Wind energy potential in kuching areas of sarawak for small-scale power application
Energy is a catalyst for national development; most of the countries depend on hydrocarbon fuels for power generation. The traditional sources of energy are exorbitant and finite. In addition, they emit excessive carbon dioxide and other gases into the lower layer of the atmosphere, which influence...
Saved in:
Main Authors: | Salisu Muhammad, Lawan, Wan Azlan, Wan Zaina Abidinl, Chai, Wangyin, Azhaili, Baharun, Thelaha, Bin Hj Masri |
---|---|
Format: | E-Article |
Language: | English English |
Published: |
Trans Tech Publications Ltd
2015
|
Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/15262/1/Wind-energy-potential-in-kuching-areas-of-sarawak-for-small-scale-power-application_2015_International-Journal-of-Engineering-Research-in-Africa.html http://ir.unimas.my/id/eprint/15262/2/Wind%20energy%20potential%20in%20kuching%20areas%20of%20sarawak%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/15262/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964829247&doi=10.4028%2fwww.scientific.net%2fJERA.15.1&partnerID=40&md5=e7c1af97a37bedb18ca128d4e84a78d1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Wind power generation via ground wind station and topographical feedforward neural network (T-FFNN) model for small-scale applications
by: Salisu Muhammad, Lawan, et al.
Published: (2017) -
Implementation of a topographic artificial neural network wind speed prediction model for assessing onshore wind power potential in Sibu, Sarawak
by: Wan Azlan, Wan Zainal Abidin, et al.
Published: (2019) -
Performance of Low Cost Alternative Radiant Cooling Panel in Malaysia
by: Muhammad Syukri, Imran, et al.
Published: (2017) -
Wind Speed Prediction in Non-Monitored Areas Based on
Topographic Radial Basis Neural Network (T-RBNN)
by: Salisu Muhammad, Lawan, et al.
Published: (2018) -
Wind energy assessment and mapping using terrain nonlinear autoregressive neural network (TNARX) and wind station data
by: Salisu, Muhammad Lawan, et al.
Published: (2018)