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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LEADER | 00000n a2200000 a 4501 | ||
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001 | wils-952575 | ||
005 | 2019108162632 | ||
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 |
998 | # | # | |a 00264#0a002.7.2||00264#0b002.7.4||00500##a002.17.2||00502##a007.9.2|| |