Proceedings of the 2016 International Conference on Engineering Management (Iconf-EM 2016)

Improved short term load forecasting of power system based on ARMA model

Authors
Weiheng Wang
Corresponding Author
Weiheng Wang
Available Online January 2017.
DOI
https://doi.org/10.2991/iconfem-16.2016.2How to use a DOI?
Keywords
ARMA model; improved recursive least square method; load forecasting; power system
Abstract
In this paper, the time series analysis method and the improved recursive least square parameter estimation method are used to realize the short-term forecasting of daily load and monthly load of electric power sys-tem based on ARMA model. The method makes up for the shortage of weighted least square method, which guarantees the robustness and convergence speed of the algorithm. It has the characteristics of clear physical concept, small calculation amount and good numerical stability. Simulation results show that the algorithm has good prediction accuracy and can be satisfied with the results.
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Proceedings
2016 International Conference on Engineering Management (Iconf-EM 2016)
Part of series
Advances in Economics, Business and Management Research
Publication Date
January 2017
ISBN
978-94-6252-280-0
ISSN
2352-5428
DOI
https://doi.org/10.2991/iconfem-16.2016.2How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Weiheng Wang
PY  - 2017/01
DA  - 2017/01
TI  - Improved short term load forecasting of power system based on ARMA model
BT  - 2016 International Conference on Engineering Management (Iconf-EM 2016)
PB  - Atlantis Press
SN  - 2352-5428
UR  - https://doi.org/10.2991/iconfem-16.2016.2
DO  - https://doi.org/10.2991/iconfem-16.2016.2
ID  - Wang2017/01
ER  -