Expert knowledge data-driven based actor–critic reinforcement learning framework to solve computationally expensive unit commitment problems with uncertain wind energy

With the expansion of power grid, unaffordable computational cost and time will pose serious challenges of time-efficient scheduling in unit commitment problem (UCP). However, existing optimization methods, i.e., mathematical programming methods and meta-heuristic algorithms, are powerless and time-...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Huijun Liang, Chenhao Lin, Aokang Pang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2024-08-01
Schriftenreihe:	International Journal of Electrical Power & Energy Systems
Schlagworte:	Unit commitment Reinforcement learning Knowledge data-driven Surrogate model Meta-heuristic algorithm
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S0142061524002540
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!