Heterogeneous Ensemble Learning to Solve Sub-Hourly Unit Commitment
Author:
Affiliation:
1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology,Wuhan,China
2. Electric Power Research Institute, State Grid Jiangsu Electric Power Co., Ltd.,Nanjing,China
Funder
State Grid Corporation Science and Technology Project
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10346233/10346246/10346365.pdf?arnumber=10346365
Reference18 articles.
1. A novel optimization approach for sub-hourly unit commitment with large numbers of units and virtual transactions
2. Machine learning approaches to the unit commitment problem: Current trends, emerging challenges, and new strategies
3. The Impact of the Injection of Wind Power Plant on the Steady State Condition and the Dynamics of SULSELBAR Power System
4. Evaluating the impact of sub-hourly unit commitment method on spinning reserve in presence of intermittent generators
5. A Decomposition and Coordination Approach for Large Sub-hourly Unit Commitment
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