| Title |
A Study on the Demand Forecasting Control using A Composite Fuzzy Model |
| Authors |
김창일(Kim, Chang-Il) ; 성기철(Seong, Gi-Cheol) ; 유인근(Yu, In-Geun) |
| Keywords |
Peak load management ; Composite fuzzy model ; Wavelet transform ; Kohonen neural network |
| Abstract |
This paper presents an industrial peak load management system for the peak demand control. Kohonen neural network and wavelet transform based techniques are adopted for industrial peak load forecasting that will be used as input data of the peak demand control. Firstly, one year of historical load data of a steel company were sorted and clustered into several groups using Kohonen neural network and then wavelet transforms are applied with Biorthogonal 1.3 mother wavelet in order to forecast the peak load of one minute ahead. In addition, for the peak demand control, composite fuzzy model is proposed and implemented in this work. The results are compared with those of conventional model, fuzzy model and composite model, respectively. The outcome of the study clearly indicates that the composite fuzzy model approach can be used as an attractive and effective means of the peak demand control. |