Registration Number
0226U004356,
(0125U003387)
, R & D reports
Title
Software and information complex for the research of technical and economic parameters of solar and wind power plants based on retrospective satellite data
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Програмно-інформаційний комплекс для досліджень техніко-економічних параметрів сонячних та вітрових електростанцій на базі ретроспективних супутникових даних
Head
Zaporozhets Artur O., Доктор технічних наук
Registration Date
12-08-2026
Organization
Zaporozhets Artur O.
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Increasing the technical and economic efficiency of the functioning of RES generation facilities and the energy market as a whole by developing methods and software and information tools for studying the technical and economic parameters of RES generation facilities on the basis of retrospective satellite data.
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GreenPowerAtlas software and information system has been developed for the automated collection, processing, and spatiotemporal analysis of retrospective and forecast meteorological data to assess the potential of solar and wind power generation. A method for localizing meteorological parameters based on satellite data using the Group Method of Data Handling has been developed. An approach to spatiotemporal modeling based on a combination of 3D convolutional neural networks and recurrent LSTM networks has been proposed.
A comprehensive approach to assessing the suitability of territories for solar power plant deployment based on climatic, geographic, and terrain parameters has been developed. A module for modeling hybrid wind power plant–energy storage system (WPP–ESS) complexes in self-sufficient generation mode has been developed, and a self-sufficient generation adequacy coefficient has been proposed. Statistical analysis of meteorological data from NASA POWER, Open-Meteo, and actual measurements, as well as verification of the wind power generation calculation algorithm, has been performed.
The application of GreenPowerAtlas enables spatiotemporal assessment of renewable energy potential, analysis of meteorological data, generation modeling and forecasting, and decision support for selecting sites for renewable energy facilities and developing distributed generation.
Product Description
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2026-08-12
