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Hybrid BRR–MLP–CatBoost model with interpretable approaches for predicting industrial energy consumption: a case study of South Africa, Egypt, and Morocco
Domain:
environment and energy
Record type:
model
Creator:
Abd
Ike
Ahm
Abd
+1
Publisher:
Spr
Host:
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doi.org
Licenses
https://creativecommons.org/licenses/by-nc-nd/4.0
https://creativecommons.org/licenses/by-nc-nd/4.0
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Interpretable Machine Learning for Predicting Industrial Energy Consumption: A Case Study of South Africa, Egypt, and Morocco
Interpretable Machine Learning for Predicting Industrial Energy Consumption: A Case Study of South Africa, Egypt, and Morocco