Forecasting Electricity Demand by Neural Networks and Definition of Inputs by Multi-Criteria Analysis

Forecasting Electricity Demand by Neural Networks and Definition of Inputs by Multi-Criteria Analysis

The planning of efficient policies based on forecasting electricity demand is essential to guarantee the continuity of energy supply for consumers. Some techniques for forecasting electricity demand have used specific procedures to define input variables, which can be particular to each case study....

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Bibliographic Details
Main Authors: Carolina Deina, João Lucas Ferreira dos Santos, Lucas Henrique Biuk, Mauro Lizot, Attilio Converti, Hugo Valadares Siqueira, Flavio Trojan
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
electricity demand
multi-criteria forecasting model
dependent variable
artificial neural networks
forecasting models
Online Access:https://www.mdpi.com/1996-1073/16/4/1712

Internet

https://www.mdpi.com/1996-1073/16/4/1712

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