Improving the criteria of electricity consumptionforecasting in petrochemical industrial units based ondeep learning

Improving the criteria of electricity consumptionforecasting in petrochemical industrial units based ondeep learning

Accurate forecasting of electricity consumption in petrochemical industrial units is essential for optimizing energy management and ensuring operational efficiency. This study presents a novel deep learning framework that integrates advanced feature engineering and Long Short-Term Memory (LSTM) net...

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Bibliographic Details
Main Authors:	Ehsan Tavakoli Garmaserh, Mehran Emadi
Format:	Article
Language:	English
Published:	OICC Press 2025-06-01
Series:	Majlesi Journal of Electrical Engineering
Subjects:	Electricity Consumption Forecasting Petrochemical Industrial Units Deep Learning Long Short-Term Memory
Online Access:	https://oiccpress.com/mjee/article/view/16937
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