A predictive demand of the maximum electric power using chaos-fuzzy

We propose a chaotic fuzzy controller to analyze the chaotic character of time series obtained from a specific plant and to predict the short-term for electric power demand of the plant using the fuzzy controller. We compare the predicted data with the active ones and check the error generated by them after we obtain time series of supplied electric power to the proposed controller. As a result of the simulation, we obtained the consequence that the proposed controller can be advanced through various and accurate data acquisition, and continuous analysis of the residential and industrial environment