电力系统保护与控制2011，Vol.39Issue(2)：88-93,111,7.
基于改进GMDH网络的风电场短期风速预测
Short-term wind speed forecasting in wind farm based on improved GMDH network
吴栋梁 1王扬 1郭创新 1杨健2
作者信息
- 1. 浙江大学电气工程学院,浙江,杭州,310027
- 2. 上海市电力公司,上海,200025
- 折叠
摘要
Abstract
Based on traditional GMDH metwork and fuzzy logic theory, the wind speed forecasting in wind farm is analyzed and an improved GMDH neural network is proposed. This method introduces feedback loop to the traditional network and makes the neuron fuzzified. The low-level computational ability of GMDH and the high-level reasoning ability of fuzzy logic are combined in the improved network for predicting. Besides, exponential energy function is taken into network training as the objective error function,which improves the speed of network convergence. Comparing the forecasting result by the proposed method with those from BP neural network and traditional GMDH network, the accuracy of the improved method in short-term wind speed forecasting is proved effectively.关键词
GMDH网络/模糊逻辑/反馈/短期风速预测Key words
GMDH network/ fuzzy logic/ feedback/ short-term wind speed forecasting分类
信息技术与安全科学引用本文复制引用
吴栋梁,王扬,郭创新,杨健..基于改进GMDH网络的风电场短期风速预测[J].电力系统保护与控制,2011,39(2):88-93,111,7.
