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LSTM-Based Online Learning for Real-Time Solar Power Forecasting

Accurate solar power forecasting is essential to mitigate the variability and uncertainty of solar power generation and integrate renewable energy sources into power grids. A multi-step Long Short Term Memory (LSTM)-based model is proposed for solar power generation forecasting using online learning...

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Bibliografiset tiedot
Päätekijät: Ziad Ullah, Syed Maaz Shahid, Jazzson Park, Byungseok Min, Sungoh Kwon
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: IEEE 2025-01-01
Sarja:IEEE Access
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Linkit:https://ieeexplore.ieee.org/document/11153385/
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