Applying Data Science to Improve Solar Power Production and Reliability (original) (raw)

2019

Abstract

Worldwide demand for a reliable and sustainable supply of renewable energy, including solar, is growing. Accurate estimates of solar energy production and insights into solar equipment performance help solar plant owners and operators optimize inspections, schedule maintenance, improve the operational performance of their equipment, and maximize the environmental benefit of their investments in renewable energy. However, due to the uncertainties inherent in the unpredictable nature of this renewable resource, many challenges are associated with estimation of solar power production and detection of

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