What's Wrong with my Solar Panels: a Data-Driven Approach
نویسندگان
چکیده
Solar panels have been improving in efficiency and dropping in price, and are therefore becoming more common and economically viable. However, the performance of solar panels depends not only on the weather, but also on other external factors such as shadow, dirt, dust, etc. In this paper, we describe a simple and practical data-driven method for classifying anomalies in the power output of solar panels. In particular, we propose and experimentally verify (using two solar panel arrays in Ontario, Canada) a simple classification rule based on physical properties of solar radiation that can distinguish between shadows and direct covering of the panel, e.g,. by dirt or snow.
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