Energy consumption prediction for households in a society with an ageing population
Social aging significantly impacts household energy consumption patterns and demand, particularly in megacities like Shanghai. This study addresses the gap in understanding high-frequency impacts of aging on energy use by employing advanced machine learning techniques. Using Gaussian Mixture Models...
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Main Authors: | Yan Zou, Chen Wang, Hina Najam, Abdelmohsen A. Nassani, Gozal Djuraeva, David Oscar |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
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Series: | Energy Strategy Reviews |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2211467X24003316 |
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