Research on Marine Photovoltaic Power Forecasting Based on Wavelet Transform and Echo State Network
By:
References
- 1. Li, J.: Solar Energy Application and Prospects in Marine Power Plant, Ship & Ocean Engineering, Vol. 39, no. 4, pp. 70-72, 2010.
- 2. Guo, C., Sun, Y., Yuan, C., Yan, X.: Research on power load flow calculation for photovoltaic-ship power system based on PSAT in International Conference on Renewable Energy Research and Applications, 2015.
- 3. Klemchuk, P., Ezrin, M., Lavigne, G.: Investigation of the degradation and stabilization of EVA-based encapsulant in field-aged solar energy modules, Polymer Degradation & Stability, Vol. 55,no.3,pp.347-365,1997.
- 4. Qiu, Y., Yuan, C., Sun, Y.: Review on the application and research progress of photovoltaics-ship power system, International Conference on Transportation Information and Safety, pp. 523-527, 2015.
- 5. Hirth, L.: Market value of solar power: Is photovoltaics costcompetitive, IET Renewable Power Generation, Vol. 39, no. 1, pp. 37-45, 2015.
- 6. Sun, Y., Yuan, C., Yan, X.: Theoretical model research on I-V characteristics of solar cell under the marine environment, International Conference on Transportation Information and Safety，pp. 877-882, 2015.
- 7. Kanemoto, T.: Dream of marine-topia: New technologies to utilize effectively renewable energies at offshore, Current Applied Physics, Vol. 10, no.2, pp. S4-S8, 2010.
- 8. Green, M.A., Emery, K., Hishikawa, Y.: Solar cell efficiency tables, Progress in Photovoltaics: Research and Applications, Vol.36, no. 18, pp. 346-352, 2010.
- 9. Li, W.C., Shi, Y.: Maximum power tracking photovoltaic power generation system and automatic tracking control research for ship, Ship Science and Technology,Vol.37,no .2,pp.136-139,2015.
- 10. Mahela, O.P., Ola, S.R.: Impact of grid disturbances on the output of grid connected solar photovoltaic system in IEEE Students’ Conference on Electrical, Electronics and Computer Science, 2016.
- 11. Lou, X., Loparo, K.A.: Bearing fault diagnosis based on wavelet transform and fuzzy inference, Mechanical Systems & Signal Processing, Vol. 18, no.5, pp. 1077-1095, 2004.
- 12. Lou, X., Loparo, K.K.: Bearing Fault Diagnosis Based on Wavelet Transform and Fuzzy Inference, Mechanical Systems and Signal Processing, Vol.18,no.5,pp. 1077-1095,2004.
- 13. Shi, Z.W., Min, H.: Ridge regression learning in ESN for chaotic time series prediction, Control & Decision, Vol.22, no.3, pp. 258-257, 2007.
- 14. Malik Z K, Hussain A, Wu Q J.: Multilayered Echo State Machine: A Novel Architecture and Algorithm., IEEE Trans Cybern, Vol.47.no.4,pp. 946-959,2016.
- 15. Shi, G., Liu, D., Wei, Q.: Echo state network-based Q-learning method for optimalbattery control of offices combined with renewable energy, IET Control Theory & Applications, Vol.11,no.7, pp. 915-922,2017.
- 16. Ji, L., Niu, D.X., Wu, H.M..: Daily Peak Load Forecasting Based on Bayesian Framework and Echo State Network, Power System Technology,Vol.36,no.11,pp. 82-86,2012.
- 17. Jaeger H.: Tutorial on Training Recurrent Neural Networks, Covering BPTT, RTRL, EKF, and the “Echo State Network” Approach in German National Research Center for Information Technology, 2002.
- 18. Wang S, Yang X J, Wei C J.: Harnessing Non-linearity by Sigmoid-wavelet Hybrid Echo State Networks (SWHESN) in Intelligent Control and Automation, 2006.
- 19. Peng, Y., Wang, J.M., Peng, X.Y.: Researches on Time Series Prediction with Echo State Networks, Acta Electronica Sinica, Vol.38,no.b02,pp. 148-154,2010.
- 20. Luo, X., Li J., Sun Z.Q.: Review on echo state networks, Journal of University of Science and Technology Beijing Vol.34,no.2,pp. 217-222,2012.
Language: English
Page range: 53 - 59
Published on: Sep 13, 2017
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Related subjects:
© 2017 Du Xinhui, Wang Shuai, Zhang Juan, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.