Multi-dimensional and Multi-level Optimization Technology for Station-level Power Prediction of Mountain Wind Farms
Author:
Affiliation:
1. Shanxi Longyuan New Energy Co., Ltd.,Taiyuan City,Shanxi Province,China
2. Longyuan (Beijing) Wind Power Engineering Technology Co., Ltd.,Beijing,China,100000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10428934/10429048/10429449.pdf?arnumber=10429449
Reference20 articles.
1. Wind power prediction based on outlier correction, ensemble reinforcement learning, and residual correction
2. A data-driven deep sequence-to-sequence long-short memory method along with a gated recurrent neural network for wind power forecasting
3. Detecting, categorizing and forecasting large ramps in wind farm power output using meteorological observations and WPPT
4. Review on Wind Mapping Service of Wind Resource Consulting Companies[J];Kim;New & Renewable Energy,2010
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