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公开(公告)号：US20180013320A1
公开(公告)日：2018-01-11
申请号：US15541806
申请日：2016-01-11
发明人： Brian E. Brooks , Gilles J. Benoit , Yang Lu
CPC分类号： H02J13/0006 , G05B15/02 , G06Q10/06 , G06Q50/06 , H02J13/001 , H02J2003/001 , H02J2003/007 , Y02E60/76 , Y04S10/40 , Y04S10/525 , Y04S40/22
摘要： Systems and methods for automatically selecting actions to take on a utility grid to simultaneously reduce uncertainty while selecting actions that improve one or more effectiveness metrics. Grid action effects are represented as confidence intervals, the overlap of which is used as a weight when selecting actions within a constrained search space of grid actions. The response of the utility grid to the grid actions may be measured and parsed by the temporal and spatial reach of the grid action, then used to update the confidence intervals for that particular selected grid action.
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公开(公告)号：US10915835B2
公开(公告)日：2021-02-09
申请号：US15889637
申请日：2018-02-06
发明人： Brian E. Brooks , Yang Lu , Andrew T. Tio , Chong Yang Ong , Gilles J. Benoit
摘要： Methods and systems for implementing experimental trials on utility grids. Variations in grid parameters are selected to introduce into utility grids to improve the value of learning from each experimental trial and promoting improved utility grid performance by computing expected values for both learning and grid performance. Those trials are used to manage the opportunity costs and constraints that affect the introduction of variations into utility grid parameters and the generation of valid data that can be attributed to particular variations in utility grid parameters.
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公开(公告)号：US09922293B2
公开(公告)日：2018-03-20
申请号：US15324809
申请日：2015-07-14
发明人： Brian E. Brooks , Yang Lu , Andrew T. Tio , Chong Yang Ong , Gilles J. Benoit
CPC分类号： G06N99/005 , G06N7/005 , G06Q50/06
摘要： Methods and systems for implementing experimental trials on utility grids. Variations in grid parameters are selected to introduce into utility grids to improve the value of learning from each experimental trial and promoting improved utility grid performance by computing expected values for both learning and grid performance. Those trials are used to manage the opportunity costs and constraints that affect the introduction of variations into utility grid parameters and the generation of valid data that can be attributed to particular variations in utility grid parameters.
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4.发明申请公开(公告)号：US20170250571A1
公开(公告)日：2017-08-31
申请号：US15514935
申请日：2015-10-19
发明人： Brian E. Brooks , Yang Lu , Gilles J. Benoit
CPC分类号： H02J13/0062 , G05B15/02 , G06Q50/06
摘要： The present invention is directed to systems and methods for establishing and maintaining constraints on automated experimentation systems and the permissible ranges for experimentation. Methods and systems of the invention evaluate the available controls, generate a multi-dimensional space representing the combinations of controls, and analyze operational data to determine which points in the multidimensional space are permissible states for the controlled system. Optionally, some embodiments feature a user interface for manipulating or altering the constraints. The constrained multidimensional space is used in automated experimentation through selection of points in the multidimensional space for use in experimental trails.
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5.发明申请公开(公告)号：US20170205781A1
公开(公告)日：2017-07-20
申请号：US15324763
申请日：2015-07-14
发明人： Brian E. Brooks , Yang Lu , Andrew T. Tio , Gilles J. Benoit
摘要： The present invention is directed towards methods and systems for characterizing sensors and developing classifiers for sensor responses on a utility grid. Experiments are conducted by selectively varying utility grid parameters and observing the responses of utility grid to the variation. Methods and systems of this invention then associate the particular responses of the utility grid sensors with specific variations in the grid parameters, based on knowledge of the areas of space and periods of time where the variation in grid parameters may affect the sensor response. This associated data is then used to updating a model of grid response.
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公开(公告)号：US10193384B2
公开(公告)日：2019-01-29
申请号：US15541806
申请日：2016-01-11
发明人： Brian E. Brooks , Gilles J. Benoit , Yang Lu
摘要： Systems and methods for automatically selecting actions to take on a utility grid to simultaneously reduce uncertainty while selecting actions that improve one or more effectiveness metrics. Grid action effects are represented as confidence intervals, the overlap of which is used as a weight when selecting actions within a constrained search space of grid actions. The response of the utility grid to the grid actions may be measured and parsed by the temporal and spatial reach of the grid action, then used to update the confidence intervals for that particular selected grid action.
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公开(公告)号：US10074977B2
公开(公告)日：2018-09-11
申请号：US15324911
申请日：2015-07-14
发明人： Brian E. Brooks , Yang Lu , Andrew T. Tio , Gilles J. Benoit
CPC分类号： H02J3/00 , G01R19/2513 , G01R31/40 , G05B13/0265 , G05B15/02 , H02J13/0013 , H02J2003/007 , Y02E60/76 , Y02E60/7807 , Y04S40/12 , Y04S40/22
摘要： Methods and systems for implementing experimental trials on utility grids. The variation of grid parameters are coordinated to create periods of time and areas of space from within which the variations of grid parameters do not overlap, allowing sensor data within those periods of time and areas of space to be associated with particular variations in grid parameters. This associated data can in turn be used to improve models of sensor response and utility grid behavior.
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8.发明申请公开(公告)号：US20180165606A1
公开(公告)日：2018-06-14
申请号：US15889637
申请日：2018-02-06
发明人： Brian E. Brooks , Yang Lu , Andrew T. Tio , Chong Yang Ong , Gilles J. Benoit
摘要： Methods and systems for implementing experimental trials on utility grids. Variations in grid parameters are selected to introduce into utility grids to improve the value of learning from each experimental trial and promoting improved utility grid performance by computing expected values for both learning and grid performance. Those trials are used to manage the opportunity costs and constraints that affect the introduction of variations into utility grid parameters and the generation of valid data that can be attributed to particular variations in utility grid parameters.
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公开(公告)号：US10698371B2
公开(公告)日：2020-06-30
申请号：US15324763
申请日：2015-07-14
发明人： Brian E. Brooks , Yang Lu , Andrew T. Tio , Gilles J. Benoit
摘要： The present invention is directed towards methods and systems for characterizing sensors and developing classifiers for sensor responses on a utility grid. Experiments are conducted by selectively varying utility grid parameters and observing the responses of utility grid to the variation. Methods and systems of this invention then associate the particular responses of the utility grid sensors with specific variations in the grid parameters, based on knowledge of the areas of space and periods of time where the variation in grid parameters may affect the sensor response. This associated data is then used to updating a model of grid response.
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公开(公告)号：US20180351356A1
公开(公告)日：2018-12-06
申请号：US16057958
申请日：2018-08-08
发明人： Brian E. Brooks , Yang Lu , Andrew T. Tio , Gilles J. Benoit
CPC分类号： H02J3/00 , G01R19/2513 , G01R31/40 , G05B13/0265 , G05B15/02 , H02J13/0013 , H02J2003/007 , Y02E60/76 , Y02E60/7807 , Y04S40/12 , Y04S40/22
摘要： Methods and systems for implementing experimental trials on utility grids. The variation of grid parameters are coordinated to create periods of time and areas of space from within which the variations of grid parameters do not overlap, allowing sensor data within those periods of time and areas of space to be associated with particular variations in grid parameters. This associated data can in turn be used to improve models of sensor response and utility grid behavior.
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