May 5, 2019 ¡¤ This work aimed to interpret the feasibility of several machine learning approaches to assess the spatial distribution of solar radiation on ...
This study proposes a new deep learning-based solar radiation forecasting model using solar radiation data (W/m2) obtained from a ground-based Meteorology ...
The solar and meteorological resources map is calculated using by one-layer solar radiation model (GWNU model), satellites data and numerical model output ...
Development of GWNU (Gangneung-Wonju National University) one-layer transfer model for calculation of solar radiation distribution of the Korean peninsula.
Improvement of Korea Meteorological Administration Solar Energy Resources Map Using Fine-Scale Terrain Data. Jinah Yun, Jinwon Kim, Minwoo Choi, Hee-Wook ...
A convolutional global horizontal irradiance prediction model is developed, using Convolutional neural networks and publicly accessible satellite cloud ...
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... a global initiative on Renewable Energy Resource Mapping ... This report documents validation of solar resource data calculated by Solargis satellite model.
The so-called IGMK model was developed by Möser and Raschke to determine global radiation from geostationary satellite data. We now present some improvements ...
In this study, we evaluated the Himawari-8 global radiation product AMATERASS using observations recorded at four SKYNET stations in Japan.
Jun 10, 2022 ¡¤ This study is novel as each of the AI models developed was used to estimate solar irradiance considering different timesteps (hourly, every minute, and daily ...