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 models for WPF could cause scheduling risks.This study