| dc.contributor | Universidade Estadual Paulista (Unesp) | |
| dc.date.accessioned | 2014-05-20T15:24:09Z | |
| dc.date.available | 2014-05-20T15:24:09Z | |
| dc.date.created | 2014-05-20T15:24:09Z | |
| dc.date.issued | 2002-01-01 | |
| dc.identifier | Proceeding of the 2002 International Joint Conference on Neural Networks, Vols 1-3. New York: IEEE, p. 1258-1262, 2002. | |
| dc.identifier | 1098-7576 | |
| dc.identifier | http://hdl.handle.net/11449/34808 | |
| dc.identifier | 10.1109/IJCNN.2002.1007675 | |
| dc.identifier | WOS:000177402800224 | |
| dc.identifier | 0783942619645974 | |
| dc.description.abstract | In most of the cases, the systems of water distribution from groundwater wells use electrical submersible pumps. All electrical energy is applied to the pumps; however, other components (pipes, valves, etc.) of these systems are also responsible by the higher or lower consumption of electric energy. The supervisors and operators of the systems should thus have knowledge of the global energetic behavior of the process in order to administrate it properly. This work suggests a 'Global Energetic Efficiency Indicator' for groundwater wells by using mathematical equations and neural networks. Simulation results will be presented in order to demonstrate the validity of the proposed approach. | |
| dc.language | eng | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
| dc.relation | Proceeding of the 2002 International Joint Conference on Neural Networks, Vols 1-3 | |
| dc.rights | Acesso aberto | |
| dc.source | Web of Science | |
| dc.title | A neural approach for determination of global energetic efficiency indicator in groundwater wells | |
| dc.type | Actas de congresos | |
