Power Load Forecasting Model Based on Grey Neural Network Regression Combination

Guozhen Ma; Ning Pang; Zeya Zhang; Yongli Wang; Chen Liu; Suhang Yao; Siyi Tao

doi:10.1051/e3sconf/202021303006

All issues

Volume 213 (2020)

E3S Web Conf., 213 (2020) 03006

References

Open Access

Issue		E3S Web Conf. Volume 213, 2020 2^nd International Conference on Applied Chemistry and Industrial Catalysis (ACIC 2020)


Article Number		03006
Number of page(s)		4
Section		Environmental Chemical Research and Energy-saving Technology Application
DOI		https://doi.org/10.1051/e3sconf/202021303006
Published online		01 December 2020

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[1] Kang C.Q., Xia Q., Liu M. (2017) Power system load forecasting. M. Beijing: China Electric Power Press. [Google Scholar]

[2] Kuster C., Rezgui Y., Mourshed M. (2017) Electrical load forecasting models: a critical systematic review. J. Sustainable Cities & Society, 35. [Google Scholar]

[3] Huang J.B. (2019) Analysis of load development characteristics of urban complex based on trend extrapolation method. J. Rural Electrification, (07): 39-42. [Google Scholar]

[4] Zhao S., Cheng D., Chen Y., Jia Y. (2020) A time series based material forecasting method for distribution network. J. Zhejiang Electric Power, 39 (04): 52-56. [Google Scholar]

[5] Wu F.H., Yang J.W. (2004) Several load forecasting methods and their comparison. J. Guangdong Electric Power, (01): 17-21. [Google Scholar]

[6] Geeta P., Bhim S., Bijaya K.P. (2016) Backpropagation algo-rithm-based controller for autonomous Wind-DG microgrid. J. IEEE Transactions on Industry Applications, 52 (5): 4408-4415. [CrossRef] [Google Scholar]

[7] Fuxg, Lish, Michael F., etc. (2015) Training recurrent neu-ral net works with the levenbergmarquardt algorithm for optimal control of a gridconnected converter. J. IEEE Transactions on Neural Net Works and Learning Systems, 26 (9): 1900-1912. [CrossRef] [Google Scholar]

[8] Hou Y.l., Li T. (2008) BP neural network target recognition method based on LM optimization algorithm. J. Journal of Detection and Control, 30(1): 53-57. [Google Scholar]