Solar energy is the most important energy resource that has become an efficient solution to
the world's energy challenges. Accurate knowledge of global solar radiation and cell …

The main aim of the present study is to explore the relationship between numerous input
parameters and the solar photovoltaic (PV) power using machine learning (ML) models. Two …

Renewable energy integration into existing or new energy hubs together with Green
technologies such as Power to Gas and Green Hydrogen has become essential because of …

The estimation of total solar radiation (TSR) intensity is crucial for the performance, design,
and economic assessment of photovoltaic (PV) energy systems operating in different …

In this study, a new solar photovoltaic (PV) panel output power model is proposed. The
model is constructed as a function of ambient temperature and solar radiations for two types …

In this study, some of the commonly used daily global solar radiation decomposition models
are improved by considering ambient temperature, relative humidity, and air pressure to …

The air temperature and sunshine duration data were obtained from Kombolcha
Meteorological Agency to predict daily global solar radiation at Lalibela, Ethiopia. The mean …

In this study, power distribution of a grid-connected hybrid power plant consisting of a 3.125
MVA diesel generator (DG) and 2 MW photovoltaic solar panels (PV) has been controlled …

Forecasting of power generation is needed for accurate design and performance evaluation
of solar energy systems to associate demand and source side dynamics efficiently. Since the …

Solar energy has gained increasing importance in today's world and become a viable
primary energy source in the recent decade. The estimation of total solar radiation (TSR) …