has been cited by the following article(s):
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[1]
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Investigation of the compliance of offshore wind data with the Weibull distribution function using six different methods
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Scientia Iranica,
2023 |
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[2]
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New estimation method of wind power density with three‐parameter Weibull distribution: A case on Central Inner Mongolia suburbs
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Wind Energy,
2022 |
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[3]
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Correlation analysis of three-parameter Weibull distribution parameters with wind energy characteristics in a semi-urban environment
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Energy Reports,
2022 |
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[4]
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The investigation of the compliance of offshore wind data with the Weibull distribution function with using six different methods
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Scientia Iranica,
2022 |
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[5]
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Assessment of Wind Energy Potential and the Application for Micro-Turbines
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International Journal of Electrical Engineering and …,
2021 |
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[6]
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Learning Optimization of Power Grid Dispatch Considering Load Aggregator and Uncertainty of Both Source and Load
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2021 IEEE 5th Conference …,
2021 |
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[7]
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A principled distance-based prior for the shape of the Weibull model
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2020 |
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[8]
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Wind Resource Assessment in the Upper Blinkwater area in the Province of Eastern Cape, South Africa
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International Journal of Engineering and Technical Research,
2020 |
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[9]
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Comparative Study for One-Diode Photovoltaic Model Using Experimental Data
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2020 IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC),
2020 |
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[10]
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Wind Resource Assessment in the Upper Blinkwater area in the Province of Eastern Cape South Africa
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Int. J. Eng. Tech …,
2020 |
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[1]
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On the implications of a new statistical model and machine learning algorithms in music engineering
Alexandria Engineering Journal,
2025
DOI:10.1016/j.aej.2025.03.008
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[2]
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Calculation of Annual Energy Production (AEP) and the contribution of Tolo 1 Wind Farm 72 MW in reducing carbon emissions using the Weibull Probability Distribution Method
IOP Conference Series: Earth and Environmental Science,
2025
DOI:10.1088/1755-1315/1543/1/012035
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[3]
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New estimation method of wind power density with three‐parameter Weibull distribution: A case on Central Inner Mongolia suburbs
Wind Energy,
2022
DOI:10.1002/we.2677
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[4]
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Correlation analysis of three-parameter Weibull distribution parameters with wind energy characteristics in a semi-urban environment
Energy Reports,
2022
DOI:10.1016/j.egyr.2022.06.043
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[5]
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Learning Optimization of Power Grid Dispatch Considering Load Aggregator and Uncertainty of Both Source and Load
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2),
2021
DOI:10.1109/EI252483.2021.9713047
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[6]
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Comparative Study for One-Diode Photovoltaic Model Using Experimental Data
2020 IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC),
2020
DOI:10.1109/iSSSC50941.2020.9358874
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