Long-Term Electricity Demand Forecasting in the Steel Complex Micro-Grid Electricity Supply Chain—A Coupled Approach

Long-Term Electricity Demand Forecasting in the Steel Complex Micro-Grid Electricity Supply Chain—A Coupled Approach

Demand forecasting produces valuable information for optimal supply chain management. The basic metals industry is the most energy-intensive industries in the electricity supply chain. There are some differences between this chain and other supply chains including the impossibility of large-scale en...

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Bibliographic Details
Main Authors: Sepehr Moalem, Roya M. Ahari, Ghazanfar Shahgholian, Majid Moazzami, Seyed Mohammad Kazemi
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
electricity supply chain
long short-term memory neural network (LSTM)
hyper-parameter
ELATLBO
wavelet transform
micro-grid
Online Access:https://www.mdpi.com/1996-1073/15/21/7972

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