Investigating Black-Box Model for Wind Power Forecasting Using Local Interpretable Model-Agnostic Explanations Algorithm

Wind power forecasting (WPF) is important for safe, stable, and reliable integration of new energy technologies into power systems. Machine learning (ML) algorithms have recently attracted increasing attention in the field of WPF. However, opaque decisions and lack of trustworthiness of black-box mo...

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Bibliographic Details

Published in:	CSEE Journal of Power and Energy Systems
Main Authors:	Mao Yang, Chuanyu Xu, Yuying Bai, Miaomiao Ma, Xin Su
Format:	Article
Language:	English
Published:	China electric power research institute 2025-01-01
Subjects:	Black-box model correlation analysis feature trust index local interpretability local interpretable model-agnostic explanations (LIME) wind power forecasting
Online Access:	https://ieeexplore.ieee.org/document/10026216/