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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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-09-01
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Series: | Energy and AI |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666546825000849 |
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