Comparison of PV Power Generation Forecasting in a Residential Building using ANN and DNN

Time-Dependent Photovoltaic Performance Assessment on a Global Scale Using Artificial Neural Networks

“…Another research employed ANN models to investigate the influence of coolant mass flow rate and atmospheric variables on key parameters, including electrical power production and thermal energy, in a PV/Thermal (PV/T) system [23]. Tavares et al compared and analyzed two PV generation forecasting approaches based on a multi-layer feed-forward ANN and a deep NN with a case study on a multi-apartment residential building [24]. Ghenai et al [25] proposed a predictive ANN model to anticipate the power output from bifacial solar PV systems installed on flat roof buildings with low and high surface albedo in Sharja, United Arab Emirates.…”