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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 4/2018

31.01.2018

The Probabilistic Model and Forecasting of Power Load Based on Variational Bayesian Expectation Maximization and Relevance Vector Machine

verfasst von: Wegen Gao, Qigong Chen, Yuan Ge, YiQing Huang

Erschienen in: Wireless Personal Communications | Ausgabe 4/2018

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Abstract

As the surging demands of secure power supply and reliable power system, the power load approximation and forecasting are becoming more significant and more important. Different from the current research work, we integrate power load approximation and forecasting based on the Gaussian mixture model and relevance vector machine. In order to estimate the parameters of GMM, the variational bayesian expectation maximization algorithm are employed. Based on the estimation results, the relevance vector machine and bayesian regression model are built to forecast the power load and its labels. The simulation results show that the proposed algorithms can closely approximate the power load profiles and forecast the power load with lower errors.
Vorheriger Artikel Cloud Model-Based Safety Performance Evaluation of Prefabricated Building Project in China
Nächster Artikel Supervised and Constrained Nonnegative Matrix Factorization with Sparseness for Image Representation

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Literatur
1.
Amin, S. M., & Wollenberg, B. F. (2005). Toward a smart grid: Power delivery for the 21st century. IEEE Power and Energy Magazine, 3(5), 34–41.CrossRef
2.
Santacana, E., Rackliffe, G., Tang, L., & Feng, X. (2010). Getting smart. IEEE Power and Energy Magazine, 8(2), 41–48.CrossRef
3.
Ghosh, A. K., Lubkeman, D. L., Downey, M. J., & Jones, R. H. (1997). Distribution circuit state estimation using a probabilistic approach. IEEE Transactions on Power Systems, 12(1), 45–51.CrossRef
4.
Heunis, S. W., & Herman, R. (2002). A probabilistic model for residential consumer loads. IEEE Transactions on Power Systems, 17(3), 621–625.CrossRef
5.
Balestrassi, P., Paiva, A., de Souza, A. Z., Turrioni, J., & Popova, E. (2011). A multivariate descriptor method for change-point detection in nonlinear time series. Journal of Applied Statistics, 38(2), 327–342.MathSciNetCrossRef
6.
Seppãlã, A. (1995). Statistical distribution of customer load profiles. In 1995 Proceedings of EMPD’95., 1995 International Conference on Energy Management and Power Delivery, 1995 (Vol. 2, pp. 696–701), IEEE.
7.
Tina, G., Gagliano, S., & Raiti, S. (2006). Hybrid solar/wind power system probabilistic modelling for long-term performance assessment. Solar Energy, 80(5), 578–588.CrossRef
8.
Li, W., Zhou, J., Lu, J., & Yan, W. (2007). Incorporating a combined fuzzy and probabilistic load model in power system reliability assessment. IEEE Transactions on Power Systems, 22(3), 1386–1388.CrossRef
9.
Singh, R., Pal, B., & Jabr, R. (2010). Distribution system state estimation through Gaussian mixture model of the load as pseudo-measurement. IET Generation, Transmission & Distribution, 4(1), 50–59.CrossRef
10.
Li, H.-Z., Guo, S., Li, C.-J., & Sun, J.-Q. (2013). A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm. Knowledge-Based Systems, 37, 378–387.CrossRef
11.
Dong, R., & Pedrycz, W. (2008). A granular time series approach to long-term forecasting and trend forecasting. Physica A: Statistical Mechanics and Its Applications, 387(13), 3253–3270.CrossRef
12.
Niu, D., Wang, Y., & Wu, D. D. (2010). Power load forecasting using support vector machine and ant colony optimization. Expert Systems with Applications, 37(3), 2531–2539.CrossRef
13.
Sorjamaa, A., Hao, J., Reyhani, N., Ji, Y., & Lendasse, A. (2007). Methodology for long-term prediction of time series. Neurocomputing, 70(16), 2861–2869.CrossRef
14.
Al-Hamadi, H., & Soliman, S. (2005). Long-term/mid-term electric load forecasting based on short-term correlation and annual growth. Electric Power Systems Research, 74(3), 353–361.CrossRef
15.
Reis, A. R., & Da Silva, A. A. (2005). Feature extraction via multiresolution analysis for short-term load forecasting. IEEE Transactions on Power Systems, 20(1), 189–198.CrossRef
16.
Wang, J., Li, L., Niu, D., & Tan, Z. (2012). An annual load forecasting model based on support vector regression with differential evolution algorithm. Applied Energy, 94, 65–70.CrossRef
17.
Pai, P.-F., & Hong, W.-C. (2005). Support vector machines with simulated annealing algorithms in electricity load forecasting. Energy Conversion and Management, 46(17), 2669–2688.CrossRef
18.
Pappas, S. S., Ekonomou, L., Karamousantas, D. C., Chatzarakis, G., Katsikas, S., & Liatsis, P. (2008). Electricity demand loads modeling using autoregressive moving average (arma) models. Energy, 33(9), 1353–1360.CrossRef
19.
Pappas, S. S., Ekonomou, L., Karampelas, P., Karamousantas, D., Katsikas, S., Chatzarakis, G., et al. (2010). Electricity demand load forecasting of the hellenic power system using an arma model. Electric Power Systems Research, 80(3), 256–264.CrossRef
20.
Vlachogiannis, J. G. (2009). Probabilistic constrained load flow considering integration of wind power generation and electric vehicles. IEEE Transactions on Power Systems, 24(4), 1808–1817.CrossRef
21.
Kandil, M., El-Debeiky, S., & Hasanien, N. (2001). The implementation of long-term forecasting strategies using a knowledge-based expert system: part-ii. Electric Power Systems Research, 58(1), 19–25.CrossRef
Metadaten
Titel
The Probabilistic Model and Forecasting of Power Load Based on Variational Bayesian Expectation Maximization and Relevance Vector Machine
verfasst von
Wegen Gao
Qigong Chen
Yuan Ge
YiQing Huang
Publikationsdatum
31.01.2018
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2018
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-018-5324-2

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