Novel deep supervised ML models with feature selection approach for large-scale utilities and buildings short and medium-term load requirement forecasts

Title
Novel deep supervised ML models with feature selection approach for large-scale utilities and buildings short and medium-term load requirement forecasts
Authors
Keywords
Deep supervised learning models, Short & medium-term forecasting, Utilities and building load, Time series, Multiple feature selection
Journal
ENERGY
Volume 209, Issue -, Pages 118477
Publisher
Elsevier BV
Online
2020-07-31
DOI
10.1016/j.energy.2020.118477

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