Supplier Short Term Load Forecasting Using Support Vector Regression and Exogenous Input
By: Marin Matijaš, Milan Vukićević and Slavko Krajcar
Open Access
|Oct 2011References
- GROSS, G.—GALIANA, F. D.: Short-Term Load Forecasting, Proceedings of the IEEE(1987).
- BUNN, D. W.—FARMER, E. D. E.: Comparative Models for Electrical Load Forecasting, International Journal of Forecasting(1986), 241-242.
- HIPPERT, H. S.—PEDREIRA, C. E.—SOUZA, R. C.: Neural Networks for Short-Term Load Forecasting: a Review and Evaluation, IEEE Transactions on Power Systems(2001), 44-55.
- TZAFESTAS, S.—TZAFESTAS, E.: Computational Intelligence Techniques for Short-Term Electric Load Forecasting, Journal of Intelligent and Robotic Systems(2001), 7-68.
- KYRIAKIDES, E.—POLYCARPOU, M.: Short Term Electric Load Forecasting: a Tutorial, Computer Engineering(2007), 391-418.
- HAHN, H.—MEYER-NIEBERG, S.—PICKL, S.: Electric Load Forecasting Methods: Tools for Decision Making, European Journal of Operational Research(2009), 902-907.
- SANKAR, R.—SAPANKEVYCH, N. I.: Time Series Prediction Using Support Vector Machines: A Survey, IEEE Computational Intelligence Magazine(2009), 24-38.
- SOLIMAN, S. A.—Al-KANDARI, A. M.: Electrical Load Forecasting: Modeling and Model Construction, Elsevier Inc., 2010.
- HOR, C.-L.—WATSON, J. S.—MAJITHIA, S.: Analyzing the Impact of Weather Variables on Monthly Electricity Demand, IEEE Transactions on Power Systems(10) (Nov 2005), 987-2085.
- MOHAMED, Z.—BODGER, P.: Forecasting Electricity Consumption in New Zealand using Economic and Demographic Variables, Energy(2005), 1833-1843.
- SOUZA, R. C.—BARROS, M.—MIRANDA, C. V. C.: Short Term Load Forecasting using Double Seasonal Exponential Smoothing and Interventions to Account for Holidays and Temperature Effects, Acapulco, Mexico, 2007.
- CHANG, M.-W.—CHEN, B.-J.—LIN, C.-J.: EUNITE Network Competition: Electricity Load Forecasting, 2001.
- FEINBERG, E. A.—GENETHLIOU, D.: Load Forecasting, Applied Mathematics for Restructured Electric Power Systems: Optimization, Control and Computational Intelligence, Power Electronics and Power Systems (2005), 269-285, Springer.
- KARSAZ, A.—MASHHADI, H. R.—MIRSALEHI, M. M.: Electrical Power and Energy Systems Market clearing Price and Load Forecasting using Cooperative Co-Evolutionary Approach, International Journal of Electrical Power and Energy Systems(2010), 408-415.
- SCOPUS
- PAI, P. F.—HONG, W. C.: Forecasting Regional Electricity Load based on Recurrent Support Vector Machines with Genetic Algorithms, Electric Power Systems Research(2005), 417-425.
- LI, X.—SUN, C.—GONG, D.: Application of Support Vector Machine and Similar Day Method for Load Forecasting, Advances in Natural Computation(2005), 602-609.
- NIU, D.—WANG, Y.—DUAN, C.—XING, M.: A New Short-Term Power Load Forecasting Model Based on Chaotic Time Series and SVM, Journal of Universal Computer Science(2009), 2726-2745.
- DRUCKER, H.—BURGES, C. J. C.—KAUFMAN, L.—SMOLA, A. J.—VAPNIK, V.: Support Vector Regression Machines, Advances in Neural Information Processing Systems(1997), 155-161.
- SMOLA, A. J.—SCHÖLKOPF, B.: A Tutorial on Support Vector Regression, Learning, 1998.
- HSU, C.-W.—CHANG, C.-C.—LIN, C.-J.: A Practical Guide to Support Vector Classification, Bioinformatics(2010), 1-16.
DOI: https://doi.org/10.2478/v10187-011-0044-9 | Journal eISSN: 1339-309X (formerly 1335-3632) | Journal ISSN: 1335-3632
Language: English
Page range: 280 - 285
Published on: Oct 24, 2011
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Keywords:
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© 2011 Marin Matijaš, Milan Vukićević, Slavko Krajcar, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons License.