Model-based deep reinforcement learning for wind energy bidding

Manassakan Sanayha; Peerapon Vateekul

doi:10.1016/j.ijepes.2021.107625

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Model-based deep reinforcement learning for wind energy bidding

Manassakan Sanayha Peerapon Vateekul

Year: 2021 Journal: International Journal of Electrical Power & Energy Systems Vol: 136 Pages: 107625-107625 Publisher: Elsevier BV

DOI: 10.1016/j.ijepes.2021.107625

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Keywords:

Reinforcement learning Bidding Wind power Computer science Artificial intelligence Reinforcement Machine learning Engineering Economics Microeconomics Electrical engineering Structural engineering

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Topics

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Electric Power System Optimization

Physical Sciences → Engineering → Electrical and Electronic Engineering

Wind Energy Research and Development

Physical Sciences → Engineering → Aerospace Engineering

Model-based deep reinforcement learning for wind energy bidding

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Citation History

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