A risk-aware bidding model for virtual power plants:Integrating renewable energy forecasting and carbon market strategies

Singh, Kumari Nutan, Goswami, Arup Kumar, Chudhury, Nalin Behari Dev et al. (2 more authors) (2025) A risk-aware bidding model for virtual power plants:Integrating renewable energy forecasting and carbon market strategies. Energy Reports. pp. 1222-1239. ISSN: 2352-4847

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Item Type: Article
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Publisher Copyright: © 2025 The Authors

Keywords: And Uplift payment,Bidding strategy,Carbon credit,Electricity Market (EM),Extreme Gradient Boosting algorithm (XGBoost) Algorithm,Renewable Energy Resources (RES),Virtual Power Plant (VPP),White Shark Optimizer (WSO) Algorithm
Dates:
  • Accepted: 15 July 2025
  • Published (online): 24 July 2025
  • Published: 1 December 2025
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 06 Aug 2025 08:40
Last Modified: 06 Aug 2025 08:40
Published Version: https://doi.org/10.1016/j.egyr.2025.07.032
Status: Published online
Refereed: Yes
Identification Number: 10.1016/j.egyr.2025.07.032
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Description: A risk-aware bidding model for virtual power plants: Integrating renewable energy forecasting and carbon market strategies

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