Uncertainty reduction in power forecasting of virtual power plant: From day-ahead to balancing markets

已完结 10 由 Danta 发布于 2025/10/14 11:10:19

DOI:10.1016/j.renene.2024.121875
作者：Reza Nadimi, Mika Goto
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：Adjusting prediction data before bidding is a straightforward and cost-effective method to reduce uncertainty and imbalance between bidding data and real-time power supply. To avoid profit l

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