A fuzzy knowledge-based system for bus load forecasting
The authors describe an alternative approach to short-term load forecasting. The approach merges traditional mathematical techniques and fuzzy concepts in a knowledge base. The rules of this knowledge base are devised using the historical data of the bus and are represented by fuzzy conditional stat...
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| creator | Lambert-Torres, G. Borges da Silva, L.E. Valiquette, B. Greiss, H. Mukhedkar, D. |
| description | The authors describe an alternative approach to short-term load forecasting. The approach merges traditional mathematical techniques and fuzzy concepts in a knowledge base. The rules of this knowledge base are devised using the historical data of the bus and are represented by fuzzy conditional statements. An example using real data from an actual power system is presented.< > |
| doi_str_mv | 10.1109/FUZZY.1992.258650 |
| format | Conference Proceeding |
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The approach merges traditional mathematical techniques and fuzzy concepts in a knowledge base. The rules of this knowledge base are devised using the historical data of the bus and are represented by fuzzy conditional statements. An example using real data from an actual power system is presented.< ></abstract><pub>IEEE</pub><doi>10.1109/FUZZY.1992.258650</doi><tpages>8</tpages></addata></record> |
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| identifier | ISBN: 0780302362 |
| ispartof | IEEE International Conference on Fuzzy Systems : March 8-12, 1992, Town & Country Hotel, San Diego, California, 1992, p.1211-1218 |
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| language | eng |
| recordid | cdi_ieee_primary_258650 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Fuzzy systems Knowledge based systems Load forecasting Power systems |
| title | A fuzzy knowledge-based system for bus load forecasting |
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