DATA VALIDATION AND HARMONIZATION FOR INTEGRATED ENERGY MODELS: A CASE STUDY USING NASA POWER AND ERA5 DATA
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The article investigates the validation, standardization, and harmonization of meteorological data from different sources for long-term modeling of renewable energy systems. A methodological workflow is proposed that includes preliminary quality control, unit standardization, temporal synchronization, spatial matching, and statistical assessment using RMSE, MAE, and Bias. NASA POWER and ERA5 data for August 2026 were compared for Tashkent, Samarkand, Bukhara, Karshi, and Navoi using three key parameters: solar radiation, air temperature, and wind speed. The relative mean absolute difference for solar radiation ranged from 2.79% to 3.82%, indicating relatively close agreement between the two data sources. RMSE values ranged from 1.03 to 3.06 °C for air temperature and from 0.84 to 1.91 m/s for wind speed. The results demonstrate that agreement between data sources varies considerably by meteorological parameter and that each parameter should therefore be validated separately before being incorporated into integrated energy models. The proposed approach provides a methodological basis for the subsequent comparison and harmonization of international datasets with national observations and for the development of a consistent input dataset for renewable energy modeling.
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