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1.发明授权公开(公告)号：US10521525B2
公开(公告)日：2019-12-31
申请号：US15412306
申请日：2017-01-23
发明人： Aanchal Goyal , Fook-Luen Heng , Younghun Kim , Tarun Kumar , Mark A. Lavin , Srivats Shukla , Wander S. Wadman , Kevin Warren
摘要： Embodiments herein relate to improving a stochastic forecast for uncertain power generations and demands to quantify an effect on an electrical power grid. To improve the stochastic forecast, a method includes fitting marginal distributions to data of the uncertain power generation and demand by power generation and demand nodes of the electrical power grid. The power generation and demand nodes provide corresponding uncertain power generation and demand based on a renewable energy source. The method also includes determining a correlation structure between the power generation and demand nodes by transforming the data from marginal distributions to a second distribution and by fitting a multivariate time series on transformed data. The method also includes simulating multivariate stochastic forecast with an improved correlation structure.
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公开(公告)号：US20170017904A1
公开(公告)日：2017-01-19
申请号：US15287846
申请日：2016-10-07
发明人： Fook-Luen Heng , Zhiguo Li , Stuart A. Siegel , Amith Singhee , Haijing Wang
CPC分类号： G06N20/00 , G01W1/10 , G06N5/04 , G06N7/005 , G06Q10/06315
摘要： A method, system, and computer program product for resource management are described. The method includes selecting trouble regions within the service area, generating clustered regions, and training a trouble forecast model for the trouble regions for each type of damage, the training for each trouble region using training data from every trouble region within the clustered region associated with the trouble region. The method also includes applying the trouble forecast model for each trouble region within the service area for each type of damage, determining a trouble forecast for the service area for each type of damage based on the trouble forecast for each of the trouble regions within the service area, and determining a job forecast for the service area based on the trouble forecast for the service area, wherein the managing resources is based on the job forecast for the service area.
摘要翻译： 描述了用于资源管理的方法，系统和计算机程序产品。 该方法包括：选择服务区内的故障区域，生成群集区域，并针对每种类型的损坏对故障区域进行故障预测模型的训练;对每个故障区域进行训练，使用与该区域内相关联的群集区域内的每个故障区域的训练数据 麻烦地区。 该方法还包括针对每种类型的损伤对服务区域内的每个故障区域应用故障预测模型，基于针对服务中的每个故障区域的故障预测来确定针对每种类型的损坏的服务区域的故障预测 区域，并且基于针对服务区域的故障预测确定服务区域的作业预测，其中所述管理资源基于所述服务区域的作业预测。
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公开(公告)号：US09536214B2
公开(公告)日：2017-01-03
申请号：US15075603
申请日：2016-03-21
发明人： Fook-Luen Heng , Zhiguo Li , Stuart A. Siegel , Amith Singhee , Haijing Wang
CPC分类号： G06N99/005 , G01W1/10 , G06N5/04 , G06N7/005 , G06Q10/06315
摘要： A method, system, and computer program product for resource management are described. The method includes selecting trouble regions within the service area, generating clustered regions, and training a trouble forecast model for the trouble regions for each type of damage, the training for each trouble region using training data from every trouble region within the clustered region associated with the trouble region. The method also includes applying the trouble forecast model for each trouble region within the service area for each type of damage, determining a trouble forecast for the service area for each type of damage based on the trouble forecast for each of the trouble regions within the service area, and determining a job forecast for the service area based on the trouble forecast for the service area, wherein the managing resources is based on the job forecast for the service area.
摘要翻译： 描述了用于资源管理的方法，系统和计算机程序产品。 该方法包括：选择服务区内的故障区域，生成群集区域，并针对每种类型的损坏对故障区域进行故障预测模型的训练，对每个故障区域进行训练，使用与该区域相关联的群集区域内的每个故障区域的训练数据 麻烦地区。 该方法还包括针对每种类型的损伤对服务区域内的每个故障区域应用故障预测模型，基于针对服务中的每个故障区域的故障预测来确定针对每种类型的损坏的服务区域的故障预测 区域，并且基于针对服务区域的故障预测确定服务区域的作业预测，其中所述管理资源基于所述服务区域的作业预测。
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公开(公告)号：US20160306075A1
公开(公告)日：2016-10-20
申请号：US15002494
申请日：2016-01-21
发明人： Fook-Luen Heng , Zhiguo Li , Stuart A. Siegel , Amith Singhee , Haijing Wang
CPC分类号： G06N20/00 , G01W1/10 , G06N5/04 , G06N7/005 , G06Q10/06315
摘要： A method, system, and computer program product for resource management are described. The method includes selecting trouble regions within the service area, generating clustered regions, and training a trouble forecast model for the trouble regions for each type of damage, the training for each trouble region using training data from every trouble region within the clustered region associated with the trouble region. The method also includes applying the trouble forecast model for each trouble region within the service area for each type of damage, determining a trouble forecast for the service area for each type of damage based on the trouble forecast for each of the trouble regions within the service area, and determining a job forecast for the service area based on the trouble forecast for the service area, wherein the managing resources is based on the job forecast for the service area.
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5.发明申请公开(公告)号：US20180210976A1
公开(公告)日：2018-07-26
申请号：US15412306
申请日：2017-01-23
发明人： Aanchal Goyal , Fook-Luen Heng , Younghun Kim , Tarun Kumar , Mark A. Lavin , Srivats Shukla , Wander S. Wadman , Kevin Warren
IPC分类号： G06F17/50
摘要： Embodiments herein relate to improving a stochastic forecast for uncertain power generations and demands to quantify an effect on an electrical power grid. To improve the stochastic forecast, a method includes fitting marginal distributions to data of the uncertain power generation and demand by power generation and demand nodes of the electrical power grid. The power generation and demand nodes provide corresponding uncertain power generation and demand based on a renewable energy source. The method also includes determining a correlation structure between the power generation and demand nodes by transforming the data from marginal distributions to a second distribution and by fitting a multivariate time series on transformed data. The method also includes simulating multivariate stochastic forecast with an improved correlation structure.
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公开(公告)号：US20160307138A1
公开(公告)日：2016-10-20
申请号：US15075603
申请日：2016-03-21
发明人： Fook-Luen Heng , Zhiguo Li , Stuart A. Siegel , Amith Singhee , Haijing Wang
CPC分类号： G06N99/005 , G01W1/10 , G06N5/04 , G06N7/005 , G06Q10/06315
摘要： A method, system, and computer program product for resource management are described. The method includes selecting trouble regions within the service area, generating clustered regions, and training a trouble forecast model for the trouble regions for each type of damage, the training for each trouble region using training data from every trouble region within the clustered region associated with the trouble region. The method also includes applying the trouble forecast model for each trouble region within the service area for each type of damage, determining a trouble forecast for the service area for each type of damage based on the trouble forecast for each of the trouble regions within the service area, and determining a job forecast for the service area based on the trouble forecast for the service area, wherein the managing resources is based on the job forecast for the service area.
摘要翻译： 描述了用于资源管理的方法，系统和计算机程序产品。 该方法包括：选择服务区内的故障区域，生成群集区域，并针对每种类型的损坏对故障区域进行故障预测模型的训练;对每个故障区域进行训练，使用与该区域内相关联的群集区域内的每个故障区域的训练数据 麻烦地区。 该方法还包括针对每种类型的损伤对服务区域内的每个故障区域应用故障预测模型，基于针对服务中的每个故障区域的故障预测来确定针对每种类型的损坏的服务区域的故障预测 区域，并且基于针对服务区域的故障预测确定服务区域的作业预测，其中所述管理资源基于所述服务区域的作业预测。
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公开(公告)号：US20160285693A1
公开(公告)日：2016-09-29
申请号：US14950219
申请日：2015-11-24
发明人： Ulrich A. Finkler , Fook-Luen Heng , Steven N. Hirsch , Mark A. Lavin , Jun Mei Qu , Amith Singhee , Wei Wu
IPC分类号： H04L12/24
CPC分类号： H04L41/12 , H04L41/145 , H04L41/22
摘要： A method, system, and computer program product to manage a network comprising a plurality of interconnected components are described. The method includes obtaining a set of all the components that are part of the network over time, and identifying one or more repeating patterns of components among the set of all the components as corresponding lower-level definitions to generate a hierarchical set of all the components. The method also includes obtaining time-varying information regarding topology and operational values within the network, and creating a representation of the network at a set of times based on the hierarchical set of all the components and the time-varying information.
摘要翻译： 描述了用于管理包括多个互连组件的网络的方法，系统和计算机程序产品。 该方法包括获得作为网络的一部分的所有组件的集合，并将所有组件中的组件的一个或多个重复模式识别为对应的下级定义，以生成所有组件的分层集合 。 该方法还包括获得关于网络内的拓扑和操作值的时变信息，以及基于所有组件和时变信息的分层集合在一组时间创建网络的表示。
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公开(公告)号：US20160285692A1
公开(公告)日：2016-09-29
申请号：US14856652
申请日：2015-09-17
发明人： Ulrich A. Finkler , Fook-Luen Heng , Steven N. Hirsch , Mark A. Lavin , Jun Mei Qu , Amith Singhee , Wei Wu
IPC分类号： H04L12/24
CPC分类号： H04L41/12 , H04L41/145 , H04L41/22
摘要： A method, system, and computer program product to manage a network comprising a plurality of interconnected components are described. The method includes obtaining a set of all the components that are part of the network over time, and identifying one or more repeating patterns of components among the set of all the components as corresponding lower-level definitions to generate a hierarchical set of all the components. The method also includes obtaining time-varying information regarding topology and operational values within the network, and creating a representation of the network at a set of times based on the hierarchical set of all the components and the time-varying information.
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