Comprehensive and Comparative Analysis of GAM-Based PV Power Forecasting Models Using Multidimensional Tensor Product Splines against Machine Learning Techniques
In recent years, as photovoltaic (PV) power generation has rapidly increased on a global scale, there is a growing need for a highly accurate power generation forecasting model that is easy to implement for a wide range of electric utilities. Against this background, this study proposes a PV power f...
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Main Authors: | Takuji Matsumoto, Yuji Yamada |
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Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
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Subjects: | |
Online Access: | https://doaj.org/article/8ba2d519aae34f3ab6e05f64fe8a2fce |
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