Transfer Learning for Photovoltaic Power Forecasting Across Regions Using Large-Scale Datasets

Transfer Learning for Photovoltaic Power Forecasting Across Regions Using Large-Scale Datasets

Accurate photovoltaic (PV) power forecasting enables stable grid operation; however, acquiring sufficient and diverse data remains challenging. Although numerous deep learning models have been employed, most rely on proprietary datasets or data spanning only a few years, limiting the generalizabilit...

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Bibliographic Details
Main Authors: Seongho Bak, Sowon Choi, Donguk Yang, Doyoon Kim, Heeseon Rho, Kyoobin Lee
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Photovoltaic power forecasting
large-scale dataset
transfer learning
deep learning
Online Access:https://ieeexplore.ieee.org/document/11086606/
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