Short-term wind power prediction based on time series analysis model

DOI

10.2991/iccsee.2013.111How to use a DOI?

Keywords

wind power, power forecast, time series method

Abstract

In this paper, three kinds of prediction models based on time series analysis method are studied. Largely the process of building the wind farm short-term power forecasting model is discussed, mainly including sequence preprocessing, model identification, model order judging, parameter estimation, model testing and so on. It focuses on wind power short-term generation forecasting combined with the specific example using time series method. The example demonstrates the effectiveness and usefulness of the model.

Copyright

© 2013, 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/).

Download article (PDF)

TY  - CONF
AU  - Xiaodan Wu
AU  - Wenying Liu
AU  - Ningbo Wang
AU  - Yanhong Ma
PY  - 2013/03
DA  - 2013/03
TI  - Short-term wind power prediction based on time series analysis model
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 434
EP  - 436
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.111
DO  - 10.2991/iccsee.2013.111
ID  - Wu2013/03
ER  -