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/).
Cite this article
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 -