Hybrid support vector regression in electric load during national holiday season
@article{Caraka2017HybridSV, title={Hybrid support vector regression in electric load during national holiday season}, author={R. E. Caraka and S. A. Bakar and Bens Pardamean and Arif Budiarto}, journal={2017 International Conference on Innovative and Creative Information Technology (ICITech)}, year={2017}, pages={1-6} }
This paper studies non-parametric time-series approach to electric load in national holiday seasons based on historical hourly data in state electric company of Indonesia consisting of historical data of the Northern Sumatera also South and Central Sumatra electricity load. Given a baseline for forecasting performance, we apply our hybrid models and computation platform with combining parameter of the kernel. To facilitate comparison to results of our analysis, we highlighted the results around… CONTINUE READING
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References
SHOWING 1-10 OF 23 REFERENCES
Daily natural gas consumption forecasting based on a structure-calibrated support vector regression approach
- Engineering
- 2016
- 36
Fault prediction based on time series with online combined kernel SVR methods
- Computer Science
- 2009 IEEE Instrumentation and Measurement Technology Conference
- 2009
- 14
An efficient modelling approach for forecasting financial time series data using support vector regression and windowing operators
- Computer Science
- Int. J. Comput. Intell. Stud.
- 2015
- 5
Prediction of Euro 50 Using Back Propagation Neural Network ( BPNN ) and Genetic Algorithm ( GA )
- 2017
- 5
- PDF
Optimizing SVR Hyperparameters via Fast Cross-Validation using AOSVR
- Computer Science
- 2007 International Joint Conference on Neural Networks
- 2007
- 9