Using Neural Network Technology in Long Term Wind Power Forecasting in Kinmen Wind Farm
碩士 === 國立臺灣師範大學 === 工業教育學系 === 102 === The wind turbine systems are unstable power sources. The main reason is that their power outputs heavily depend on wind speed. However, terrain, temperature, humidity and other factors affect wind speed. Therefore, wind power forecasting is a very complex, mult...
Main Authors: | Ping-Yuan Lu, 盧苹源 |
---|---|
Other Authors: | Yih-Guang Leu |
Format: | Others |
Language: | zh-TW |
Published: |
2014
|
Online Access: | http://ndltd.ncl.edu.tw/handle/13731933819138056219 |
Similar Items
-
Short-term Power Forecasting Method and Application of Wind Farm
by: Yang Xiaohu, et al.
Published: (2018-01-01) -
Effective Short-term Forecasting of Wind Farms Power
by: Elżbieta Bogalecka, et al.
Published: (2015-09-01) -
Wind Farm Power Forecasting
by: Nabiha Haouas, et al.
Published: (2013-01-01) -
Short-Term Wind Power Forecasting at the Wind Farm Scale Using Long-Range Doppler LiDAR
by: Mathieu Pichault, et al.
Published: (2021-05-01) -
Performance Improvement of Artificial Neural Network Model in Short-term Forecasting of Wind Farm Power Output
by: Sergio Velazquez Medina, et al.
Published: (2020-01-01)