Considering the instability of the output power of photovoltaic(PV)generation system,to improve the power regulation ability of PV power during grid-connected operation,based on the quantitative analysis of meteorolog...Considering the instability of the output power of photovoltaic(PV)generation system,to improve the power regulation ability of PV power during grid-connected operation,based on the quantitative analysis of meteorological conditions,a short-term prediction method of PV power based on LMD-EE-ESN with iterative error correction was proposed.Firstly,through the fuzzy clustering processing of meteorological conditions,taking the power curves of PV power generation in sunny,rainy or snowy,cloudy,and changeable weather as the reference,the local mean decomposition(LMD)was carried out respectively,and their energy entropy(EE)was taken as the meteorological characteristics.Then,the historical generation power series was decomposed by LMD algorithm,and the hierarchical prediction of the power curve was realized by echo state network(ESN)prediction algorithm combined with meteorological characteristics.Finally,the iterative error theory was applied to the correction of power prediction results.The analysis of the historical data in the PV power generation system shows that this method avoids the influence of meteorological conditions in the short-term prediction of PV output power,and improves the accuracy of power prediction on the condition of hierarchical prediction and iterative error correction.展开更多
为了简化医院发票报销流程,提高财务管理效率,基于J2EE平台和改进ResNet模型构建医院智能化财务报销管理系统。系统在HTML、Java、JDBC、SQL Server 2019技术支持下,划分为3个技术层和5个功能模块。针对不同类型发票的报销问题,提出改进...为了简化医院发票报销流程,提高财务管理效率,基于J2EE平台和改进ResNet模型构建医院智能化财务报销管理系统。系统在HTML、Java、JDBC、SQL Server 2019技术支持下,划分为3个技术层和5个功能模块。针对不同类型发票的报销问题,提出改进ResNet模型对发票进行分类识别,从而解决传统卷积神经网络存在过度拟合的缺陷。通过对比各种模型的使用效果,改进ResNet模型参数少,识别准确率更高,在训练时间和测试时间上也相对较少。对系统进行高并发访问情况下的性能检测,结果表明,系统在100人、点击率800次/s的高并发应用情况下,平均响应时间能保持在35 s左右,稳定性较好,可在实际工作中予以应用。展开更多
针对计算机专业在中职升本、专升本和普通本科的不同生源背景下的挑战,本人进行了Java EE框架技术课程的教学改革探索。结合学生特点,在教学设计与实践中,本人不断鼓励学生,培养其学习兴趣,并将理论与实际相结合,开展翻转课堂活动。过...针对计算机专业在中职升本、专升本和普通本科的不同生源背景下的挑战,本人进行了Java EE框架技术课程的教学改革探索。结合学生特点,在教学设计与实践中,本人不断鼓励学生,培养其学习兴趣,并将理论与实际相结合,开展翻转课堂活动。过程性考核方面,本人设计了课堂考核、课后实验报告撰写和课堂管理等多方面内容。课堂考核从基础到综合,用工程思维指导学生实践,并将课程思政融入课堂管理。通过教学平台使用情况、课程通过率和毕业论文选题情况,结果表明改革取得了良好的效果。 Aiming at the challenges of computer science majors in different backgrounds of students from secondary vocational schools to undergraduates, junior colleges to undergraduates and ordinary undergraduates, I explored the teaching reform of Java EE framework technology course. In combination with the characteristics of students, in teaching design and practice, I constantly encouraged students, cultivated their interest in learning, and combined theory with practice to carry out flipped classroom activities. In terms of process assessment, I designed classroom assessment, post-class experimental report writing and classroom management. Classroom assessment ranges from basic to comprehensive, using engineering thinking to guide students’ practice, and integrating curriculum ideological and political education into classroom management. Through the use of teaching platforms, course pass rates and graduation thesis selection, the results show that the reform has achieved good results.展开更多
基金supported by National Natural Science Foundation of China(No.516667017).
文摘Considering the instability of the output power of photovoltaic(PV)generation system,to improve the power regulation ability of PV power during grid-connected operation,based on the quantitative analysis of meteorological conditions,a short-term prediction method of PV power based on LMD-EE-ESN with iterative error correction was proposed.Firstly,through the fuzzy clustering processing of meteorological conditions,taking the power curves of PV power generation in sunny,rainy or snowy,cloudy,and changeable weather as the reference,the local mean decomposition(LMD)was carried out respectively,and their energy entropy(EE)was taken as the meteorological characteristics.Then,the historical generation power series was decomposed by LMD algorithm,and the hierarchical prediction of the power curve was realized by echo state network(ESN)prediction algorithm combined with meteorological characteristics.Finally,the iterative error theory was applied to the correction of power prediction results.The analysis of the historical data in the PV power generation system shows that this method avoids the influence of meteorological conditions in the short-term prediction of PV output power,and improves the accuracy of power prediction on the condition of hierarchical prediction and iterative error correction.
文摘为了简化医院发票报销流程,提高财务管理效率,基于J2EE平台和改进ResNet模型构建医院智能化财务报销管理系统。系统在HTML、Java、JDBC、SQL Server 2019技术支持下,划分为3个技术层和5个功能模块。针对不同类型发票的报销问题,提出改进ResNet模型对发票进行分类识别,从而解决传统卷积神经网络存在过度拟合的缺陷。通过对比各种模型的使用效果,改进ResNet模型参数少,识别准确率更高,在训练时间和测试时间上也相对较少。对系统进行高并发访问情况下的性能检测,结果表明,系统在100人、点击率800次/s的高并发应用情况下,平均响应时间能保持在35 s左右,稳定性较好,可在实际工作中予以应用。
文摘针对计算机专业在中职升本、专升本和普通本科的不同生源背景下的挑战,本人进行了Java EE框架技术课程的教学改革探索。结合学生特点,在教学设计与实践中,本人不断鼓励学生,培养其学习兴趣,并将理论与实际相结合,开展翻转课堂活动。过程性考核方面,本人设计了课堂考核、课后实验报告撰写和课堂管理等多方面内容。课堂考核从基础到综合,用工程思维指导学生实践,并将课程思政融入课堂管理。通过教学平台使用情况、课程通过率和毕业论文选题情况,结果表明改革取得了良好的效果。 Aiming at the challenges of computer science majors in different backgrounds of students from secondary vocational schools to undergraduates, junior colleges to undergraduates and ordinary undergraduates, I explored the teaching reform of Java EE framework technology course. In combination with the characteristics of students, in teaching design and practice, I constantly encouraged students, cultivated their interest in learning, and combined theory with practice to carry out flipped classroom activities. In terms of process assessment, I designed classroom assessment, post-class experimental report writing and classroom management. Classroom assessment ranges from basic to comprehensive, using engineering thinking to guide students’ practice, and integrating curriculum ideological and political education into classroom management. Through the use of teaching platforms, course pass rates and graduation thesis selection, the results show that the reform has achieved good results.
