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公开(公告)号：US20180330250A1
公开(公告)日：2018-11-15
申请号：US15974155
申请日：2018-05-08
Applicant: NEC Laboratories America, Inc.
Inventor： Kiyoshi Nakayama , Ratnesh Sharma
CPC classification number: G06N5/04 , G06N99/005 , H02J13/0006
Abstract: A computer-implemented method for detecting and predicting anomalies in an energy management system is presented. The method includes detecting, in real-time, a first set of outliers for a plurality of energy devices under operation, predicting a second set of outliers for running the plurality of energy devices, analyzing historical energy data of the plurality of energy devices to extract a third set of outliers, receiving feedback, in real-time, from a user regarding each of the first, second, and third sets of outliers, and training the energy management system with the real-time feedback received from the user to automatically optimize a threshold of error detection.
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公开(公告)号：US10673242B2
公开(公告)日：2020-06-02
申请号：US16185373
申请日：2018-11-09
Applicant: NEC Laboratories America, Inc.
Inventor： Kiyoshi Nakayama , Ratnesh Sharma , Ali Hooshmand
IPC: H02J3/32 , G06Q10/06 , G06Q50/06 , G05B13/04 , H02J13/00 , G06Q30/04 , H02J3/38 , H02J7/00 , H02J3/00 , G05B13/02
Abstract: Systems and methods for controlling battery charge levels to maximize savings in a behind the meter energy management system include predicting a demand charge threshold with a power demand management controller based on historical load. A net energy demand is predicted for a current day with a short-term forecaster. A demand threshold maximizes financial savings using the net energy demand using a rolling time horizon optimizer by concurrently optimizing the demand charge savings and demand response rewards. A load reduction capability factor of batteries is determined with a real-time controller corresponding to an amount of energy to fulfill the demand response rewards. The net energy demand is compared with the demand threshold to determine a demand difference. Battery charge levels of the one or more batteries are controlled with the real time controller according to the demand difference and the load reduction capability factor.
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公开(公告)号：US20190288513A1
公开(公告)日：2019-09-19
申请号：US16257399
申请日：2019-01-25
Applicant: NEC Laboratories America, Inc.
Inventor： Kiyoshi Nakayama , Ratnesh Sharma
Abstract: A system and methods are provided for a decentralized transactive energy management. The method includes calculating, by a processor-device, power balancing at one of a plurality of nodes responsive to current statistics at the one of a plurality of nodes. The method also includes estimating, by the processor-device, a present energy demand for the one of a plurality of nodes responsive to the current statistics. The method additionally includes obtaining, by the processor-device, an amount of excess energy available another of the plurality of nodes. The method further includes optimizing, by the processor-device, a power flow between the one of the plurality of nodes and the another of the plurality of nodes to satisfy the present energy demand for the one of the plurality of nodes. The method also includes transferring the excess energy from the another of the plurality of nodes to the one of the plurality of nodes.
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公开(公告)号：US20190148945A1
公开(公告)日：2019-05-16
申请号：US16185300
申请日：2018-11-09
Applicant: NEC Laboratories America, Inc.
Inventor： Kiyoshi Nakayama , Ratnesh Sharma , Ali Hooshmand
Abstract: Systems and methods for controlling battery charge levels to maximize savings in a behind the meter energy management system include predicting a demand charge threshold with a power demand management controller based on historical load. A net energy demand is predicted for a current day with a short-term forecaster. A demand threshold maximizes financial savings using the net energy demand using a rolling time horizon optimizer by concurrently optimizing the demand charge savings and demand response rewards. A load reduction capability factor of batteries is determined with a real-time controller corresponding to an amount of energy to fulfill the demand response rewards. The net energy demand is compared with the demand threshold to determine a demand difference. Battery charge levels of the one or more batteries are controlled with the real time controller according to the demand difference and the load reduction capability factor.
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Patent Agency Ranking
公开(公告)号：US20190147552A1
公开(公告)日：2019-05-16
申请号：US16185373
申请日：2018-11-09
Applicant: NEC Laboratories America, Inc.
Inventor： Kiyoshi Nakayama , Ratnesh Sharma , Ali Hooshmand
Abstract: Systems and methods for controlling battery charge levels to maximize savings in a behind the meter energy management system include predicting a demand charge threshold with a power demand management controller based on historical load. A net energy demand is predicted for a current day with a short-term forecaster. A demand threshold maximizes financial savings using the net energy demand using a rolling time horizon optimizer by concurrently optimizing the demand charge savings and demand response rewards. A load reduction capability factor of batteries is determined with a real-time controller corresponding to an amount of energy to fulfill the demand response rewards. The net energy demand is compared with the demand threshold to determine a demand difference. Battery charge levels of the one or more batteries are controlled with the real time controller according to the demand difference and the load reduction capability factor.
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公开(公告)号：US10585123B2
公开(公告)日：2020-03-10
申请号：US16151544
申请日：2018-10-04
Applicant: NEC Laboratories America, Inc.
Inventor： Kiyoshi Nakayama , Chenrui Jin , Ratnesh Sharma , Nikhil Muralidhar
Abstract: A computer-implemented method, system, and computer program product are provided for anomaly detection in a power system. The method includes receiving, by a processor-device, a plurality of measurements from a plurality of meters throughout the power system. The method also includes generating, by the processor-device, temporal causal networks based on pair-wise relationships between the plurality of measurements from the plurality of meters over time. The method additionally includes determining, by the processor-device, invariant relationships for the plurality of meters between the temporal causal networks. The method further includes predicting, by the processor-device, an anomaly from the invariant relationships for the plurality of meters with a residual anomaly threshold. The method also includes disabling one of the plurality of meters that originated the anomaly.
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7.发明申请公开(公告)号：US20190113549A1
公开(公告)日：2019-04-18
申请号：US16151544
申请日：2018-10-04
Applicant: NEC Laboratories America, Inc.
Inventor： Kiyoshi Nakayama , Chenrui Jin , Ratnesh Sharma , Nikhil Muralidhar
CPC classification number: G01R19/2513 , G01R22/066 , G06F17/16 , G06K9/72 , G06Q50/06
Abstract: A computer-implemented method, system, and computer program product are provided for anomaly detection in a power system. The method includes receiving, by a processor-device, a plurality of measurements from a plurality of meters throughout the power system. The method also includes generating, by the processor-device, temporal causal networks based on pair-wise relationships between the plurality of measurements from the plurality of meters over time. The method additionally includes determining, by the processor-device, invariant relationships for the plurality of meters between the temporal causal networks. The method further includes predicting, by the processor-device, an anomaly from the invariant relationships for the plurality of meters with a residual anomaly threshold. The method also includes disabling one of the plurality of meters that originated the anomaly.
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公开(公告)号：US10673241B2
公开(公告)日：2020-06-02
申请号：US16185300
申请日：2018-11-09
Applicant: NEC Laboratories America, Inc.
Inventor： Kiyoshi Nakayama , Ratnesh Sharma , Ali Hooshmand
IPC: H02J3/32 , G06Q10/06 , G06Q50/06 , G05B13/04 , H02J13/00 , G06Q30/04 , H02J3/38 , H02J7/00 , H02J3/00 , G05B13/02
Abstract: Systems and methods for controlling battery charge levels to maximize savings in a behind the meter energy management system include predicting a demand charge threshold with a power demand management controller based on historical load. A net energy demand is predicted for a current day with a short-term forecaster. A demand threshold maximizes financial savings using the net energy demand using a rolling time horizon optimizer by concurrently optimizing the demand charge savings and demand response rewards. A load reduction capability factor of batteries is determined with a real-time controller corresponding to an amount of energy to fulfill the demand response rewards. The net energy demand is compared with the demand threshold to determine a demand difference. Battery charge levels of the one or more batteries are controlled with the real time controller according to the demand difference and the load reduction capability factor.
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公开(公告)号：US20170244252A1
公开(公告)日：2017-08-24
申请号：US15436274
申请日：2017-02-17
Applicant: NEC Laboratories America, Inc.
Inventor： Kiyoshi Nakayama , Ratnesh Sharma
CPC classification number: H02J3/381 , G05B23/0294 , H02J2003/003 , H02J2003/007
Abstract: A computer-implemented method is provided for managing a plurality of micro grids in an energy system. The method includes collecting and maintaining, in a central database, configuration information and state information for the plurality of micro grids, by a processor-based dynamic operation engine. The method further includes identifying failures in any of the plurality of micro grids and generating updated configuration information and updated state information relating to the failures, based on data analytics and diagnostic polling applied to the configuration information and the state information, by a processor-based micro grid diagnostic engine. The method also includes autonomously recovering from the failures in any of the plurality of microgrids using one or more backup devices determined based on the updated configuration information and the updated state information, by a processor-based system recovery engine operatively coupled to the processor-based dynamic operation engine and to the processor-based micro grid diagnostic engine.
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