An electrical load forecasting model based on a novel closed loop neural networks and interaction gain feature selection

An electrical load forecasting model based on a novel closed loop neural networks and interaction gain feature selection

Accurate short-term load forecasting, particularly for normal and peak load values, plays a critical role in ensuring the reliable and efficient operation of modern power systems. To achieve enhanced prediction accuracy, this study introduces a novel closed-loop neural network framework designed for...

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Bibliographic Details
Main Authors: Gholamreza Memarzadeh, Faezeh Amirteimoury, Hossein Noori, Farshid Keynia
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Results in Engineering
Subjects:
Interval forecasting
Short-term load forecasting
Wavelet transform
Mutual information-interaction gain
Neural networks
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025018717
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http://www.sciencedirect.com/science/article/pii/S2590123025018717

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