Current methodologies for cleaning wind power anomaly data exhibit limited capabilities in identifying abnormal data within extensive datasets and struggle to accommodate the considerable variability and intricacy of ...Current methodologies for cleaning wind power anomaly data exhibit limited capabilities in identifying abnormal data within extensive datasets and struggle to accommodate the considerable variability and intricacy of wind farm data.Consequently,a method for cleaning wind power anomaly data by combining image processing with community detection algorithms(CWPAD-IPCDA)is proposed.To precisely identify and initially clean anomalous data,wind power curve(WPC)images are converted into graph structures,which employ the Louvain community recognition algorithm and graph-theoretic methods for community detection and segmentation.Furthermore,the mathematical morphology operation(MMO)determines the main part of the initially cleaned wind power curve images and maps them back to the normal wind power points to complete the final cleaning.The CWPAD-IPCDA method was applied to clean datasets from 25 wind turbines(WTs)in two wind farms in northwest China to validate its feasibility.A comparison was conducted using density-based spatial clustering of applications with noise(DBSCAN)algorithm,an improved isolation forest algorithm,and an image-based(IB)algorithm.The experimental results demonstrate that the CWPAD-IPCDA method surpasses the other three algorithms,achieving an approximately 7.23%higher average data cleaning rate.The mean value of the sum of the squared errors(SSE)of the dataset after cleaning is approximately 6.887 lower than that of the other algorithms.Moreover,the mean of overall accuracy,as measured by the F1-score,exceeds that of the other methods by approximately 10.49%;this indicates that the CWPAD-IPCDA method is more conducive to improving the accuracy and reliability of wind power curve modeling and wind farm power forecasting.展开更多
目的:筛选归纳出生脉注射液治疗老年心血管病病因及并发症的临床联合用药组合方案。方法:提取全国24家三甲医院信息系统(hospital information system,HIS)数据库中使用生脉注射液治疗的6382名老年心血管病患者的用药信息,利用Louvain...目的:筛选归纳出生脉注射液治疗老年心血管病病因及并发症的临床联合用药组合方案。方法:提取全国24家三甲医院信息系统(hospital information system,HIS)数据库中使用生脉注射液治疗的6382名老年心血管病患者的用药信息,利用Louvain算法对数据进行复杂网络分析。结果:针对病因治疗可以应用生脉注射液联合降压降糖降脂和扩冠抗栓类药物;合并呼吸道感染的患者,可以应用“生脉注射液+莫西沙星+痰热清注射液+盐酸氨溴索”清热化痰抗感染;合并胃部溃疡的患者,可以应用“生脉注射液+奥美拉唑”抑酸止痛;合并恶心呕吐的患者,可以应用“生脉注射液+甲氧氯普胺+脂肪乳”和胃止呕;合并水肿的患者,可以应用生脉注射液+螺内酯+呋塞米+参附注射液利水消肿。结论:生脉注射液联合其他中成药和西药治疗老年心血管病体现了中西结合治疗的优势,文章同时探讨了中成药在老年心血管病便秘人群中的应用以及老年心血管病人群的用药特点,有利于今后更好的展开老年心血管病个体化综合治疗。展开更多
针对城市区域的复杂性和多变性,提出了一个级联城市区域分析框架(cascaded urban area analysis framework,CUAAF),用来对城市区域进行时空聚类分析.首先,将城市区域划分为多个地理栅格.其次,采用新的区域时空行为指标(areabehaviorinde...针对城市区域的复杂性和多变性,提出了一个级联城市区域分析框架(cascaded urban area analysis framework,CUAAF),用来对城市区域进行时空聚类分析.首先,将城市区域划分为多个地理栅格.其次,采用新的区域时空行为指标(areabehaviorindex,ABI)评估任意2个栅格之间的相关性.接着,用Louvain算法对相应的栅格网络进行分析,得到聚类区域.在得到聚类区域后,可再次将该区域输入CUAAF框架,进行级联分析,得到更多分层信息.级联实验可以采用多种指标分析城市区域,从不同层次了解城市区域,获得更详细的城市区域信息.最后,分别用周中周末的数据做了对比实验,结果显示本文方法具有稳健性和数据敏感性.展开更多
基金supported by the National Natural Science Foundation of China(Project No.51767018)Natural Science Foundation of Gansu Province(Project No.23JRRA836).
文摘Current methodologies for cleaning wind power anomaly data exhibit limited capabilities in identifying abnormal data within extensive datasets and struggle to accommodate the considerable variability and intricacy of wind farm data.Consequently,a method for cleaning wind power anomaly data by combining image processing with community detection algorithms(CWPAD-IPCDA)is proposed.To precisely identify and initially clean anomalous data,wind power curve(WPC)images are converted into graph structures,which employ the Louvain community recognition algorithm and graph-theoretic methods for community detection and segmentation.Furthermore,the mathematical morphology operation(MMO)determines the main part of the initially cleaned wind power curve images and maps them back to the normal wind power points to complete the final cleaning.The CWPAD-IPCDA method was applied to clean datasets from 25 wind turbines(WTs)in two wind farms in northwest China to validate its feasibility.A comparison was conducted using density-based spatial clustering of applications with noise(DBSCAN)algorithm,an improved isolation forest algorithm,and an image-based(IB)algorithm.The experimental results demonstrate that the CWPAD-IPCDA method surpasses the other three algorithms,achieving an approximately 7.23%higher average data cleaning rate.The mean value of the sum of the squared errors(SSE)of the dataset after cleaning is approximately 6.887 lower than that of the other algorithms.Moreover,the mean of overall accuracy,as measured by the F1-score,exceeds that of the other methods by approximately 10.49%;this indicates that the CWPAD-IPCDA method is more conducive to improving the accuracy and reliability of wind power curve modeling and wind farm power forecasting.
文摘目的:筛选归纳出生脉注射液治疗老年心血管病病因及并发症的临床联合用药组合方案。方法:提取全国24家三甲医院信息系统(hospital information system,HIS)数据库中使用生脉注射液治疗的6382名老年心血管病患者的用药信息,利用Louvain算法对数据进行复杂网络分析。结果:针对病因治疗可以应用生脉注射液联合降压降糖降脂和扩冠抗栓类药物;合并呼吸道感染的患者,可以应用“生脉注射液+莫西沙星+痰热清注射液+盐酸氨溴索”清热化痰抗感染;合并胃部溃疡的患者,可以应用“生脉注射液+奥美拉唑”抑酸止痛;合并恶心呕吐的患者,可以应用“生脉注射液+甲氧氯普胺+脂肪乳”和胃止呕;合并水肿的患者,可以应用生脉注射液+螺内酯+呋塞米+参附注射液利水消肿。结论:生脉注射液联合其他中成药和西药治疗老年心血管病体现了中西结合治疗的优势,文章同时探讨了中成药在老年心血管病便秘人群中的应用以及老年心血管病人群的用药特点,有利于今后更好的展开老年心血管病个体化综合治疗。
文摘针对城市区域的复杂性和多变性,提出了一个级联城市区域分析框架(cascaded urban area analysis framework,CUAAF),用来对城市区域进行时空聚类分析.首先,将城市区域划分为多个地理栅格.其次,采用新的区域时空行为指标(areabehaviorindex,ABI)评估任意2个栅格之间的相关性.接着,用Louvain算法对相应的栅格网络进行分析,得到聚类区域.在得到聚类区域后,可再次将该区域输入CUAAF框架,进行级联分析,得到更多分层信息.级联实验可以采用多种指标分析城市区域,从不同层次了解城市区域,获得更详细的城市区域信息.最后,分别用周中周末的数据做了对比实验,结果显示本文方法具有稳健性和数据敏感性.
