A Hybrid machine learning–statistical based method for short-term energy consumption prediction in residential buildings

A Hybrid machine learning–statistical based method for short-term energy consumption prediction in residential buildings

Accurate short-term load forecasting is essential for modern power systems, enabling efficient energy management and supporting grid reliability amid increasing demand and variable weather conditions. This study addresses the challenge of forecasting household electricity consumption by proposing SS...

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Bibliographic Details
Main Authors: Kamran Hassanpouri Baesmat, Emma E. Regentova, Yahia Baghzouz
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Energy and AI
Subjects:
Machine learning
Electrical load forecasting
Statistical analysis
Energy Consumption
Power Grid
Artificial Intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546825000849
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