Research of combination of electricity GM (1,1) and seasonal time series forecasting model

DOI

10.2991/icitmi-15.2015.45How to use a DOI?

Keywords

load forecasting; GM (1,1); seasonal time series; combination forecasting model

Abstract

Load forecasting is one of the important content of power system. Gray GM (1,1) model with seasonal time series was proposed by analyzing the development of the electricity load forecasting. This paper made an empirical analysis of the model with data specifically related to electricity in Guizhou region in recent years. The results showed that the proposed method has a higher accuracy than a single prediction model, and proved correctness and effectiveness of the combination forecasting model.

Copyright

© 2015, 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  - Yuping Wang
AU  - Fangpeng Zheng
AU  - Kelei He
AU  - Chunxue Li
PY  - 2015/10
DA  - 2015/10
TI  - Research of combination of electricity GM (1,1) and seasonal time series forecasting model
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 261
EP  - 267
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.45
DO  - 10.2991/icitmi-15.2015.45
ID  - Wang2015/10
ER  -