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dc.contributor.authorNor Azuana Ramli, Mohd Fairuz Abdul Hamid, UniKL BMI-
dc.date.accessioned2016-11-30T04:12:04Z-
dc.date.available2016-11-30T04:12:04Z-
dc.date.issued2016-11-30-
dc.identifier.urihttp://ir.unikl.edu.my/jspui/handle/123456789/15047-
dc.description.abstractIt is observed through studies and recent data, energy consumption increases proportionally to the electricity costs. In order to reduce the costs, energy consumption need to be analyzed and one way to reduce the energy consumption is by implementing the energy efficiency.en_US
dc.language.isoenen_US
dc.subjectEnergy efficiencyen_US
dc.subjectArtificial neural networken_US
dc.subjectPredictionen_US
dc.subjectWastewater treatment planten_US
dc.titleEnergy Analysis of a Wastewater Treatment Plant by Using Artificial Neural Networken_US
dc.typeArticleen_US
dc.conference.name2016 International Conference on Applied Computing, Math Sciences and Engineering (ACMF)en_US
dc.conference.year2016en_US
Appears in Collections:Conference Paper

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