Sijm, Jos, 2022. "Classifying and modelling demand response in power systems," Energy, Elsevier, vol. 242(C).
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