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

Integrating renewable energy resources (RES) into the energy market through a virtual power plant (VPP) framework is an effective strategy for reducing carbon emissions while enhancing system efficiency, reliability, and cost-effectiveness. However, RES-based power generation is inherently uncertain...

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Vydané v:	Energy reports Ročník 14; s. 1222 - 1239
Hlavní autori:	Singh, Kumari Nutan, Goswami, Arup Kumar, Chudhury, Nalin Behari Dev, Cali, Umit, Ustun, Taha Selim
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2025
Predmet:	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 White Shark Optimizer (WSO) Algorithm Extreme Gradient Boosting algorithm (XGBoost) Algorithm Virtual Power Plant (VPP) Electricity Market (EM) Carbon credit Renewable Energy Resources (RES) And Uplift payment Bidding strategy
ISSN:	2352-4847, 2352-4847
On-line prístup:	Získať plný text
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