User behaviour models to forecast electricity consumption of residential customers based on smart metering data
This paper presents a novel approach to forecast day-ahead electricity consumption for residential households where highly irregular human behaviour plays a significant role. The methodology requires data from fiscal smart meters, which makes it applicable to real scenarios where personal data gathe...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-11-01
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Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722005078 |