Support vector machine approach for short term load forecasting

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 22, Issue 4, 2002, Pages 26-30

  Zhao, Deng Fu ^a   Wang, Meng ^a   Zhang, Jiang She ^a   Wang, Xi Fan ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Kernels; Sequential minimal optimization; Short term load forecasting; Support vector machine

Indexed keywords

GLOBAL OPTIMIZATION; REGRESSION ANALYSIS;

SEQUENTIAL MINIMAL OPTIMIZATION; SHORT TERM LOAD FORECASTING; SUPPORT VECTOR MACHINE;

ELECTRIC LOAD FORECASTING;

EID: 0036552848     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. A regression based approach to short term system load forecasting
2. Short term load forecasting of Taiwan power system using a knowledge-based expert system
3. An improved novelty criterion for resource allocating networks
4. Practical implantation of a hybrid fuzzy neural network for one-day-ahead load forecasting
5. Fast training of support vector machines using sequential optimization
6. Improvements to SMO algorithm for SVM regression