A novel decision support system for enhancing long-term forecast accuracy in virtual power plants using bidirectional long short-term memory networks

已完结 10 由 Danta 发布于 2025/10/14 11:17:44

DOI:10.1016/j.apenergy.2025.125273
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：Accurate forecasting of power generation is a serious challenge of virtual power plant (VPP) in day ahead (DA) market because of the volatility and uncertainty of renewables. The recursive p

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