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Detection of snow-coverage on PV-modules with images based on CNN-techniques
The transition from fossil fuels to renewable energy is considered as very meaningful to mitigate climate change. To integrate weather-dependent energies firmly into the power grid, a forecast of the energy yield is very important. This paper is about renewable energy generation by photovoltaic (PV) systems. The yield ...
Remote sensing data analysis via machine learning for land use estimation in the Greater Thessaloniki Area, Greece
Remote sensing data have been employed for monitoring the differences in land use over time. This information serves as the basis of any further land-related analysis, modelling and decision making. It requires satellite coverage of an area of interest, in various bands, and intense analysis of the data to correctly ...