Wind Power Forecasting Using Neural Network
碩士 === 聖約翰科技大學 === 電機工程系碩士班 === 99 === The power generation of wind energy conversion systems (WECS) varies with wind speed. An accurate forecasting method of wind power generation for a WECS can help producer to reduce the risk of loss from investment of WECS. The artificial neural network (ANN) is...
Main Authors: | Chang,Jen-Kung, 張仁恭 |
---|---|
Other Authors: | 張文宇 |
Format: | Others |
Language: | zh-TW |
Published: |
2011
|
Online Access: | http://ndltd.ncl.edu.tw/handle/43198651870616551895 |
Similar Items
-
Wind Speed and Wind Power Forecasting Using Neural Networks and Genetic Algorithms
by: Ching-Ping Wu, et al.
Published: (2007) -
A study of Wind Power Forecasting Using Artificial Neural Network
by: Jhao-Cing Li, et al.
Published: (2013) -
Short-term wind power forecasting using artificial neural networks
by: Svensson, Morgan
Published: (2015) -
Using Neural Network Technology in Long Term Wind Power Forecasting in Kinmen Wind Farm
by: Ping-Yuan Lu, et al.
Published: (2014) -
Frequency Nadir Prediction of Power System with High Wind Penetration after Generators Tripping Using an Artificial Neural Networks
by: Ming-Jen Chang, et al.
Published: (2013)