Power Load Forecasting Using Improved Grey-Markov Method

Jie Xu; Yuan Sheng Huang

doi:10.4028/www.scientific.net/AMR.1006-1007.976

Paper Titles

Transient Responses in Continuous Co-Phase Traction Power Supply System
p.955

Vehicle Display and Control Terminal Design Based on the MPC5121e and Embedded Linux
p.962

A Single-Phase / Three-Phase Transformer Designed for Voltage Detection Unit of 400Hz Converter Excitation Regulator
p.967

Discussion on Key Issues of High-Resolution Panel Driver IC Design
p.972

Power Load Forecasting Using Improved Grey-Markov Method
p.976

Development of the Multi-Purpose Signal Producer which Simulated a Train Passing
p.982

Reconfigurable Boundary Scan Tester Using Cellular-Automata Register Technology
p.986

Influence of Structure of Electrode Array on Logging. The Resistivity Logging Response through Casing of Structure of Electrode Array
p.990

The Influence of Ferrite Materials to NFC Antenna
p.994

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1006-1007Power Load Forecasting Using Improved Grey-Markov...

Power Load Forecasting Using Improved Grey-Markov Method

Abstract:

Power load forecasting is an important part of management modernization of power system. Accurate load forecasting can provide reliable guidance for grid operation and power construction planning. For load forecasting "small sample", "poor information", "uncertain", "non-linear" and other features, In this paper, GM (1.1) model was improved in the gray system theory, by constructing the background value sequence to transform the original data, using gray rolling GM (1.1) model and combining Markov prediction model to make power load forecasting. The application results show that this method is accurate and practicable.

You might also be interested in these eBooks

Advanced Manufacturing and Industrial Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 1006-1007)

Pages:

976-981

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1006-1007.976

Citation:

Cite this paper

Online since:

August 2014

Authors:

Jie Xu, Yuan Sheng Huang

Keywords:

Improved Grey-Markov Forecasting Model, Load Forecasting, Power System

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Niu Dongxiao, Cao Shuhua, Lu Jianchang. Power load forecasting technology and its applications. Beijing: China electric power press, (2009).

Google Scholar

[2] Zhang Youquan. Middle and long term power consumption forecasting model based on grey system theory. Power system technology, 1999, 23 (8): 47-50.

Google Scholar

[3] Zhu Changqing, etc. A Novel Load Forecasting Method Based on Grey Relational Weighing Combination Model. Proceedings of the CSU-EPSA, 2006, 18 (2): 79-81.

Google Scholar

[4] Deng Julong. Grey Prediction and Decision, Wuhan: Huazhong University Press, (1986).

Google Scholar

[5] Wang Zewen, Zhang Wen, Qiu Shufang. Improvement of Grey-Markov Model and Computational Methods of Its Parameters. Mathematics in practice and theory, 2009, 39(1): 125-131.

Google Scholar

[6] Li Min, etc. Combination Load Forecast with Time-varying Weights Based on Markov Chain. Proceedings of the CSU-EPSA, 2011, 23 (2): 131-134.

Google Scholar

[7] Xia Huiming, Wang Zhigang, Wu Jinlin. Nonlinear Regression in Power Load Forecasting Based on Grey Model. Science Technology and Engineering, 2012, 12(23): 5884-5887.

Google Scholar