A Comparative Study of AutoML Approaches for Short-Term Electric Load Forecasting

A Comparative Study of AutoML Approaches for Short-Term Electric Load Forecasting

Deep learning is increasingly used in short-term load forecasting. However, deep learning models are difficult to train, and adjusting training hyper-parameters takes time and effort. Automated machine learning (AutoML) can reduce human participation in machine learning process and improve the effic...

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Bibliographic Details
Main Authors:	Meng Zhaorui, Xie Xiaozhu, Xie Yanqi, Sun Jinhua
Format:	Article
Language:	English
Published:	EDP Sciences 2022-01-01
Series:	E3S Web of Conferences
Subjects:	automated machine learning load forecasting deep learning
Online Access:	https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/25/e3sconf_gesd2022_02045.pdf

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