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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Bibliographic Details
Main Authors: Takuji Matsumoto, Yuji Yamada
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Energies
Subjects:
n/a
Online Access:https://www.mdpi.com/1996-1073/14/21/7146