Leveraging Feature Sets and Machine Learning for Enhanced Energy Load Prediction: A Comparative Analysis

Leveraging Feature Sets and Machine Learning for Enhanced Energy Load Prediction: A Comparative Analysis

Accurate cooling consumption forecasts are crucial for optimizing energy management, storage, and overall efficiency in interconnected HVAC systems. Weather conditions, building characteristics, and operational parameters significantly impact prediction accuracy. Since meteorological conditions high...

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Bibliographic Details
Main Authors:	Fernando Pedro Silva Almeida, Mauro Castelli, Nadine Côrte-Real
Format:	Article
Language:	English
Published:	Ital Publication 2024-12-01
Series:	Emerging Science Journal
Subjects:	cooling loads machine learning deep learning ensemble learning hvac systems.
Online Access:	https://ijournalse.org/index.php/ESJ/article/view/2563
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