The paper presents some results of the application of linear and non-linear vector time series modelling techniques and Kalman filtering algorithm to the problem of fitting dynamic models to the observed load data of an interconnected power system. It is found that the identified model can then be usefully employed for on-line prediction of the future load demand. A case study involving a part of the northern India regional electricity grid is presented in order to illustrate the results.