Correlation analysis of factors affecting wind power based on machine learning and Shapley value
Author:
Affiliation:
1. NARI Group Corporation Co., Ltd (State Grid Electric Power Research Institute Co., Ltd) Nanjing China
2. Beijing KeDong Electric Power Control System Co., Ltd Beijing China
Publisher
Institution of Engineering and Technology (IET)
Subject
General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/esi2.12022
Reference35 articles.
1. Grid Integration Challenges of Wind Energy: A Review
2. Challenges of grid integration of wind power on power system grid integrity: a review;Temitope R.A.;Int. J. Renew. Energy Res,2012
3. Fuzzy unscented transform for uncertainty quantification of correlated wind/PV microgrids: possibilistic–probabilistic power flow based on RBFNNs
4. Two stage forecast engine with feature selection technique and improved meta‐heuristic algorithm for electricity load forecasting;Noradin G.;Energy,2018
5. Impact of Down Spinning Reserve on Operation Reliability of Power Systems
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