Title :
The Optimization Model Based on Support Vector Machine for the Energy-Conserving Generation Dispatch
Author_Institution :
Dept. of Mech. Eng., North China Electr. Power Univ., Baoding, China
Abstract :
According to the situation of generation units operating, we establish the index system of energy-conserving generation dispatch and the optimization model based on support vector machine (SVM) .Then we make experiment by the real data of southern Hebei grid, and the result show that SVM can be realized easily and has high accuracy. The model is feasible and effective, and this method can improve the evaluation precision and has good spread ability.
Keywords :
energy conservation; optimisation; support vector machines; energy-conserving generation dispatch; optimization model; southern Hebei grid; support vector machine; Computational modeling; Energy conservation; Equations; Mechanical engineering; Power engineering computing; Power generation; Risk management; Rough sets; Set theory; Support vector machines; Energy conservation and consumption reduction; energy-conserving generation dispatch; rough set theory; support vector machine;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.429
