Publication:
Short term power load forecasting using a modified generalized regression neural network

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dc.citedby1
dc.contributor.authorYap K.S.en_US
dc.contributor.authorLim C.P.en_US
dc.contributor.authorid24448864400en_US
dc.contributor.authorid55666579300en_US
dc.date.accessioned2023-12-29T07:56:25Z
dc.date.available2023-12-29T07:56:25Z
dc.date.issued2008
dc.description.abstractShort Term Load Forecasting is very important from the power systems grid operation point of view. The short term time frame may consist of half hourly prediction up to monthly prediction. Accurate forecasting would benefit the utility in terms of reliability and stability of the grid ensuring adequate supply is present to meet with the load demand. Apart from that it would also affect the financial performance of the utility company. An accurate forecast would result in better savings while maintaining the security of the grid. This paper outlines the short term load forecasting using a Modified Generalized Regression Neural Network (MGRNN). The experiments are based on the power load data from Jan 1997 to Jan 1999 of East Slovakian Electricity Corporation. Simulation results show that MGRNN has comparable prediction accuracy compared to benchmark result archived by Support Vector Regression.en_US
dc.description.natureFinalen_US
dc.identifier.epage184
dc.identifier.scopus2-s2.0-62449274621
dc.identifier.spage180
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-62449274621&partnerID=40&md5=9205f4979da70f04c10487ce2d25451f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30950
dc.pagecount4
dc.sourceScopus
dc.sourcetitleProceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008
dc.subject?-Insensitive loss function
dc.subjectGeneralized regression neural network
dc.subjectLoad forecasting
dc.subjectTime series prediction
dc.subjectCompetition
dc.subjectNeural networks
dc.subjectRegression analysis
dc.subjectTime series
dc.subjectFinancial performance
dc.subjectGeneralized regression neural network
dc.subjectGrid operations
dc.subjectLoad demands
dc.subjectLoad forecasting
dc.subjectPower load forecasting
dc.subjectPower loads
dc.subjectPower systems
dc.subjectPrediction accuracies
dc.subjectReliability and stabilities
dc.subjectShort term load forecasting
dc.subjectShort terms
dc.subjectSimulation results
dc.subjectSupport vector regressions
dc.subjectTime frames
dc.subjectTime series prediction
dc.subjectUtility companies
dc.subjectElectric load forecasting
dc.titleShort term power load forecasting using a modified generalized regression neural networken_US
dc.typeConference paperen_US
dspace.entity.typePublication
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