Optimization of Solar Panel Deployment Using Machine Learning

In this work, we proposed a mechanism for topology reconfiguration or optimization of photovoltaic (PV) arrays using machine learning-assisted techniques. The study takes into concern several topologies that includes series parallel topology, bridge link honeycomb and total cross tied. artificial neural network-based strategy allows optimal working conditions PV arrays. With this, solar panel deployment enables the to achieve higher degree testing accuracy precision, recall, f-measure under standard ideal condition.