首页|基于智能技术的风功率预测模型分析

基于智能技术的风功率预测模型分析

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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.
Analysis of Wind Power Prediction Model Based on Intelligent Technology
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.

machine learningdeep learningmodel optimizationwind power prediction

周讯杰

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扬州大学电气与能源动力工程学院,江苏 225127

机器学习 深度学习 模型优化 风功率预测

2024

电子技术
上海市电子学会,上海市通信学会

电子技术

影响因子:0.296
ISSN:1000-0755
年,卷(期):2024.53(10)