Cover Image

An Optimized ANN Measure-Correlate-Predict Method for Long-term Wind Prediction in Malaysia

Data mining; Genetic algorithms; Meteorology; Neural networks; Planning; Sustainable development; Weibull distribution; Climate forecasts; Measure-correlate-predict; Measurement instruments; Measurement sites; Meteorological data; Reanalysis; Weibull frequency; Wind measurement; Forecasting

Saved in:
Bibliographic Details
Main Authors: Hwang Y.K., Ibrahim M.Z., Ahmed A.N., Albani A.
Other Authors: 57207781142
Format: Conference Paper
Published: IEEE Computer Society 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-24787
record_format dspace
spelling my.uniten.dspace-247872023-05-29T15:27:03Z An Optimized ANN Measure-Correlate-Predict Method for Long-term Wind Prediction in Malaysia Hwang Y.K. Ibrahim M.Z. Ahmed A.N. Albani A. 57207781142 55413616900 57214837520 55772882600 Data mining; Genetic algorithms; Meteorology; Neural networks; Planning; Sustainable development; Weibull distribution; Climate forecasts; Measure-correlate-predict; Measurement instruments; Measurement sites; Meteorological data; Reanalysis; Weibull frequency; Wind measurement; Forecasting The major issues on the wind measurement campaign are the data measured in a short period and the occurrence of missing data due to the failure of the measurement instrument. Meanwhile, Measure-Correlate-Predict (MCP) method had widely been used to predict the long-term condition and missing data at the measurement site based on nearest Malaysian Meteorological Department (MMD), Meteorological Aerodrome Report (METAR) and extended Climate Forecast System Reanalysis (ECFSR) data. In this research, the long-term wind data at selected potential sites in Malaysia were predicted by optimized Artificial Neural Networks (ANNs). The Genetic Algorithm (GA) was applied to optimize the ANN. Five different ANN MCP models had been designed based on different types of reference data and different temporal scales to predict wind data at three target sites. Weibull frequency distributions and RMSE examined predicted wind data. The prediction of ANN had been improved in between 20.562% to 113.573% by GA optimization. The best R-value obtained from optimization were affected the Weibull shape and scale of predicted data. At last, the result revealed that the optimized ANN model could predict the long-term data for the target site with better accuracy. � 2018 Asian Institute of Technology. Final 2023-05-29T07:27:03Z 2023-05-29T07:27:03Z 2019 Conference Paper 10.23919/ICUE-GESD.2018.8635790 2-s2.0-85062879361 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062879361&doi=10.23919%2fICUE-GESD.2018.8635790&partnerID=40&md5=8169245adf0af7ac042248f7c1613c9d https://irepository.uniten.edu.my/handle/123456789/24787 2018-October 8635790 IEEE Computer Society Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Data mining; Genetic algorithms; Meteorology; Neural networks; Planning; Sustainable development; Weibull distribution; Climate forecasts; Measure-correlate-predict; Measurement instruments; Measurement sites; Meteorological data; Reanalysis; Weibull frequency; Wind measurement; Forecasting
author2 57207781142
author_facet 57207781142
Hwang Y.K.
Ibrahim M.Z.
Ahmed A.N.
Albani A.
format Conference Paper
author Hwang Y.K.
Ibrahim M.Z.
Ahmed A.N.
Albani A.
spellingShingle Hwang Y.K.
Ibrahim M.Z.
Ahmed A.N.
Albani A.
An Optimized ANN Measure-Correlate-Predict Method for Long-term Wind Prediction in Malaysia
author_sort Hwang Y.K.
title An Optimized ANN Measure-Correlate-Predict Method for Long-term Wind Prediction in Malaysia
title_short An Optimized ANN Measure-Correlate-Predict Method for Long-term Wind Prediction in Malaysia
title_full An Optimized ANN Measure-Correlate-Predict Method for Long-term Wind Prediction in Malaysia
title_fullStr An Optimized ANN Measure-Correlate-Predict Method for Long-term Wind Prediction in Malaysia
title_full_unstemmed An Optimized ANN Measure-Correlate-Predict Method for Long-term Wind Prediction in Malaysia
title_sort optimized ann measure-correlate-predict method for long-term wind prediction in malaysia
publisher IEEE Computer Society
publishDate 2023
_version_ 1806423498797613056
score 13.222552

Similar Items