explores a regional continuous grid division scheme by combining remote sensing-based surface solar radiation data with Gaussian mixture models. The research confirms that the hourly radiation data obtained from remote sensing inversion has high accuracy in Jiangsu Province in comparison to ground observations
with correlation coefficients of 0.95 and 0.89 for the global and diffuse radiation
respectively. In addition
the spatiotemporally continuous estimates accurately reveal the spatial differences and monthly variations in both global and diffuse radiation within the region. Using monthly sequences as the basis for solar radiation zoning
this study checks the changes in information entropy and actual zone number of the zoning result of Gaussian mixture model under different maximum zone number constraints
finding that constructing 100 to 208 continuous zones in Jiangsu Province is appropriate. As the zone number increases
the zoning granularity becomes finer
and the zoning scheme evolves from mainly revealing differences in the amount of surface radiation to concurrently considering differences in both the amount and variations.
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references
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ESTIMATION OF REGIONAL SOLAR RADIATION ON CLEAR DAYS OVER COMPLEX TERRIAN
实用多朝向太阳辐照度概率密度函数研究
STUDY ON GLOBAL SOLAR IRRADIANCE FOR SUMMER IN LOW LATITUDES OF CHINA
STUDY ON APPLICATION OF ERA5 DATA TO SOLAR ENERGY RESOURCE ASSESSMENT OVER CHINA’S REGION
EVOLUTION OF SOLAR RADIATION IN CHINA PAMIR PLATEAU
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