Time series: theory and methods
Time series: theory and methods
Multilayer feedforward networks are universal approximators
Neural Networks
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
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Promoting both energy savings and renewable energy development are two objectives of the actual and national French energy policy. In this sense, the present work takes part in a global development of various tools allowing managing energy demand. So, this paper is focused on estimating short-term electric consumptions for the city of Perpignan (south of France) by means of the Nearest Neighbor Technique (NNT) or Kohonen self-organizing map and multi-layer perceptron neural networks. The analysis of the results allowed comparing the efficiency of both used tools and methods. Future work will first focus on testing other popular tools for trying to improve the obtained results and secondly on integrating a forecast module based on the present work in a virtual power plant for managing energy sources and promoting renewable energy.