DEVELOPMENT OF NEURAL NETWORK PREDICTION MODEL FOR GAS CONSUMPTION

• Main Author: Abdullah, Mohammad Sholeh Bin
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi PETRONAS 2009
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://utpedia.utp.edu.my/4052/1/Dissertation_Final_Report.pdf; http://utpedia.utp.edu.my/4052/

This report basically discusses the preliminary research done and basic understanding of the chosen topic, which is Development of Neural Network Prediction Model for Gas Consumption. The objective of this project is to create a system to predict gas consumption using neural network ideology. Prediction in this project gives a broad path of ideas especially when it is related to gas consumption. A study on the gas behavior, parameters involves and input-output analysis shall be conducted theoretically and experimentally. Neural network give the process application to draw an input-output mapping. An extensive process of learning will be given by feeding task examples that consist of unique input and corresponding desired response. Neural network also implement adaptability behavior which is important in order to response for changes especially environmental changes. At the end of project, the system should be able to improve gas consumption process by including the extensive features into the predicting model.