Short-term load forecasting using generalized regression and probabilistic neural networks in the electricity market
Journal Article
·
· Electricity Journal
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. (author)
- OSTI ID:
- 21116134
- Journal Information:
- Electricity Journal, Vol. 21, Issue 9; Other Information: Elsevier Ltd. All rights reserved; ISSN 1040-6190
- Country of Publication:
- United States
- Language:
- English
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