Abstract
Wind direction has a substantial effect on the environment and human lives. As examples, the wind direction influences the dispersion of particulate matter in the air and affects the construction of engineering structures, such as towers, bridges, and tall buildings. Therefore, a statistical analysis of the wind direction provides important information about the wind regime at a particular location. In addition, knowledge of the wind direction and wind speed can be used to derive information about the energy potential. This study investigated the characteristics of the wind regime of Mersing, Malaysia. A circular distribution based on Nonnegative Trigonometric Sums (NNTS) was fitted to a histogram of the average hourly wind direction data. The Newton-like manifold algorithm was used to estimate the parameter of each component of the NNTS model. Next, the suitability of each NNTS model was judged based on a graphical representation and Akaike's Information Criteria. The study found that the NNTS model with six or more components was able to fit the wind directional data for the Mersing station.
| Original language | English |
|---|---|
| Title of host publication | 2nd ISM International Statistical Conference 2014, ISM 2014 |
| Subtitle of host publication | Empowering the Applications of Statistical and Mathematical Sciences |
| Editors | Nor Aida Zuraimi Md Noar, Roslinazairimah Zakaria, Wan Nur Syahidah Wan Yusoff, Mohd Sham Mohamad, Mohd Rashid Ab Hamid |
| Publisher | American Institute of Physics Inc. |
| Pages | 305-311 |
| Number of pages | 7 |
| ISBN (Electronic) | 9780735412811 |
| DOIs | |
| Publication status | Published - 1 Jan 2015 |
| Event | 2nd ISM International Statistical Conference 2014: Empowering the Applications of Statistical and Mathematical Sciences, ISM 2014 - Kuantan, Pahang, Malaysia Duration: 12 Aug 2014 → 14 Aug 2014 |
Publication series
| Name | AIP Conference Proceedings |
|---|---|
| Volume | 1643 |
| ISSN (Print) | 0094-243X |
| ISSN (Electronic) | 1551-7616 |
Other
| Other | 2nd ISM International Statistical Conference 2014: Empowering the Applications of Statistical and Mathematical Sciences, ISM 2014 |
|---|---|
| Country | Malaysia |
| City | Kuantan, Pahang |
| Period | 12/8/14 → 14/8/14 |
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Keywords
- Circular distribution based on nonnegative trigonometric sums
- Multimodal directional data
- Newton-like manifold algorithm
- Wind direction modeling
ASJC Scopus subject areas
- Physics and Astronomy(all)
Cite this
Fitting a circular distribution based on nonnegative trigonometric sums for wind direction in Malaysia. / Masseran, Nurulkamal; Razali, Ahmad Mahir; Ibrahim, Kamarulzaman; Zaharim, Azami; Sopian, Kamaruzzaman.
2nd ISM International Statistical Conference 2014, ISM 2014: Empowering the Applications of Statistical and Mathematical Sciences. ed. / Nor Aida Zuraimi Md Noar; Roslinazairimah Zakaria; Wan Nur Syahidah Wan Yusoff; Mohd Sham Mohamad; Mohd Rashid Ab Hamid. American Institute of Physics Inc., 2015. p. 305-311 (AIP Conference Proceedings; Vol. 1643).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Fitting a circular distribution based on nonnegative trigonometric sums for wind direction in Malaysia
AU - Masseran, Nurulkamal
AU - Razali, Ahmad Mahir
AU - Ibrahim, Kamarulzaman
AU - Zaharim, Azami
AU - Sopian, Kamaruzzaman
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Wind direction has a substantial effect on the environment and human lives. As examples, the wind direction influences the dispersion of particulate matter in the air and affects the construction of engineering structures, such as towers, bridges, and tall buildings. Therefore, a statistical analysis of the wind direction provides important information about the wind regime at a particular location. In addition, knowledge of the wind direction and wind speed can be used to derive information about the energy potential. This study investigated the characteristics of the wind regime of Mersing, Malaysia. A circular distribution based on Nonnegative Trigonometric Sums (NNTS) was fitted to a histogram of the average hourly wind direction data. The Newton-like manifold algorithm was used to estimate the parameter of each component of the NNTS model. Next, the suitability of each NNTS model was judged based on a graphical representation and Akaike's Information Criteria. The study found that the NNTS model with six or more components was able to fit the wind directional data for the Mersing station.
AB - Wind direction has a substantial effect on the environment and human lives. As examples, the wind direction influences the dispersion of particulate matter in the air and affects the construction of engineering structures, such as towers, bridges, and tall buildings. Therefore, a statistical analysis of the wind direction provides important information about the wind regime at a particular location. In addition, knowledge of the wind direction and wind speed can be used to derive information about the energy potential. This study investigated the characteristics of the wind regime of Mersing, Malaysia. A circular distribution based on Nonnegative Trigonometric Sums (NNTS) was fitted to a histogram of the average hourly wind direction data. The Newton-like manifold algorithm was used to estimate the parameter of each component of the NNTS model. Next, the suitability of each NNTS model was judged based on a graphical representation and Akaike's Information Criteria. The study found that the NNTS model with six or more components was able to fit the wind directional data for the Mersing station.
KW - Circular distribution based on nonnegative trigonometric sums
KW - Multimodal directional data
KW - Newton-like manifold algorithm
KW - Wind direction modeling
UR - http://www.scopus.com/inward/record.url?scp=85061101719&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061101719&partnerID=8YFLogxK
U2 - 10.1063/1.4907460
DO - 10.1063/1.4907460
M3 - Conference contribution
AN - SCOPUS:85061101719
T3 - AIP Conference Proceedings
SP - 305
EP - 311
BT - 2nd ISM International Statistical Conference 2014, ISM 2014
A2 - Noar, Nor Aida Zuraimi Md
A2 - Zakaria, Roslinazairimah
A2 - Yusoff, Wan Nur Syahidah Wan
A2 - Mohamad, Mohd Sham
A2 - Hamid, Mohd Rashid Ab
PB - American Institute of Physics Inc.
ER -