Machine learning models to help photovoltaic systems find their place in the sun

(Incheon National University) Although photovoltaic systems constitute a promising way of harnessing solar energy, power grid managers need to accurately predict their power output to schedule generation and maintenance operations efficiently. Scientists from Incheon National University, Korea, have developed a machine learning-based approach that can more accurately estimate the output of photovoltaic systems than similar algorithms, paving the way to a more sustainable society.
Source: EurekAlert! - Biology - Category: Biology Source Type: news