In this paper, the extreme learning machine (ELM) is employed to predict horizontal global
solar radiation (HGSR). For this purpose, the capability of developed ELM method is …

Solar energy is going to play a measure role in the future global energy supply. Its
acceptance has already been on rise in developing countries like India, where there is acute …

Recent developments in solar equipment's have motivated researchers to formulate an
accurate measurement system for solar radiation under varying environment circumstances …

Estimating the horizontal global solar radiation by day of the year (n day) is particularly
appealing since there is no need to any specific meteorological input data or even pre …

Accurate estimating the solar radiation (SR) in a region is an essential issue in hydrological
studies, energy engineering, architecture, and agricultural planning. In the current study, the …

Solar energy has been considered as one of the leading renewable energy sources for
electric power generation. Therefore, intending to deal with a low energy conversion …

Solar radiation data are crucial for the design and evaluation of solar energy systems,
climatic studies, water resources management, estimating crop productivity, etc. As so, for …

Solar radiation data plays a crucial role in solar energy research and application. It provides
the vital information about the energy that strikes the earth and is highly useful for modeling …

The immense capability of artificial intelligence is to improve solar and wind speed
prediction capability using various algorithms and models. The author has reviewed many …

Module temperature is an important parameter of photovoltaic energy systems since their
performance is affected by its variation. Several cooling controllers require a precise …