Spatiotemporal Downscaling Model for Solar Irradiance Forecast Using Nearest-Neighbor Random Forest and Gaussian Process

Spatiotemporal Downscaling Model for Solar Irradiance Forecast Using Nearest-Neighbor Random Forest and Gaussian Process

Accurate solar photovoltaic (PV) capacity estimation requires high-resolution, site-specific solar irradiance data to account for localized variability. However, global datasets, such as the National Solar Radiation Database (NSRDB), provide regional averages that fail to capture the fine-scale fluc...

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Bibliographic Details
Main Authors: Shadrack T. Asiedu, Abhilasha Suvedi, Zongjie Wang, Hossein Moradi Rekabdarkolaee, Timothy M. Hansen
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Energies
Subjects:
distributed energy resources
FERC 2222
nearest-neighbor Gaussian process
nearest-neighbor random forest
solar irradiance forecasting
spatiotemporal downscaling
Online Access:https://www.mdpi.com/1996-1073/18/10/2447
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