Investigating Black-box Model for Wind Power Forecasting Using Local Interpretable Model-agnostic Explanations AlgorithmOA
Investigating Black-box Model for Wind Power Forecasting Using Local Interpretable Model-agnostic Explanations Algorithm
Mao Yang;Chuanyu Xu;Yuying Bai;Miaomiao Ma;Xin Su
Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Ministry of Education,Northeast Electric Power University,Jilin 132012,ChinaKey Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Ministry of Education,Northeast Electric Power University,Jilin 132012,ChinaDaqing Power Industry Bureau,Daqing 163000,ChinaKey Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Ministry of Education,Northeast Electric Power University,Jilin 132012,ChinaKey Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Ministry of Education,Northeast Electric Power University,Jilin 132012,China
Black-box modelcorrelation analysisfeature trust indexlocal interpretabilitylocal interpretable model-agnostic explanations(LIME)wind power forecasting
Black-box modelcorrelation analysisfeature trust indexlocal interpretabilitylocal interpretable model-agnostic explanations(LIME)wind power forecasting
《中国电机工程学会电力与能源系统学报（英文版）》 2025 (1)
227-242,16
This work was supported by the National Key R&D Program of China(Technology and application of wind power/photovoltaic power prediction for promoting renewable energy consumption)under Grant(2018YFB0904200).
评论