Text mining is an emerging topic that advances the review of academic literature. This paper
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …

The state-of-the-art in the accuracy of solar resources forecasting is obtained by using
results reported in 1705 accuracy tests reported in several geographic regions (North …

Despite the fact that the concept of social innovation is extensively employed by scholars
and practitioners, yet the conceptualisation and the research structure remained fragmented …

Forecasts are always wrong, otherwise, they are merely deterministic calculations. Besides
leveraging advanced forecasting methods, post-processing has become a standard practice …

With the increase in demand for energy, penetration of alternative sources of energy in the
power grid has increased. Photovoltaic (PV) energy is the most common and popular form of …

Predicting solar radiation on inclined surfaces is a critical task for photovoltaic energy
systems design, simulation and performance evaluation. Many transposition models have …

In this paper, a new and powerful metaheuristic optimization technique known as the Coyote
Optimization Algorithm (COA) is proposed for the parameter extraction of the PV cell/module …

The high penetration level of renewable energy is thought to be one of the basic
characteristics of future smart grids. Wind power, as one of the most increasing renewable …

In modern smart grids and deregulated electricity markets, accurate forecasting of solar
irradiance is critical for determining the total energy generated by PV systems. We propose a …

This monograph summarizes and analyzes recent research by the authors and others to
understand, characterize, and model solar resource variability. This research shows that …