Researchers use artificial neural networks to optimize PV tilt angles

Scientists have tested several machine-learning algorithms to predict the optimal tilt angle (OTA) of solar projects in 37 Indian cities, leading to improvements of up to 90%. An international group of researchers has used feature selection-based artificial neural networks (ANN) with various machine-learning algorithms to predict the OTA of PV systems. They ran their experiments at 37 locations in India, and depending on the evaluated ANN, accuracy improvements ranged from 38. 59% to 90. 72%. "The OTA of the solar panels is one of the crucial variables that determine the effective installation ...

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