Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
707315 | The Electricity Journal | 2008 | 11 Pages |
Abstract
For the economic and secure operation of power systems, a precise short-term load forecasting technique is essential. Modern load forecasting techniques – especially artificial neural network methods – are particularly attractive, as they have the ability to handle the non-linear relationships between load, weather temperature, and the factors affecting them directly. A test of two different ANN models on data from Australia’s Victoria market is promising.
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
M.M. Tripathi, K.G. Upadhyay, S.N. Singh,