A Deep Learning Framework for Net Load Forecasting With Unsupervised Behind-the-Meter Disaggregated Data
Recently, distributed photovoltaic (PV) generation has increased significantly, leading to a high penetration of behind-the-meter (BTM) solar generation systems. In this work, we aim to improve net load forecasting by disaggregating BTM components to provide better representation. For the disaggrega...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10589647/ |