Electricity supply chain hybrid long‐term demand forecasting approach based on deep learning—a case study of basic metals industry

Electricity supply chain hybrid long‐term demand forecasting approach based on deep learning—a case study of basic metals industry

Abstract Demand forecasting is a key parameter to achieve optimal supply chain management at different levels. The basic metals industry is one of the most energy‐intensive industries in the electricity supply chain. The impossibility of large‐scale energy storage, reservation constraints, and its h...

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Bibliographic Details
Main Authors: Sepehr Moalem, Roya M. P. Ahari, Ghazanfar Shahgholian, Majid Moazzami, Seyed Mohammad Kazemi
Format: Article
Language:English
Published: Wiley 2023-04-01
Series:The Journal of Engineering
Subjects:
data mining
electricity supply chain
low‐resolution data
long short‐term memory neural network (LSTM)
uncertainty
wavelet transform
Online Access:https://doi.org/10.1049/tje2.12265

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