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

Title
A comparative study of the data-driven day-ahead hourly provincial load forecasting methods: From classical data mining to deep learning
Authors
Keywords
-
Journal
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 119, Issue -, Pages 109632
Publisher
Elsevier BV
Online
2019-12-09
DOI
10.1016/j.rser.2019.109632

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