A comparative study of the data-driven day-ahead hourly...

Renewable and Sustainable Energy Reviews 2020 / 03 Vol. 119

A comparative study of the data-driven day-ahead hourly provincial load forecasting methods: From classical data mining to deep learning

Liu, Xin, Zhang, Zijun, Song, Zhe
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Volume:
119
Journal:
Renewable and Sustainable Energy Reviews
DOI:
10.1016/j.rser.2019.109632
Date:
March, 2020
File:
PDF, 2.49 MB
2020
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