Electricity load forecasting in smart grid based on residual GM (1, 1) model

Jianxin Shen; Haijiang Wang; Shanlin Yang

doi:10.1007/978-3-319-01273-5_106

Electricity load forecasting in smart grid based on residual GM (1, 1) model

Jianxin Shen
, Haijiang Wang
, Shanlin Yang

Hefei University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The construction of smart grid has put forward higher requirements on deployment accuracy of the energy. Power generation and electricity sectors have carried out more accurate data analysis and forecasting. In this context, a residual GM (1, 1) model is proposed. This model can overcome the lack of traditional grey model and make accurate forecasting of electricity consumption in smart grid. Finally, numerical examples demonstrate that this method can efficiently improve the prediction accuracy.

Original language	English
Title of host publication	Proceedings of the 2013 International Conference on Mechatronics and Automatic Control Systems, ICMS 2013
Publisher	Springer Verlag
Pages	941-946
Number of pages	6
ISBN (Print)	9783319012728
DOIs	https://doi.org/10.1007/978-3-319-01273-5_106
State	Published - 2014
Externally published	Yes
Event	2013 International Conference on Mechatronics and Automatic Control Systems, ICMS 2013 - Hangzhou, China Duration: 10 Aug 2013 → 11 Aug 2013

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	237 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	2013 International Conference on Mechatronics and Automatic Control Systems, ICMS 2013
Country/Territory	China
City	Hangzhou
Period	10/08/13 → 11/08/13

Keywords

Electricity load forecasting
Residual GM (1,1) model
Smart grid

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-01273-5_106

Cite this

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title = "Electricity load forecasting in smart grid based on residual GM (1, 1) model",

abstract = "The construction of smart grid has put forward higher requirements on deployment accuracy of the energy. Power generation and electricity sectors have carried out more accurate data analysis and forecasting. In this context, a residual GM (1, 1) model is proposed. This model can overcome the lack of traditional grey model and make accurate forecasting of electricity consumption in smart grid. Finally, numerical examples demonstrate that this method can efficiently improve the prediction accuracy.",

keywords = "Electricity load forecasting, Residual GM (1,1) model, Smart grid",

author = "Jianxin Shen and Haijiang Wang and Shanlin Yang",

year = "2014",

doi = "10.1007/978-3-319-01273-5\_106",

language = "英语",

isbn = "9783319012728",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "941--946",

booktitle = "Proceedings of the 2013 International Conference on Mechatronics and Automatic Control Systems, ICMS 2013",

note = "2013 International Conference on Mechatronics and Automatic Control Systems, ICMS 2013 ; Conference date: 10-08-2013 Through 11-08-2013",

}

Shen, J, Wang, H & Yang, S 2014, Electricity load forecasting in smart grid based on residual GM (1, 1) model. in Proceedings of the 2013 International Conference on Mechatronics and Automatic Control Systems, ICMS 2013. Lecture Notes in Electrical Engineering, vol. 237 LNEE, Springer Verlag, pp. 941-946, 2013 International Conference on Mechatronics and Automatic Control Systems, ICMS 2013, Hangzhou, China, 10/08/13. https://doi.org/10.1007/978-3-319-01273-5_106

Electricity load forecasting in smart grid based on residual GM (1, 1) model. / Shen, Jianxin; Wang, Haijiang; Yang, Shanlin.
Proceedings of the 2013 International Conference on Mechatronics and Automatic Control Systems, ICMS 2013. Springer Verlag, 2014. p. 941-946 (Lecture Notes in Electrical Engineering; Vol. 237 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Electricity load forecasting in smart grid based on residual GM (1, 1) model

AU - Shen, Jianxin

AU - Wang, Haijiang

AU - Yang, Shanlin

PY - 2014

Y1 - 2014

N2 - The construction of smart grid has put forward higher requirements on deployment accuracy of the energy. Power generation and electricity sectors have carried out more accurate data analysis and forecasting. In this context, a residual GM (1, 1) model is proposed. This model can overcome the lack of traditional grey model and make accurate forecasting of electricity consumption in smart grid. Finally, numerical examples demonstrate that this method can efficiently improve the prediction accuracy.

AB - The construction of smart grid has put forward higher requirements on deployment accuracy of the energy. Power generation and electricity sectors have carried out more accurate data analysis and forecasting. In this context, a residual GM (1, 1) model is proposed. This model can overcome the lack of traditional grey model and make accurate forecasting of electricity consumption in smart grid. Finally, numerical examples demonstrate that this method can efficiently improve the prediction accuracy.

KW - Electricity load forecasting

KW - Residual GM (1,1) model

KW - Smart grid

UR - https://www.scopus.com/pages/publications/84893726396

U2 - 10.1007/978-3-319-01273-5_106

DO - 10.1007/978-3-319-01273-5_106

M3 - 会议稿件

AN - SCOPUS:84893726396

SN - 9783319012728

T3 - Lecture Notes in Electrical Engineering

SP - 941

EP - 946

BT - Proceedings of the 2013 International Conference on Mechatronics and Automatic Control Systems, ICMS 2013

PB - Springer Verlag

T2 - 2013 International Conference on Mechatronics and Automatic Control Systems, ICMS 2013

Y2 - 10 August 2013 through 11 August 2013

ER -

Electricity load forecasting in smart grid based on residual GM (1, 1) model

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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