Time series modeling and filtering method of electric power load stochastic noise

Author:

Huang Li,Yang Yongbiao,Zhao Honglei,Wang Xudong,Zheng Hongjuan

Funder

State Grid Company Headquarter Technology Project

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality

Reference17 articles.

1. Qian, C. H. E. N., Wenying, H. U. A. N. G., Cheng, L. I., et al. (2008). Component based on-line modeling for electric loads [J]. Automation of Electric Power Systems, 32(2), 7–10.

2. Yang, G. A. O. (2009). The white noise separation in “mechanism model + identification model” strategy for short time micro-grid load forecasting [D]. Tianjin University.

3. Yundong, G. U., Sujie, Z. H. A. N. G., & Junshu, F. E. N. G. (2015). Multi-model fuzzy synthesis forecasting of electric power loads for larger consumers [J]. Transactions of China Electrotechnical Society, 30(23), 110–115.

4. Shuqing, Z. H. A. N. G., Rongyan, S. H. I., & Liguo, Z. H. A. N. G. (2016). Improvement of chaotic application in power forecasting model and its daily load forecasting [J]. Chinese Journal of Scientific Instrument, 37(1), 208–214.

5. Chuanping, X. I. O. N. G., Junjie, C. A. O., Qian, C. H. E. N., et al. (2011). A wavelet-based method for de-noising data of electric load modeling [J]. Journal of Hohai University (Natural Sciences), 39(4), 470–473.

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