Hasanuddin University

Radial Basis Function (RBF) Neural Network for Load Forecasting during Holiday

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dc.contributor.author Syafaruddin
dc.contributor.author Salama Manjang
dc.contributor.author Satriani Latief
dc.date.accessioned 2017-07-26T04:11:30Z
dc.date.available 2017-07-26T04:11:30Z
dc.date.issued 2016-11-28
dc.identifier.citation Scopus en_US
dc.identifier.isbn 978-1-5090-5108-3
dc.identifier.uri http://repository.unhas.ac.id/handle/123456789/24878
dc.description.abstract Providing solution for short term load forecasting is a major challenge remained for researchers due to the nature characteristics of load which are non-linear, probabilistic and uncertainty. As the statistical assumption may fail to estimate the load profLIe precisely, the intelligent techniques play important role to provide alternative solutions. This paper discusses the variant of artificial neural network called radial basis function (RBF) neural network for short term load forecasting. The method is recently attracted attention due to structure simplicity and high identification performance. The RBF method is an artificial neural network model motivated by locally-tuned response biological neurons that provide selective response characteristics for some finite range of the input signal space. The estimation process is carried out with 4 previous peak load holiday to predict the peak load of the next holiday using data of the year 2005-2011 in Makassar City, Indonesia. The validation results show that the proposed method can offer very accurate forecasting results, indicated by small mean absolute percentage error (MAPE) for the estimation task of the year of 2012 and 2013 in comparison to conventional least square polynomial approximation method. en_US
dc.description.sponsorship IEEE en_US
dc.language.iso en en_US
dc.publisher Proc. of The 3ed IEEE Conference on Power Engineering and Renewable Energy (ICPERE) 2016 en_US
dc.relation.ispartofseries ICPERE 2016;pp.235-239
dc.subject short term; load forecasting; intelligent methods; RBF; neural network. en_US
dc.title Radial Basis Function (RBF) Neural Network for Load Forecasting during Holiday en_US
dc.type Article en_US
dc.UNHAS.email syafaruddin@unhas.ac.id en_US
dc.UNHAS.Fakultas Teknik en_US
dc.UNHAS.Prodi Teknik Elektro en_US
dc.UNHAS.idno 197405301999031003 en_US

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