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Electric load forecasting plays a vital role in the safety of power system. To overcome the unreasonableness in the division of electric load forecasting artificially, in this paper, a new method which is the division of electric load forecasting based on artificial immune clustering algorithm is proposed. To reduce the scale of data and the redundancy information of the clustering data, this article puts the electric load data of a city in China as the antigen of immune system and makes a clustering analysis of the immunological memory data sets produced by artificial immune algorithm. The simulations demonstrate that the method proposed is more stable than artificially method and provides excellent division results.
Energy and Environment Technology, 2009. ICEET '09. International Conference on (Volume:2 )
Date of Conference: 16-18 Oct. 2009