Discovery of photovoltaic resources by image processing by artificial intelligence

Chinese researchers have discovered a comprehensive map of the country’s photovoltaic resources using Fengyun-4i meteorological satellite data and artificial intelligence.

Using data from the Fengyun-4A meteorological satellite and using artificial intelligence, Chinese researchers achieved a comprehensive map of the country’s photovoltaic resources.

This obtained map will be a tool for designing, planning and operating solar energy systems. This satellite is the first of its kind among the new generation of China’s geostationary satellites.

In addition to the AGRI tool, the Advanced Geostationary Radiation Imager (Fengyun-4A satellite, abbreviated as FY-4A) also used the Random Forest algorithm and a physical model chain. The AGRI instrument is capable of imaging at wavelengths of 0.45 to 13.8 microns with a spatial resolution of 500 meters in the visible band.

According to GAO Ling, from the National Meteorological Satellite Center (MSMC) of the China Meteorological Administration, due to FY-4A’s wider field of view than other satellites such as Japan’s Himawari or Europe’s Meteosat, the solar radiation data of this Satellites over China are more reliable.

Random forest algorithm is one of the most widely used machine learning algorithms. Also, the physical model chain is an advanced workflow that connects a set of energy meteorological models.

Photovoltaics is the technology of converting light into electricity through semiconductors that have the characteristic of photovoltaic effect. A photovoltaic system produces electrical power by using solar panels, each of which is composed of solar cells.

This cooperation between FY-4A satellite technology and artificial intelligence is a milestone in China’s journey towards carbon neutrality, which is considered to achieve net zero carbon dioxide emissions.


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