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Modeling Energy Trending Based on Pressure, Temperature and Various Gas Components of Natural Gas to Predict Potential Billing Error by Means of Artificial Neural Network and Regression Method

YAHAYA, SAIFUL ZAIMY BIN (2008) Modeling Energy Trending Based on Pressure, Temperature and Various Gas Components of Natural Gas to Predict Potential Billing Error by Means of Artificial Neural Network and Regression Method. In: UNSPECIFIED.

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Item Type: Conference or Workshop Item (UNSPECIFIED)
PRISMA ID: 7536
URI: http://oarr.uitm.edu.my/id/eprint/19390

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