Scientists Use Machine Learning to Schedule Off-Grid Solar Module Cleaning
The results are relevant for non-governmental organizations, governments, and energy service companies to improve the maintenance level of their solar facilities
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A group of scientists have developed a new low-cost machine learning technology to run scheduled cleaning of solar photovoltaic (PV) modules installed in remote locations that are off the grid.
