Chapter
Apr 26, 2012
Electric Load Forecasting Method Based on Theory of Rough Set in Decomposed Decision Attribute
Publication: International Conference on Transportation Engineering 2007
Abstract
Long period power load forecasting is for 1–5 years time. It is significant to the reasonable planning and construction of power system. The present rough set theory developed mathematical approach is not fine, because the decision attribute is not defined elaborate. On the basis of practical examples of one area data, this paper promotes a newly attribute find method. The analysis of the calculation examples shows that it is feasible to forecast the power load under the effect of data uncertainty by rough set theory. Thus it can be seen this method will put to use in other fields, such as traffic transportation as well as logistics load forecast. For the sake of that this tool is simple and the data is available.
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© 2007 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Construction engineering
- Construction management
- Continuum mechanics
- Data analysis
- Design (by type)
- Dynamics (solid mechanics)
- Electric power
- Energy engineering
- Energy infrastructure
- Engineering fundamentals
- Engineering mechanics
- Forecasting
- Infrastructure
- Lifeline systems
- Load factors
- Mathematics
- Methodology (by type)
- Motion (dynamics)
- Research methods (by type)
- Solid mechanics
- Statistics
- Structural design
- Uncertainty principles
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School of Economics & Management, Southwest Jiaotong University, P.O. Box 610031. Chengdu, Sichuan Province, China. E-mail: [email protected]
School of Economics & Management, Southwest Jiaotong University, P.O. Box 610031. Chengdu, Sichuan Province, China. E-mail: [email protected]
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