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A combined methodology of adaptive neuro-fuzzy inference system and genetic algorithm for short-term energy forecasting

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Figure

Figure 1. ANFIS architecture with two inputs, four rules and one output.
Figure 2. Dataflow of the modeling process.
Fig. 5 depict the chromosome that was selected in each  training period by the GA, while Fig
Figure 7. Comparison of the real consumption with the prediction result for  a period of 1 month

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