The Methods of Assessing the Efficiency of a Virtual Power Plant—Case Study
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- Renar, Jože & Tomšič, Miha, 1992. "Optimal electric power conservation investments using utility avoided-costs," Energy, Elsevier, vol. 17(5), pages 499-508.
- Nowotarski, Jakub & Weron, Rafał, 2018.
"Recent advances in electricity price forecasting: A review of probabilistic forecasting,"
Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1548-1568.
- Jakub Nowotarski & Rafal Weron, 2016. "Recent advances in electricity price forecasting: A review of probabilistic forecasting," HSC Research Reports HSC/16/07, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
- Danielsen, Albert L. & Gupta, Nainish K. & Klein, Peter G., 1999. "Contracts and the Institutional Environment for Electricity Reform," The Electricity Journal, Elsevier, vol. 12(10), pages 51-60, December.
- Zhu, Xingyi & Zhan, Xiangyan & Liang, Hao & Zheng, Xuyue & Qiu, Yuwei & Lin, Jian & Chen, Jincan & Meng, Chao & Zhao, Yingru, 2020. "The optimal design and operation strategy of renewable energy-CCHP coupled system applied in five building objects," Renewable Energy, Elsevier, vol. 146(C), pages 2700-2715.
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Keywords
virtual power plant; profitability; economic efficiency; investment; RES; avoided costs; heuristic methods; management;All these keywords.
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