A Swarm Intelligence Approach for Statistical Modeling of Wind Speed and Direction: A Case Study of New York Bight-Reference-Cited by-同舟云学术

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A Swarm Intelligence Approach for Statistical Modeling of Wind Speed and Direction: A Case Study of New York Bight

Published:2024-01-25 Issue: Volume:36 Page:176-185
ISSN:
Container-title:Computing in Civil Engineering 2023
language:
Short-container-title:

Author:

Salami Pargoo Navid¹²³²,Amini Erfan¹²³²,Zadeh Mahshid Mohammad¹²³²,Hajj Muhammad¹²³²

Affiliation:

1. Dept. of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ.

2. Dept. of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ

3. Dept. of Civil and Environmental Engineering, Colorado State Univ., Fort Collins, CO

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485224.022

Reference27 articles.

1. Breckling, J. (2012). The analysis of directional time series: applications to wind speed and direction, Vol. 61. Springer Science & Business Media.

2. Bureau of Ocean Energy Management. “New york bight” . Accessed: March 11 2023.

3. Statistical modelling of directional wind speeds using mixtures of von Mises distributions: Case study

4. A joint probability density function of wind speed and direction for wind energy analysis

5. A review of wind speed probability distributions used in wind energy analysis

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