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Forecasting electricity consumption in South Africa: ARMA, neural networks and neuro-fuzzy systems
2014
2014 International Joint Conference on Neural Networks (IJCNN)
This paper presents an experiment that consists of constructingauto-regressive moving average (ARMA), neural networks and neuro-fuzzy models with historical electricity consumptiontime series data to create models that can be used to forecastconsumption inthe future. The data was sampled on a monthly basis from January 1985 to December 2011.An ARMA,multilayer perceptron neural network with back propagation and neuro-fuzzy modelling technique which combines Takagi-Sugeno fuzzy models and neural
doi:10.1109/ijcnn.2014.6889898
dblp:conf/ijcnn/MarwalaT14
fatcat:g5ijgmxrsffd3pwwo2rrk7jz2q