Short-term load forecasting with chaos time series analysis

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Abstract

This paper presents a new approach to short-term load forecasting in power systems. The proposed method makes use of chaos time series analysis that is based on deterministic chaos to capture characteristics of complicated load behavior. Deterministic chaos allows us to reconstruct a time series and determine the number of input variables. This paper describes chaos time series analysis of daily power system peak loads. The nonlinear mapping of deterministic chaos is identified by the multi-layer perceptron of an artificial neural network. The proposed approach is demonstrated in an example.

Original languageEnglish
Pages133-137
Number of pages5
Publication statusPublished - 1 Jan 1996
EventProceedings of the 1996 International Conference on Intelligent Systems Applications to Power Systems - Orlando, FL, USA
Duration: 28 Jan 19962 Feb 1996

Conference

ConferenceProceedings of the 1996 International Conference on Intelligent Systems Applications to Power Systems
CityOrlando, FL, USA
Period28/01/962/02/96

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  • Cite this

    Mori, H., & Urano, S. (1996). Short-term load forecasting with chaos time series analysis. 133-137. Paper presented at Proceedings of the 1996 International Conference on Intelligent Systems Applications to Power Systems, Orlando, FL, USA, .