What is he best known for?
The fields of study he is best known for:
- Statistics
- Renewable energy
- Electrical engineering
Ali Mostafaeipour spends much of his time researching Wind power, Meteorology, Wind speed, Offshore wind power and Renewable energy.
The various areas that he examines in his Wind power study include Electricity, Power station, Hydrogen production, Weibull distribution and Hydrogen tank.
His study focuses on the intersection of Weibull distribution and fields such as Energy with connections in the field of Probability density function.
His work blends Meteorology and Remote area studies together.
His Offshore wind power research is multidisciplinary, incorporating perspectives in Scatterometer, Wind power generation, Extrapolation and Wind potential.
His Renewable energy study combines topics from a wide range of disciplines, such as Electricity generation, Shape parameter, Biofuel and Range.
His most cited work include:
- Assessing different parameters estimation methods of Weibull distribution to compute wind power density (145 citations)
- Wind energy feasibility study for city of Shahrbabak in Iran (124 citations)
- An analysis of wind energy potential and economic evaluation in Zahedan, Iran (110 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Wind power, Renewable energy, Wind speed, Meteorology and Electricity.
His Wind power research includes themes of Electricity generation, Hydrogen production, Weibull distribution and Marine engineering.
Ali Mostafaeipour has researched Renewable energy in several fields, including Environmental engineering, Solar energy, Ranking, Fossil fuel and Environmental economics.
His study in Wind speed is interdisciplinary in nature, drawing from both Energy and Multilayer perceptron.
Ali Mostafaeipour does research in Meteorology, focusing on Wind profile power law specifically.
His Electricity research includes elements of Cogeneration and Cost of electricity by source.
He most often published in these fields:
- Wind power (42.50%)
- Renewable energy (37.50%)
- Wind speed (26.88%)
What were the highlights of his more recent work (between 2019-2021)?
- Renewable energy (37.50%)
- Wind power (42.50%)
- Environmental economics (16.25%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Renewable energy, Wind power, Environmental economics, Environmental engineering and Electricity.
Ali Mostafaeipour combines subjects such as TOPSIS, Electricity generation, Solar energy, Ranking and Fossil fuel with his study of Renewable energy.
The concepts of his Wind power study are interwoven with issues in Marine engineering, Wind speed, Weibull distribution and Solar air conditioning.
He has included themes like Genetic algorithm, Algorithm and Multilayer perceptron in his Wind speed study.
His work is dedicated to discovering how Environmental engineering, Hydrogen production are connected with Photovoltaic system and Petrochemical and other disciplines.
His Electricity research integrates issues from Cogeneration, Meteorology and Cost of electricity by source.
Between 2019 and 2021, his most popular works were:
- Using fuzzy MCDM technique to find the best location in Qatar for exploiting wind and solar energy to generate hydrogen and electricity (23 citations)
- Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm (15 citations)
- Statistical evaluation of using the new generation of wind turbines in South Africa (11 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Renewable energy
- Machine learning
Renewable energy, Wind power, Ranking, Wind speed and Agricultural engineering are his primary areas of study.
His Renewable energy research incorporates elements of Fossil fuel, Photovoltaic system and Environmental engineering.
As a part of the same scientific study, Ali Mostafaeipour usually deals with the Wind power, concentrating on Marine engineering and frequently concerns with Homer software, Wind power generation, Electric power and Weibull distribution.
His Ranking research is multidisciplinary, relying on both Data envelopment analysis and Operations research.
His research in Wind speed tackles topics such as Electricity which are related to areas like Cost of electricity by source, Capital cost and Meteorology.
Ali Mostafaeipour interconnects Energy consumption, TOPSIS, Extreme learning machine, Predictive modelling and Electricity generation in the investigation of issues within Agricultural engineering.
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