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http://hdl.handle.net/10397/1409
| Title: | A neural fuzzy network with optimal number of rules for short-term load forecasting in an intelligent home | Authors: | Ling, SH Lam, HK Leung, FHF Tam, PKS |
Issue Date: | 2001 | Source: | The 10th IEEE International Conference on Fuzzy Systems : meeting the grand challenge : machines that serve people : The University of Melbourne, Australia, December, 2001, Sunday 2nd to Wednesday 5th, p. 1456-1459 | Abstract: | In this paper, a short-term home daily load forecasting realized by a neural fuzzy network (NFN) and an improved genetic algorithm (GA) is proposed. It can forecast the daily load accurately with respect to different day types and weather information. It will also be shown that the improved GA performs better than the traditional GA on some benchmark test functions. By introducing switches in the links of the neural fuzzy network, the optimal network structure can be found by the improved GA. The membership functions and the number of rules of the neural fuzzy network can be generated automatically. Simulation results for a short-term daily load forecasting in an intelligent home will be given. | Keywords: | Computer simulation Digital arithmetic Electric appliances Electric load forecasting Electric power transmission networks Genetic algorithms Membership functions Neural networks |
Publisher: | IEEE | ISBN: | 0-7803-7293-X | Rights: | © 2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| Appears in Collections: | Conference Paper |
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| Fuzzy network with optimal number_01.pdf | 311.79 kB | Adobe PDF | View/Open |
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