Integrated MFFNN-MVO approach for PV solar power forecasting considering thermal effects and environmental conditions

Photovoltaic (PV) panels are commonly used as clean energy sources. However, their performance is sensitive to environmental conditions. In this work, a hybrid model of artificial neural networks (ANNs) and multiverse optimization (MVO)/genetic algorithm (GA) were implemented to predict PV output power, efficiency, and cell temperature. The main goal of the optimizer was to develop and update an ANN methodology based on training and forecasting....