Short-Term Firm-Level Energy-Consumption Forecasting for Energy-Intensive Manufacturing: A Comparison of Machine Learning and Deep Learning Models

To minimise environmental impact, to avoid regulatory penalties, and to improve competitiveness, energy-intensive manufacturing firms require accurate forecasts of their energy consumption so that precautionary and mitigation measures can be taken. Deep learning is widely touted as a superior analyt...

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Bibliographic Details

Main Authors:	Andrea Maria N. C. Ribeiro, Pedro Rafael X. do Carmo, Iago Richard Rodrigues, Djamel Sadok, Theo Lynn, Patricia Takako Endo
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2020-10-01
Series:	Algorithms
Subjects:	short-term load forecasting STLF deep learning RNN LSTM GRU
Online Access:	https://www.mdpi.com/1999-4893/13/11/274
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