Journal ArticleUnknown
Proficiency Assessment of Adaptive Neuro-Fuzzy Inference System to Predict Wind Power: A Case Study of Malaysia
Authors
Author Affiliations
University of Malaya, Begum Rokeya University, Ahsanullah University of Science and Technology, World University of Bangladesh
Published In2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)
Year2019
Citations10
Abstract
Wind power prediction is necessary for proficiency assessment of a potential wind site and can improve the technical and economic integration of wind energy into the existing electricity grid. The aim of the study is to compare the analysis of the wind power prediction between Kuala Lumpur and Melaka in Malaysia for potential place selection of wind power generation. Field data are collected from two places in Malaysia over a period of three years each place from December 2013 to December 2015. The model has been developed by an Adaptive Neuro-Fuzzy Interface System (ANFIS). In addition, the utility of soft computing ANFIS has been applied for wind power prediction. It involves four input variable-temperature, humidity, pressure and wind speed and…
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