Articles uploaded in MyJurnal |
|
|
View Article |
Model and analysis of wind speed profile using artificial neural network - feasibility study in Peninsular Malaysia
Muhammad Nizam Kamarudin1, Abdul Rashid Husain2, Mohamad Noh Ahmad3, Zaharuddin Mohamed4.
Accurate modeling of wind speed profile is crucial as the wind speed dynamics are non-deterministic, having chaotic behavior and highly nonlinear in nature. Therefore, obtaining mathematical model of such wind speed profile is rather difficult and vague. In this brief manuscript, the wind speed distribution in Peninsular Malaysia is modeled via the real-time wind data obtained from the Malaysian Meteorological Services (MMS). Artificial neural network (ANN) has been exploited to train the data such that the exact model of wind speed can be identified. The induced wind speed model worthwhile for control engineers to develop control apparatus for wind turbine systems at the selected area of studies. With the wind speed distribution profile, turbine output power can be analyzed and were discussed thoroughly.
Affiliation:
- Universiti Teknikal Malaysia Melaka, Malaysia
- Universiti Teknologi Malaysia, Malaysia
- Universiti Teknologi Malaysia, Malaysia
- Universiti Teknologi Malaysia, Malaysia
Toggle translation
Download this article (This article has been downloaded 127 time(s))
|
|
Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
|
6 |
Immediacy Index
|
0.000 |
Rank |
0 |
Indexed by |
Scopus 2020 |
Impact Factor
|
CiteScore (1.4) |
Rank |
Q3 (Engineering (all)) |
Additional Information |
SJR (0.191) |
|
|
|
|
|