Thermal Load Predictions in Low-Energy Buildings: A Hybrid AI-Based Approach Integrating Integral Feature Selection and Machine Learning Models

Thermal Load Predictions in Low-Energy Buildings: A Hybrid AI-Based Approach Integrating Integral Feature Selection and Machine Learning Models

A hybrid Artificial Intelligence (AI) framework centered on metamodeling, integrating simulation data with hybrid data-driven techniques, was implemented to enhance the predictive accuracy and optimization of thermal load projections in three distinct climates in Morocco. Initially, 13 machine learn...

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Bibliographic Details
Main Authors: Youness El Mghouchi, Mihaela Tinca Udristioiu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
building energy optimization
low-energy buildings
metamodeling
artificial intelligence
integral feature selection
Morocco
Online Access:https://www.mdpi.com/2076-3417/15/11/6348
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