Anomalies and major cluster-based grouping of electricity users for improving the forecasting performance of deep learning models
Analyzing and understanding the electricity consumption of end users, especially the anomalies (outliers), are vital for the planning, operation, and management of the power grid. It will help separate the group of users with unpredictable consumption behavior and then develop and train specialized...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2023-11-01
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Series: | Frontiers in Energy Research |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1284076/full |