Deep Reinforcement Learning Based Unit Commitment Scheduling under Load and Wind Power Uncertainty
Author:
Affiliation:
1. Cornell University, Ithaca, NY, USA
Funder
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Renewable Energy, Sustainability and the Environment
Link
https://ieeexplore.ieee.org/ielam/5165391/10078415/9968131-aam.pdf
Reference36 articles.
1. Sustainable power systems operations under renewable energy induced disjunctive uncertainties via machine learning-based robust optimization
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4. Adaptive Dynamic Programming for Gas-Power Network Constrained Unit Commitment to Accommodate Renewable Energy With Combined-Cycle Units
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