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Lookup NU author(s): Dr Thillainathan Logenthiran,
Dr Wai Lok Woo
This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE, 2016.
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This paper aims to forecast wind energy generation. With accurate forecasting of energy generation, it will aid the energy sector in managing of stability and grid planning for supplied energy. The main focus of this project is Artificial Neural Network (ANN) while the training algorithms used in this project is a combination of Self-Organizing Maps (SOM) and Extreme Learning Machines (ELM). Furthermore, the training algorithm is applied into MATLAB and simulated several times in order to obtain the optimal parameters setting so as to accurately forecast wind energy generation.
Author(s): Tan KH, Logenthiran T, Woo WL
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 2016 IEEE Region 10 Conference (TENCON)
Year of Conference: 2016
Online publication date: 09/02/2017
Acceptance date: 01/08/2016
Date deposited: 28/04/2017
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