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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-...

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Principais autores: Huijun Liang, Chenhao Lin, Aokang Pang
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2024-08-01
Serier:International Journal of Electrical Power & Energy Systems
Fag:
Unit commitment
Reinforcement learning
Knowledge data-driven
Surrogate model
Meta-heuristic algorithm
Online adgang:http://www.sciencedirect.com/science/article/pii/S0142061524002540
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