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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | de Faria, A.F. Pinheiro, L.M. Goulart, G.T. de Melo, F.A. Siqueira, E.S. Inacio de Almeida Costa, C. de Moraes, C.H.V. Lambert-Torres, G. |
| Copyright Year | 2012 |
| Description | Author affiliation: CELG Power Distribution Company, Goiania, 74805-180, Brazil (de Faria, A.F.; Pinheiro, L.M.; Goulart, G.T.; de Melo, F.A.; Siqueira, E.S.) || FUPAI Research Foundation, Itajuba, MG, 37501-042 Brazil (Inacio de Almeida Costa, C.; Lambert-Torres, G.) || Itajuba Federal Universiy, MG, 37500-903 Brazil (de Moraes, C.H.V.) |
| Abstract | The adjustment between generation and load in all moments is a basic requirement in the process of operation of electrical systems. A current unbalance this equation can lead to unwanted deviations of voltage or loss of revenue. With this, system operators must anticipate the load values in order to prepare the necessary corrective actions to operate the system with security. One of the possible actions is the purchase of energy consumption. Before, the operators of CELG - Goias Power Distribution Co. employ some empirical capabilities to predict the load. This paper describes new software used by these operators to help in the load forecasting. The proposed methodology presented in this paper is based on fuzzy concepts. The paper shows some forecasting with real data from CELG power system. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 682615 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467319348 |
| ISSN | 21608563 |
| e-ISBN | 9781467319355 |
| e-ISBN | 9781467319331 |
| DOI | 10.1109/TDC.2012.6281481 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Market research History Forecasting Load forecasting Contracts Schedules Companies power system operation fuzzy systems data mining data analysis intelligent systems |
| Content Type | Text |
| Resource Type | Article |
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