摘要
阐述风功率预测模型的准确性直接影响风能的利用效率与电网的稳定性。通过比较不同模型的性能,实现数据特征选择、模型优化与训练方法,提高预测精度。探讨风功率预测模型的发展趋势。
This paper describes that the accuracy of wind power prediction models directly affects the utilization efficiency of wind energy and the stability of the power grid.It improves prediction accuracy by comparing the performance of different models,implementing data feature selection,model optimization,and training methods.It explores the development trend of wind power prediction models.
作者
周讯杰
ZHOU Xunjie(College of Electrical and Energy Power Engineering,Yangzhou University,Jiangsu 225127,China)
出处
《电子技术(上海)》
2024年第10期348-349,共2页
Electronic Technology
关键词
机器学习
深度学习
模型优化
风功率预测
machine learning
deep learning
model optimization
wind power prediction
