A machine learning technique for optimizing load demand prediction within air conditioning systems utilizing GRU/IASO model

A machine learning technique for optimizing load demand prediction within air conditioning systems utilizing GRU/IASO model

Abstract Air conditioning systems are widely used to provide thermal comfort in hot and humid regions, but they also consume a large amount of energy. Therefore, accurate and reliable load demand forecasting is essential for energy management and optimization in air conditioning systems. Within the...

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Bibliographic Details
Main Authors: Meng He, Hui Wang, Myo Thwin
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Load demand forecasting
Air conditioning systems
Gated recurrent unit
Improved Alpine Skiing optimization
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-87776-0
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https://doi.org/10.1038/s41598-025-87776-0

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