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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100 0 # |a Nurhani Kasuan  |e author 
245 1 0 |a 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  |c Nurhani Kasuan, Saiful Zaimy Yahaya, Nofri Yenita Dahlan 
264 # 0 |a SHAH ALAM, SELANGOR  |b UNIVERSITI TEKNOLOGI MARA. INSTITUT PENGURUSAN PENYELIDIKAN  |c 2009 
500 # # |a UiTM X Digitization 
502 # # |a Research report-UNIVERSITI TEKNOLOGI MARA. INSTITUT PENGURUSAN PENYELIDIKAN, 2009 
040 # # |a Shah Alam 
856 4 0 |z Click Here to View Status and Holdings.  |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=952575 
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