A Study On TNB Load Reading Prediction

Abu Bakar, Muhamad Najmi (2012) A Study On TNB Load Reading Prediction. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Nowadays there is a growing tendency towards improving the electricity system. Load forecasting is a process of predicting the future load demands. The growth of development in the country increases the demand on planning management and operations of the power system supply. As electricity is a product that cannot be stored, it demands must be · forecasted in order to ensure enough supply being di$tributed to_ consumers while not generating load far exceeded that required. This project paper demonstrates the development of forecasting modeling by the application of Matlab software. It covers the load demand by the users in Penang. Hence, the load data from TNB has been used as input to forecast load and the temperature data from Malaysia ·Meteorology Department also had been used as forecasting factors. The forecasted load had been compared with actual load data to get the minimum forecasting error and better accuracy. The neural network modeling is able to make a prediction of what load would be in the next day. The modeling showed that neural network was used widely and accurately in load forecasting

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