Ringwood, John (2002) Intelligent Forecasting of Electricity Demand. In: Proceedings of the European Symposium on Intelligent Technologies, September 19-22 2002, Albufeira, Portugal.

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Abstract

In this paper, a number of approaches to the modelling of electricity demand, on a variety of time-scales, are considered. These approaches fall under the category of 'intelligent' systems engineering, where techniques such as neural networks, fuzzy logic and genetic algorithms are employed. The paper attempts to give some motivation for the employment of such techniques, while also making some effort to be realistic about the limitations of such methods, in particular a number of important caveats that should be borne in mind when utilising these techniques within the current application domain. In general, the electricity demand data is modelled as a time series, but one application considered involves application of linguistic modelling to capture operator expertise.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	Intelligent Forecasting; Electricity Demand;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering
Item ID:	1959
Depositing User:	Professor John Ringwood
Date Deposited:	26 May 2010 15:52
Refereed:	Yes
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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