Article ID Journal Published Year Pages File Type
707315 The Electricity Journal 2008 11 Pages PDF
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
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