Data-driven models for predicting solar radiation in semi-arid regions
Solar energy represents one of the most important renewable energy sources contributing to
the energy transition process. Considering that the observation of daily global solar radiation …
the energy transition process. Considering that the observation of daily global solar radiation …
[HTML][HTML] Evaluation of energy extraction of PV systems affected by environmental factors under real outdoor conditions
The global agenda to increase the renewable energy share has driven many countries and
entities to harness solar energy from solar photovoltaic (PV) systems. However, the power …
entities to harness solar energy from solar photovoltaic (PV) systems. However, the power …
Ultra-short-term exogenous forecasting of photovoltaic power production using genetically optimized non-linear auto-regressive recurrent neural networks
Accurate and credible ultra-short-term photovoltaic (PV) power production prediction is very
important in short-term resource planning, electric power dispatching, and operational …
important in short-term resource planning, electric power dispatching, and operational …
[PDF][PDF] Hybrid ensemble-learning approach for renewable energy resources evaluation in algeria
In order to achieve a highly accurate estimation of solar energy resource potential, a novel
hybrid ensemble-learning approach, hybridizing Advanced Squirrel-Search Optimization …
hybrid ensemble-learning approach, hybridizing Advanced Squirrel-Search Optimization …
[HTML][HTML] Modelling natural gas, renewables-sourced electricity, and ICT trade on economic growth and environment: evidence from top natural gas producers in Africa
Addressing extensive global goals including growing energy-sourced electricity and
advancing sustainable development plans strongly depends on natural gas as a transition …
advancing sustainable development plans strongly depends on natural gas as a transition …
Solar irradiance short-term prediction under meteorological uncertainties: survey hybrid artificial intelligent basis music-inspired optimization models
Short-term predictions of solar radiation are essential for enhanced management and
control of solar energy systems. However, developing artificial intelligent models is often a …
control of solar energy systems. However, developing artificial intelligent models is often a …
Estimating the global solar irradiation and optimizing the error estimates under Algerian desert climate
Accurate predictions of the solar resource are essential tools for the design, performance
analysis, and economic evaluation of various solar energy projects. This paper is proposed …
analysis, and economic evaluation of various solar energy projects. This paper is proposed …
Implicit regression-based correlations to predict the back temperature of PV modules in the arid region of south Algeria
The determination of the PV module temperature is a key parameter for the assessment of
the actual performance of the PV systems. The application of available models for PV …
the actual performance of the PV systems. The application of available models for PV …
[HTML][HTML] The applicability of sunshine-based global solar radiation models modified with meteorological factors for different climate zones of China
K Lan, L Wang, Y Zhou, Z Zhang, S Fang… - Frontiers in Energy …, 2023 - frontiersin.org
With the development of renewable energy, the exploitation and utilization of solar energy
resources also need continuous progress, but solar radiation data shortage has become a …
resources also need continuous progress, but solar radiation data shortage has become a …
Comparison of artificial intelligence and empirical models for energy production estimation of 20 MWp solar photovoltaic plant at the Saharan Medium of Algeria
Purpose This study aims to estimate the electric power production of the 20 MWp solar
photovoltaic (PV) plant installed in the Adrar region, South of Algeria using minimal …
photovoltaic (PV) plant installed in the Adrar region, South of Algeria using minimal …