基于智能技术的风功率预测模型分析
Analysis of Wind Power Prediction Model Based on Intelligent Technology
周讯杰1
作者信息
- 1. 扬州大学电气与能源动力工程学院,江苏 225127
- 折叠
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.
Abstract
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.
关键词
机器学习/深度学习/模型优化/风功率预测Key words
machine learning/deep learning/model optimization/wind power prediction引用本文复制引用
出版年
2024
NETL
NSTL
万方数据