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| Author(s): |
Lucas Assis de Moraes
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC/SBD) |
| Defense date: | 2014-08-01 |
| Examining board members: |
Rogério Andrade Flauzino;
Alexandre Cláudio Botazzo Delbem;
Adrião Duarte Dória Neto
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| Advisor: | Rogério Andrade Flauzino |
| Abstract | |
This work aims to develop a fuzzy approach focusing on the short-term active power demand forecast in a feeder of an electrical energy distribution system. This work motivation lies on the reduction of the forecast error so that the whole distribution system can be correctly operated. The highlight of the developed approach is the methodology to select the inputs for the estimation system, which trains it giving to it non-redundant and non-unnecessary information about the time series behavior. The results, obtained by training and testing a multilayer fuzzy inference system, show that the estimations made by following a criterion to select the inputs have smaller error than when there is no selection criterion at all. It is therefore concluded that the methodology was functional and efficient for the case under study, what makes this work result in valid contributions for the fields of intelligent systems, dynamic systems and in the methodological way to specify models to estimate time series. (AU) | |
| FAPESP's process: | 12/12007-7 - Development of a fuzzy methodology for demand estimation in feeders of electrical energy distribution systems |
| Grantee: | Lucas Assis de Moraes |
| Support Opportunities: | Scholarships in Brazil - Master |