Estimation of daily global solar radiation using empirical and machine-learning methods: A case study of five Moroccan locations
Reliable solar radiation data are essential to study the feasibility and to determine the
optimal size of solar plants in a particular location. However, the network of solar radiation …
optimal size of solar plants in a particular location. However, the network of solar radiation …
Estimation of the energy production of a parabolic trough solar thermal power plant using analytical and artificial neural networks models
The accurate estimation of a concentrated solar power plant production is an important issue
because of the fluctuations in meteorological parameters like solar radiation, ambient …
because of the fluctuations in meteorological parameters like solar radiation, ambient …
A novel deep neural network based on randomly occurring distributed delayed PSO algorithm for monitoring the energy produced by four dual-axis solar trackers
An accurate predictive model is essential for monitoring the energy produced by a solar
system based on different meteorological parameters. In the present paper, a novel machine …
system based on different meteorological parameters. In the present paper, a novel machine …
A review of solar radiation prediction using artificial neural networks
M Marzouq, H El Fadili, Z Lakhliai… - 2017 International …, 2017 - ieeexplore.ieee.org
Prediction of solar radiation plays an important role in different energy systems. The aim of
this paper is twofold: firstly, we provide an updated review of solar radiation prediction …
this paper is twofold: firstly, we provide an updated review of solar radiation prediction …
Optimizing artificial neural networks for the accurate prediction of global solar radiation: A performance comparison with conventional methods
Obtaining precise solar radiation data is the first stage in determining the availability of solar
energy. It is also regarded as one of the major inputs for a variety of solar applications. Due …
energy. It is also regarded as one of the major inputs for a variety of solar applications. Due …
A comparative analysis of exhaust gas temperature based on machine learning models for aviation applications
The main objective of this study is to investigate elaborately the relationship between
exhaust gas temperature (EGT) and various operational parameters specific to aero-engine …
exhaust gas temperature (EGT) and various operational parameters specific to aero-engine …
New daily global solar irradiation estimation model based on automatic selection of input parameters using evolutionary artificial neural networks
Assessment of solar potential over a location of interest is introduced as an important step
for the successful planning of solar energy systems (photovoltaic or thermal). The aim of this …
for the successful planning of solar energy systems (photovoltaic or thermal). The aim of this …
Effective estimation of hourly global solar radiation using machine learning algorithms
AB Guher, S Tasdemir… - International Journal of …, 2020 - Wiley Online Library
The precise estimation of solar radiation is of great importance in solar energy applications
with respect to installation and capacity. In estimate modelling on selected target locations …
with respect to installation and capacity. In estimate modelling on selected target locations …
Prediction of Solar Irradiation in Africa using Linear-Nonlinear Hybrid Models
Solar irradiation prediction including Global Horizontal Irradiation (GHI) and Direct Normal
Irradiation (DNI) is a useful technique for assessing the solar energy potential at specific …
Irradiation (DNI) is a useful technique for assessing the solar energy potential at specific …
[HTML][HTML] Evolution of wildfires, burned areas, and affected species in Middle Atlas forests (Morocco) from 2000 to 2020
S Serbouti, Y Abbas, A Ettaqy, H Boukcim… - Trees, Forests and …, 2022 - Elsevier
This study evaluated of the impact of wildfires, burned areas and affected species, for the
first time, in Fez, Sefrou and Boulemane provinces located in the Middle Atlas Mountains of …
first time, in Fez, Sefrou and Boulemane provinces located in the Middle Atlas Mountains of …