Short‐term prediction of behind‐the‐meter PV power based on attention‐LSTM and transfer learning

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...

Full description

Bibliographic Details
Main Authors: Jinjiang Zhang, Liqing Hong, Shamsuddeen Nyako Ibrahim, Yuanru He
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:IET Renewable Power Generation
Subjects:
attention‐LSTM
behind‐the‐meter PV power
short‐term power prediction
transfer learning
Online Access:https://doi.org/10.1049/rpg2.12829

Internet

https://doi.org/10.1049/rpg2.12829

Similar Items