MODELLING OF ENERGY TRENDING BASED ON PRESSURE, TEMPERATURE AND VARIOUS GAS COMPONENTS OF NATURAL GAS TO PREDICT POTENTIAL BILLING ERROR BY MEANS OF ARTIFICIAL INTELLIGENT TECHNIQUES AND REGRESSION METHODS

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Bibliographic Details
Main Author:	Nurhani Kasuan (Author)
Format:	Thesis
Online Access:	Click Here to View Status and Holdings.
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