Electricity Forecasting for Small Scale Power System Using Artificial Neural Network

Short term load forecasting (STLF) method is the
basis of efficient operation for power system. It has an important
role in planning and operation of power system. In this paper, a
practical STLF using artificial neural network method (ANN) for
Gas District Cooling (GDC) power plant of Universiti Teknologi
PETRONAS (UTP) is presented. As a sole customer of GDC
power plant, the load data from 2006 till 2009 are gathered and
utilized for model developments. The developed models forecast
electricity load for one week ahead. The paper proposes a method
of a multilayer perceptron neural network and it is trained and
simulated by using MATLAB. The models have been tested with
the actual load data and perform relatively good results.