Application of Generalized Neuron Model in Short Term Load Forecasting under error functions

Artificial Neural Networks (ANN's) have large number of difficulties such as large training time, local minima error, large data etc. Generalized Neuron Model (GNM) overcomes the above drawbacks which specifically uses summation (Σ) and product (π). In this paper, the prediction of GNM to apply for Short Term Load Forecasting with different error functions with the results of root mean square error, maximum error, minimum error and time elapsed in seconds is presented.