Ultra-Short Term Photovoltaic Generation Forecasting Based on Data Decomposition and Customized Hybrid Model Architecture

Ultra-Short Term Photovoltaic Generation Forecasting Based on Data Decomposition and Customized Hybrid Model Architecture

As photovoltaic (PV) systems have been successfully adopted worldwide, accurate power generation forecasting becomes increasingly essential to stable power grid operation and smart grid applications to cope with the variability of PV systems. Several data-driven models have recently been proposed fo...

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Bibliographic Details
Main Authors: Jooseung Lee, Jimyung Kang, Soonwoo Lee, Hui-Myoung Oh
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep learning
renewable energy
photovoltaic
solar
microgrid
ultra-short term forecasting
Online Access:https://ieeexplore.ieee.org/document/10419336/

Internet

https://ieeexplore.ieee.org/document/10419336/

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