What is he best known for?
The fields of study he is best known for:
- Statistics
- Mechanical engineering
- Electrical engineering
His main research concerns Mean squared error, Support vector machine, Correlation coefficient, Wind power and Mean absolute percentage error.
Mean squared error is a primary field of his research addressed under Statistics.
His study in Artificial neural network extends to Support vector machine with its themes.
Kasra Mohammadi focuses mostly in the field of Correlation coefficient, narrowing it down to matters related to Global solar radiation and, in some cases, Kernel extreme learning machine and Hyperparameter optimization.
His Wind power research integrates issues from Power density, Standard deviation, Wind speed, Turbine and Weibull distribution.
His Mean absolute percentage error research includes themes of Empirical modelling, Range and Coefficient of determination.
His most cited work include:
- A support vector machine–firefly algorithm-based model for global solar radiation prediction (177 citations)
- A new hybrid support vector machine–wavelet transform approach for estimation of horizontal global solar radiation (150 citations)
- Assessing different parameters estimation methods of Weibull distribution to compute wind power density (145 citations)
What are the main themes of his work throughout his whole career to date?
Kasra Mohammadi mainly investigates Mean squared error, Wind power, Statistics, Wind speed and Solar energy.
His Mean squared error research is multidisciplinary, incorporating elements of Artificial neural network, Correlation coefficient, Coefficient of determination and Support vector machine.
His studies in Wind power integrate themes in fields like Turbine, Weibull distribution and Power density.
His work carried out in the field of Statistics brings together such families of science as Sunshine duration and Soft computing.
Kasra Mohammadi has researched Sunshine duration in several fields, including Empirical modelling and Global solar radiation.
He combines subjects such as Photovoltaic system, Process engineering and Renewable energy with his study of Solar energy.
He most often published in these fields:
- Mean squared error (24.51%)
- Wind power (19.61%)
- Statistics (19.61%)
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