Based on the fuzzy clustering algorithm to model for load forecasting
In this paper,fuzzy clustering algorithm to model for load forecasting.Load forecasting method in this article is the time load forecasting method,so this paper collect large amount of historical data,and historical data processing,to extract some kind of load change typical pattern.Then,the test environment,characterized by the features and the comparison between the historical environment,and which determine the closest history class,to determine if the time of power load and the corresponding prediction history class variables have the same pattern of change.Finally,the impact of changes in load factors related to the future of the state to determine which model is the future load changes,so as to achieve the purpose of prediction.In this paper,a lot of practice on fuzzy forecasting method explored and tried,and finally succeeded in fuzzy theory to load forecasting in a region,we propose a fuzzy clustering causal theory-based programs.
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