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High penetration of solar PV power generation in utilities generation mix,both at utility scale and distributed levels,makes solar power management mandatory for all solar industry participants including solar power producers,utilities and electricity grid operators.Comprehensive solar power management relies on three major components-high resolution solar resource and power generation mapping for planning applications;solar resource and power monitoring for project development and PV power plant maintenance applications;solar irradiance and power forecasting for operational applications.A solid foundation for these components of solar power management is presented by satellite imagery processing technology realized in SolarSatDataTM technology platform.High resolution solar mapping is a global application based on a physical model that relates the reflectivity of Earth atmosphere derived from the visible spectrum channel of geostationary satellites to optical transmissivity of the atmosphere.Virtual solar power monitoring utilizes satellite data to provide near-real time estimates of solar power output for solar PV plants of any size that are not equipped with ground-based monitoring equipment.Temporal resolution of virtual power monitoring depends on the scanning frequency of satellite sensors and varies from 15 min to 3 hours.Solar power forecasting is based on combining satellite derived data on cloudiness with other forecasting techniques for different time horizons such as global and mesoscale numeric weather prediction models and cloud motion vector analysis.SolarSatDataTM technology platform provides a consistent high performance toolset for mapping,monitoring and forecasting of solar PV power generation applicable to the complete lifecycle of solar PV power projects.