Wind energy assessment and mapping using terrain nonlinear autoregressive neural network (TNARX) and wind station data

• Main Authors: Salisu, Muhammad Lawan, Wan Azlan, Wan Zainal Abidin
• Format: Article
• Language: English
• Published: Cogent OA 2018
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://ir.unimas.my/id/eprint/20301/1/Salisu.pdf; http://ir.unimas.my/id/eprint/20301/; https://www.cogentoa.com/article/10.1080/23311916.2018.1452594/figures-tables
• Institution: Universiti Malaysia Sarawak

This paper presents the potential of generating wind power using soft computing model and ground station data. In reality, the process of wind resource assessment is to set up an experiment in the targeted locations, and measure the wind speed and direction. In this paper, a prediction model based o...