Short-term Wind Power Prediction Technology Research of Poyang Lake Region

DOI

10.2991/isrme-15.2015.40How to use a DOI?

Keywords

Poyang Lake Region, Short-term Wind Power Prediction, Artificial Neural Networks

Abstract

Artificial neural network(ANN) has very strong robustness and fault tolerance, computing speed is fast, has the self-organizing, self-learning and adaptive ability, and can be fully approximation to arbitrary complex nonlinear relationship, so has been widely used in wind power prediction. This document explains and demonstrates how to get the reasonable prediction results by numerical weather prediction(NWP) mode with ANN. The actual measured data for a wind farm in Poyang Lake in Jiangxi Province is given as an example. The prediction results can meet the requirements of engineering application. So the prediction method has better prediction effect and can guide field operation.

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  - Shunhua Zhang
AU  - Xiaopin Yang
AU  - Zhiying Zhao
PY  - 2015/04
DA  - 2015/04
TI  - Short-term Wind Power Prediction Technology Research of Poyang Lake Region
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 174
EP  - 177
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.40
DO  - 10.2991/isrme-15.2015.40
ID  - Zhang2015/04
ER  -