Abstract
In this paper, Market Clearing Price(MCP) short-term forecasting implementation using advanced fuzzy modeling technique is presented. The described approach uses the well-known Takagi-Sugeno-Kang(TSK) fuzzy model with scatter partition structure. A modified structure identification algorithm for TSK model is introduced in detail. Particularly, since the presented algorithm is computationally simple and partitively accurate, we can set the good initial parameters and build the MCP forecasting fuzzy models rapidly. The retrospective MCP real-world data was used for modeling and testing the TSK model. The results presented in this paper confirm considerable value of the fuzzy modeling based approach in forecasting the MCP.
| Original language | English |
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| Pages | 2262-2266 |
| Number of pages | 5 |
| State | Published - 2000 |
| Event | Proceedings of the 3th World Congress on Intelligent Control and Automation - Hefei, China Duration: 28 Jun 2000 → 2 Jul 2000 |
Conference
| Conference | Proceedings of the 3th World Congress on Intelligent Control and Automation |
|---|---|
| Country/Territory | China |
| City | Hefei |
| Period | 28/06/00 → 2/07/00 |
Keywords
- Fuzzy modeling
- Market Clearing Price
- TSK models