Name
Title | ||
|---|---|---|
Nearest neighbor technique and artificial neural networks for short-term electric consumptions forecast |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.3233/978-1-58603-925-7-313 | CCIA |
Keywords | Field | DocType |
nearest neighbor technique,energy saving,national french energy policy,present work,renewable energy,artificial neural network,managing energy demand,future work,short-term electric consumptions forecast,global development,kohonen self-organizing map,renewable energy development,energy source,nearest neighbor,multi layer perceptron | Data mining,Renewable energy,Industrial engineering,Computer science,Energy policy,Self-organizing map,Multilayer perceptron,Virtual power plant,Energy source,Artificial neural network,Perceptron | Conference |
Volume | ISSN | Citations |
184 | 0922-6389 | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Van Giang Tran | 1 | 0 | 0.34 |
| Stéphane Grieu | 2 | 36 | 6.98 |
| Monique Polit | 3 | 69 | 9.64 |