A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel
Alternative fuel is one of the widely used fuel substitutions for both petrol and diesel in the
field of internal combustion engine. The increase in the demand for alternative fuel is …
field of internal combustion engine. The increase in the demand for alternative fuel is …
Comparison of empirical models to estimate monthly mean diffuse solar radiation from measured data: Case study for humid-subtropical climatic region of India
This study demonstrates the performance comparison of the models to estimate monthly
mean diffuse solar radiation on a horizontal surface for Humid-Subtropical Climatic Region …
mean diffuse solar radiation on a horizontal surface for Humid-Subtropical Climatic Region …
A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran
The present study generally aims to provide a comparison between the performance and
suitability of different types of models for estimation of daily global solar radiation in Iran …
suitability of different types of models for estimation of daily global solar radiation in Iran …
Intelligent parameter optimization of Savonius rotor using artificial neural network and genetic algorithm
Power coefficient, the most significant criterion for evaluating the performance of Savonius
rotor is a multi-dimensional function of numerous parameters like overlap ratio, number of …
rotor is a multi-dimensional function of numerous parameters like overlap ratio, number of …
High-resolution estimates of diffuse fraction based on dynamic definitions of sky conditions
Accurate monitoring and operation of solar power systems require high-resolution solar
radiation measurements and precise separation models. This study aims to improve the …
radiation measurements and precise separation models. This study aims to improve the …
Comparative analysis of diffuse solar radiation models based on sky-clearness index and sunshine period for humid-subtropical climatic region of India: A case study
In the present work, long-term solar radiation assessment was performed for three years
(September 2013 to August 2016) in Humid-Subtropical Climatic Region of India for the city …
(September 2013 to August 2016) in Humid-Subtropical Climatic Region of India for the city …
General models for estimating daily and monthly mean daily diffuse solar radiation in China's subtropical monsoon climatic zone
Solar energy is the most prominent kind of renewable energy resource. Accessibility to
accurate information on diffuse solar radiation is critical to solar energy applications. This …
accurate information on diffuse solar radiation is critical to solar energy applications. This …
Solar photovoltaic panel production in Mexico: A novel machine learning approach
This study examines the potential for widespread solar photovoltaic panel production in
Mexico and emphasizes the country's unique qualities that position it as a strong …
Mexico and emphasizes the country's unique qualities that position it as a strong …
[HTML][HTML] Data-driven method for the improving forecasts of local weather dynamics
This paper describes the modeling approach for lower atmosphere dynamics in a selected
location. The purpose of this model is to provide short-term and long-term forecasts of the …
location. The purpose of this model is to provide short-term and long-term forecasts of the …
[PDF][PDF] Hybrid forecasting of wind for air pollution dispersion over complex terrain
M Perne, J Kocijan, MZ Božnar, B Grašič… - J. Environ. Inform, 2023 - academia.edu
In case of an unplanned emission event from a nuclear power plant, the local population can
be protected more efficiently when valid atmospheric dispersion model results are available …
be protected more efficiently when valid atmospheric dispersion model results are available …