Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...
Abstract: Reliable solar Photovoltaic (PV) power forecasting is critical for efficient grid management. This study evaluates hybrid models integrating physical and Machine Learning (ML) techniques for ...
Abstract: Uncrewed aerial vehicles (UAVs) are increasingly used in close-range remote sensing due to flexible multiangle observations and high spatial resolution. However, fine-scale surface ...
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