A hybrid simulation-adaptive network based fuzzy inference system for improvement of electricity consumption estimation

Author:

Azadeh A.,Saberi M.,Gitiforouz A.,Saberi Z.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference47 articles.

1. Azadeh, A., Ghaderi, S. F., Tarverdian, S., & Saberi, M. (2006). Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption. In Proceeding of the 32nd annual conference of the IEEE industrial electronics society – IECON’06. Paris, France: Conservatoire National des Arts and Metiers.

2. Forecasting electrical consumption by integration of neural network, time series and ANOVA;Azadeh;Applied Mathematics and Computation,2007

3. Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption;Azadeh;Applied Mathematics and Computation,2007

4. Aznarte, J. L., Sanchez, J. M. B., Lugilde, D. N., Fernandez, C. D. L., Guardia, C. D., & Sanchez, F. A. (2007). Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models. Expert Systems with Applications, 32(4), 1218–1225.

5. An expert system for predicting aeration performance of weirs by using ANFIS;Baylar;ESWA,2008

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