Recurrent Fourier-Kolmogorov Arnold Networks for photovoltaic power forecasting

Recurrent Fourier-Kolmogorov Arnold Networks for photovoltaic power forecasting

Abstract Accurate day-ahead forecasting of photovoltaic (PV) power generation is crucial for power system scheduling. To overcome the inaccuracies and inefficiencies of current PV power generation forecasting models, this paper introduces the Recurrent Fourier-Kolmogorov Arnold Network (RFKAN). Init...

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Bibliographic Details
Main Authors: Desheng Rong, Zhongbao Lin, Guomin Xie
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Photovoltaic power forecasting
RNN architecture
Fourier series
RFKAN
Online Access:https://doi.org/10.1038/s41598-025-88959-5
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https://doi.org/10.1038/s41598-025-88959-5

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