Research on traffic energy scheduling based on photovoltaic forecasting using stacked ensemble learning

In the process of traffic energy scheduling, the proportion of renewable energy utilization is gradually increasing, and accurate photovoltaic (PV) power generation forecasting is a prerequisite for the safe and stable integration of high proportions of PV into the power grid. However, existing mach...

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Principais autores:	Hao Wu, Biao Wang, Mingbo Niu
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2026-02-01
Serija:	International Journal of Electrical Power & Energy Systems
Teme:	Transportation energy scheduling Renewable energy Photovoltaic forecasting Stacked ensemble algorithm Improved whale optimization algorithm
Online dostop:	http://www.sciencedirect.com/science/article/pii/S0142061525010865
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