The non-uniformity of photovoltaic (PV) temperature can further deteriorate its power
conversion efficiency and technical lifetime over long field exposures. This study proposed …

The power output performance of a photovoltaic (PV) module decreases as the temperature
increases. The increase in module temperature above the standard test conditions (25 ⁰C) …

This paper presents a hybrid Particle Swarm Optimization-Artificial Neural Network (PSO-
ANN) for predicting the kWh output from a grid-connected photovoltaic (GCPV) system. In …

On growing environmental issues, solar energy has been widely used due to its
inexhaustible and environmentally sustainable benefits [1]-[4]. The primary source of solar …

This paper presents the findings of a field pilot study to investigate the critical factors that
affect retrofitted roof-mounted photovoltaic (PV) arrays in terms of their contributions to the …

This aim of this paper is to evaluate the accuracy of long-term weather data models for
performance prediction of grid-connected photovoltaic (GCPV) systems. The analyses were …

The article presents modeling of a 40 MW power plant using the observed onsite data using
ANN and MLR models. The four different structures of neural networks are employed in two …

Modeling of photo-voltaic (PV) system electrical energy production is necessary in order to
determine the most efficient parameters (slope, azimuth, etc.) at the location of planed PV …

This paper presents the modelling of the output power of grid-connected photovoltaic
(GCPV) system using the multilayer feedforward neural network (MLFNN). Different …