A Review on the Prediction of Energy Consumption in the Industry Sector Based on Machine Learning Approaches-Reference-Cited by-同舟云学术

A Review on the Prediction of Energy Consumption in the Industry Sector Based on Machine Learning Approaches

Published:2021-12-06 Issue: Volume: Page:
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Container-title:2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT)
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Author:

Bahij Mouad¹,Labbadi Moussa²,Cherkaoui Mohamed¹,Chatri Chakib¹,Elkhatiri Ali¹,Elouerghi Achraf³

Affiliation:

1. Engineering for Smart and Sustainable Systems Research Center Mohammadia School of Engineers, Mohammed V University,Rabat,Morocco

2. LAMIH, CNRS, UMR-8201 INSA HdF UPHF,Valenciennes,France,59313

3. E2SN, Research Center in Sciences and Technologies of Engineering and Health National, School of Arts and Crafts, Mohammed V University,Rabat,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9668310/9668333/09668559.pdf?arnumber=9668559

Reference25 articles.

1. The changing science of machine learning

2. A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry

3. Short-term industrial reactive power forecasting

4. A Comparative Analysis of Machine Learning Approaches for Short-/Long-Term Electricity Load Forecasting in Cyprus

5. Upgrade of an artificial neural network prediction method for electrical consumption forecasting using an hourly temperature curve model

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