EMD-Based Short-term load forecasting

DOI

10.2991/acta-14.2014.34How to use a DOI?

Keywords

EMD, Time series, short-term load forecasting, System Identification Toolbox

Abstract

Based on the characteristics of power load series such as periodic randomness and instability, A new method for short-term load forecasting was presented in this paper. Firstly, the power load series was decomposed into intrinsic mode functions (IMF). Then, according to the traits of each IMF, System Identification Toolbox of Mat lab 7.0 was used in selecting models (AR, MA or ARMA), setting orders, realizing forecasting and reconstructing the predictive values. The simulation was carried out with the data from a grid and the results showed that this method could achieve a high level of precision in forecasting.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shuqin Guo
AU  - Lin Ruan
AU  - Haihong Dong
AU  - Zhenguo Li
AU  - Feihui Liu
AU  - Rui Cao
PY  - 2014/06
DA  - 2014/06
TI  - EMD-Based Short-term load forecasting
BT  - 2014 International Conference on Automatic Control Theory and Application
PB  - Atlantis Press
SP  - 141
EP  - 145
SN  - 2352-5398
UR  - https://doi.org/10.2991/acta-14.2014.34
DO  - 10.2991/acta-14.2014.34
ID  - Guo2014/06
ER  -