Dual-dimension Time-GGAN data augmentation method for improving the performance of deep learning models for PV power forecasting
Solar energy has intermittency and volatility, which poses a serious challenge to the stable and safe operation of the power grid. Accurate photovoltaic power prediction is one of the key technologies to solve this problem. Due to the larger volume of data collected by photovoltaic systems, deep lea...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235248472300968X |