Short‐term prediction of behind‐the‐meter PV power based on attention‐LSTM and transfer learning
Abstract Distributed photovoltaic (PV) systems often lack adequate measurements due to cost considerations, which makes it very difficult to predict them accurately. Here, an approach is proposed for behind‐the‐meter (BTM) PV power prediction using attention‐LSTM neural network and transfer learning...
Main Authors: | Jinjiang Zhang, Liqing Hong, Shamsuddeen Nyako Ibrahim, Yuanru He |
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Format: | Article |
Language: | English |
Published: |
Wiley
2024-02-01
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Series: | IET Renewable Power Generation |
Subjects: | |
Online Access: | https://doi.org/10.1049/rpg2.12829 |
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