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21. 发明申请

US20150112907A1 Systems and Methods for Real-Time Forecasting and Predicting of Electrical Peaks and Managing the Energy, Health, Reliability, and Performance of Electrical Power Systems Based on an Artificial Adaptive Neural Network 审中-公开
标题翻译：基于人工自适应神经网络的电力系统的实时预测和电峰值预测系统与方法，管理电力系统的能源，健康，可靠性和性能
公开(公告)号：US20150112907A1
公开(公告)日：2015-04-23
申请号：US14575446
申请日：2014-12-18
申请人： Power Analytics Corporation
发明人： Adib Nasle , Ali Nasle
IPC分类号： G06N5/04 , G06N3/10 , G06N7/06
CPC分类号： G06N3/08 , G05B13/026 , G05B13/027 , G05B15/02 , G05B19/0428 , G05B2219/2639 , G06F17/5004 , G06F17/5009 , G06F2217/04 , G06F2217/78 , G06N3/10 , G06N5/048 , G06N7/06
摘要： A system for utilizing a neural network to make real-time predictions about the health, reliability, and performance of a monitored system are disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component acquires real-time data output from the electrical system. The power analytics server is comprised of a virtual system modeling engine, an analytics engine, an adaptive prediction engine. The virtual system modeling engine generates predicted data output for the electrical system. The analytics engine monitors real-time data output and predicted data output of the electrical system. The adaptive prediction engine can be configured to forecast an aspect of the monitored system using a neural network algorithm. The adaptive prediction engine is further configured to process the real-time data output and automatically optimize the neural network algorithm by minimizing a measure of error between the real-time data output and an estimated data output predicted by the neural network algorithm.
摘要翻译：公开了一种利用神经网络对被监视系统的健康状况，可靠性和性能进行实时预测的系统。该系统包括数据采集组件，功率分析服务器和客户终端。数据采集组件获取从电气系统输出的实时数据。功率分析服务器由虚拟系统建模引擎，分析引擎，自适应预测引擎组成。虚拟系统建模引擎为电气系统生成预测数据输出。分析引擎监控电气系统的实时数据输出和预测数据输出。自适应预测引擎可以被配置为使用神经网络算法来预测被监视系统的一个方面。自适应预测引擎还被配置为处理实时数据输出并且通过最小化实时数据输出与由神经网络算法预测的估计数据输出之间的误差的度量来自动优化神经网络算法。

22. 发明申请

US20210278811A1 Real-time predictive systems for intelligent energy monitoring and management of electrical power networks 有权
公开(公告)号：US20210278811A1
公开(公告)日：2021-09-09
申请号：US17322252
申请日：2021-05-17
申请人： Power Analytics Corporation
发明人： Adib Nasle
IPC分类号： G05B13/04 , G06Q30/02 , G06Q10/04 , G06N20/00 , G06Q50/06 , G06N5/04
摘要： A system for intelligent monitoring and management of an electrical system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component acquires real-time data output from the electrical system. The power analytics server is comprised of a real-time energy pricing engine, virtual system modeling engine, an analytics engine, a machine learning engine and a schematic user interface creator engine. The real-time energy pricing engine generates real-time utility power pricing data. The virtual system modeling engine generates predicted data output for the electrical system. The analytics engine monitors real-time data output and predicted data output of the electrical system. The machine learning engine stores and processes patterns observed from the real-time data output and the predicted data output to forecast an aspect of the electrical system.

23. 发明授权

US11113434B2 Method for predicting arc flash energy and PPE category within a real-time monitoring system 有权
公开(公告)号：US11113434B2
公开(公告)日：2021-09-07
申请号：US16152064
申请日：2018-10-04
申请人： Power Analytics Corporation
发明人： Branislav Radibratovic , Ali Nasle
IPC分类号： G06F30/20
摘要： Systems and methods for making real-time predictions about an arc flash event on an electrical system are disclosed. A virtual system model database is operable for providing a virtual system model for the electrical system and continuously update the virtual system model with real-time data from the electrical system. An analytics server comprises an arch flash simulation engine. The arch flash simulation engine is operable to modify the virtual system model to introduce a short-circuit feature to an uninterrupted power supply bypass circuit branch; choose a standard to supply equations used for arc flash event simulation and energy calculation; simulate an arc flash event utilizing the modified virtual system model; calculate a quantity of arc energy released by the arc flash event using results from the simulation; and communicate a report that forecasts an aspect of the arc flash event.

24. 发明授权

US11016450B2 Real-time predictive systems for intelligent energy monitoring and management of electrical power networks 有权
公开(公告)号：US11016450B2
公开(公告)日：2021-05-25
申请号：US16507779
申请日：2019-07-10
申请人： Power Analytics Corporation
发明人： Adib Nasle
IPC分类号： G05B13/04 , G06Q30/02 , G06Q10/04 , G06N20/00 , G06Q50/06 , G06N5/04
摘要： A system for intelligent monitoring and management of an electrical system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component acquires real-time data output from the electrical system. The power analytics server is comprised of a real-time energy pricing engine, virtual system modeling engine, an analytics engine, a machine learning engine and a schematic user interface creator engine. The real-time energy pricing engine generates real-time utility power pricing data. The virtual system modeling engine generates predicted data output for the electrical system. The analytics engine monitors real-time data output and predicted data output of the electrical system. The machine learning engine stores and processes patterns observed from the real-time data output and the predicted data output to forecast an aspect of the electrical system.

25. 发明申请

US20190332073A1 Real-time predictive systems for intelligent energy monitoring and management of electrical power networks 审中-公开
公开(公告)号：US20190332073A1
公开(公告)日：2019-10-31
申请号：US16507779
申请日：2019-07-10
申请人： Power Analytics Corporation
发明人： Adib Nasle
IPC分类号： G05B13/04 , G06Q30/02 , G06Q10/04 , G06N5/04 , G06N20/00 , G06Q50/06
摘要： A system for intelligent monitoring and management of an electrical system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component acquires real-time data output from the electrical system. The power analytics server is comprised of a real-time energy pricing engine, virtual system modeling engine, an analytics engine, a machine learning engine and a schematic user interface creator engine. The real-time energy pricing engine generates real-time utility power pricing data. The virtual system modeling engine generates predicted data output for the electrical system. The analytics engine monitors real-time data output and predicted data output of the electrical system. The machine learning engine stores and processes patterns observed from the real-time data output and the predicted data output to forecast an aspect of the electrical system.

26. 发明申请

US20190065971A1 Method for Predicting Symmetric, Automated, Real-Time Arc Flash Energy Within a Real-Time Monitoring System 审中-公开
公开(公告)号：US20190065971A1
公开(公告)日：2019-02-28
申请号：US16172373
申请日：2018-10-26
申请人： Power Analytics Corporation
发明人： Branislav Radibratovic , Kevin Meagher
IPC分类号： G06N5/04 , G05B17/02 , G06F17/50
摘要： A system for making real-time predictions about an arc flash event on an electrical system comprises a data acquisition component communicatively connected to a sensor configured to acquire real-time data output from the electrical system; an analytics server communicatively connected to the data acquisition component and comprising a virtual system modeling engine configured to generate predicted data output for the electrical system using a virtual system model of the electrical system, an analytics engine configured to monitor the real-time data output and the predicted data output of the electrical system, and an arc flash simulation engine configured to use the virtual system model updated based in the real-tune data to forecast an aspect of the arc flash event.

27. 发明申请

US20170228653A1 Systems And Methods For Model-Based Solar Power Management 审中-公开
公开(公告)号：US20170228653A1
公开(公告)日：2017-08-10
申请号：US15497913
申请日：2017-04-26
申请人： Power Analytics Corporation
发明人： Kevin Meagher , Branislav Radibratovic , Raj Chudgar , Rodger Koopman
IPC分类号： G06N5/04 , G06N99/00 , G06F17/50
CPC分类号： G06N5/04 , G06F17/11 , G06F17/5009 , G06N5/047 , G06N20/00
摘要： Systems and methods for predicting power output from photo-voltaic power generation resources are disclosed. An analytics server is communicatively connected to a data acquisition component and a virtual system model database. The analytics server is operable to receive real-time data via the data acquisition component from an electrical system comprising photo-voltaic power generation resources; generate predicted data based on a virtual model of the electrical system provided by the virtual system model database; continuously and automatically synchronize the virtual model with the electrical system based on a difference between the real-time data and the predicted data; receive solar irradiance forecast data; and forecast a power output of the photo-voltaic power generation resources based on the virtual model and the solar irradiance forecast data. The photo-voltaic power generation resources include at least one photo-voltaic inverter.

28. 发明申请

US20160246907A1 Systems And Methods For Model-Based Solar Power Management 审中-公开
标题翻译：基于模型的太阳能发电管理系统与方法
公开(公告)号：US20160246907A1
公开(公告)日：2016-08-25
申请号：US15089938
申请日：2016-04-04
申请人： Power Analytics Corporation
发明人： Kevin Meagher , Branislav Radibratovic , Raj Chudgar , Rodger Koopman
IPC分类号： G06F17/50 , G06N99/00 , G06F17/11 , G06N5/04
CPC分类号： G06N5/04 , G06F17/11 , G06F17/5009 , G06N5/047 , G06N20/00
摘要： Systems and methods for predicting power output from photo-voltaic power generation resources are disclosed. An analytics server is communicatively connected to a data acquisition component and a virtual system model database. The analytics server is operable to receive real-time data via the data acquisition component from an electrical system comprising photo-voltaic power generation resources; generate predicted data based on a virtual model of the electrical system provided by the virtual system model database; continuously and automatically synchronize the virtual model with the electrical system based on a difference between the real-time data and the predicted data; receive solar irradiance forecast data; and forecast a power output of the photo-voltaic power generation resources based on the virtual model and the solar irradiance forecast data. The photo-voltaic power generation resources include at least one photo-voltaic inverter.
摘要翻译：公开了用于预测光伏发电资源的功率输出的系统和方法。分析服务器通信地连接到数据采集组件和虚拟系统模型数据库。分析服务器可操作以经由数据采集组件从包括光伏发电资源的电气系统接收实时数据; 基于由虚拟系统模型数据库提供的电气系统的虚拟模型生成预测数据; 基于实时数据和预测数据之间的差异，连续自动地将虚拟模型与电气系统同步; 接收太阳辐照预报数据; 并根据虚拟模型和太阳辐射预报数据预测光伏发电资源的功率输出。光伏发电资源包括至少一个光伏逆变器。

29. 发明申请

US20160246906A1 Method For Predicting Symmetric, Automated, Real-Time ARC Flash Energy Within A Real-Time Monitoring System 有权
标题翻译：在实时监控系统中预测对称，自动，实时ARC闪存能量的方法
公开(公告)号：US20160246906A1
公开(公告)日：2016-08-25
申请号：US15089922
申请日：2016-04-04
申请人： Power Analytics Corporation
发明人： Branislav Radibratovic , Kevin Meagher
IPC分类号： G06F17/50 , G06F17/11
CPC分类号： G06F17/5009
摘要： Systems and methods for making real-time predictions about an arc flash event on an electrical system are disclosed. An analytics server is communicatively connected to a data acquisition component. The analytics server comprises a virtual system modeling engine configured to create a virtual system model reflecting current network topology of the electrical system; an analytics engine configured to monitor predicted output data from the virtual system model and real-time output data from the electrical system acquired by the data acquisition component and update the virtual system model when a difference between the real-time output data and the predicted output data exceeds a threshold; and an arc flash simulation engine configured to forecast at least one aspect of and arc flash event based on the virtual system model.
摘要翻译：公开了用于对电气系统上的电弧闪光事件进行实时预测的系统和方法。分析服务器通信地连接到数据采集组件。分析服务器包括被配置为创建反映电气系统的当前网络拓扑的虚拟系统模型的虚拟系统建模引擎; 分析引擎，被配置为监视来自虚拟系统模型的预测输出数据和来自由数据采集组件获取的电气系统的实时输出数据，并且当实时输出数据与预测输出之间的差异时更新虚拟系统模型数据超过阈值; 以及弧闪模拟引擎，其被配置为基于所述虚拟系统模型预测至少一个方面和弧闪事件。

30. 发明授权

US09111057B2 Method for predicting arc flash energy and PPE category within a real-time monitoring system 有权
公开(公告)号：US09111057B2
公开(公告)日：2015-08-18
申请号：US14496862
申请日：2014-09-25
申请人： Power Analytics Corporation
发明人： Branislav Radibratovic , Ali Nasle
IPC分类号： G06F7/60 , G06F17/10 , G06G7/48 , G06F17/50 , G06F1/26 , G05B13/04 , G05B17/02 , G06G7/63 , H02J3/00 , G06N7/00 , H02H1/00
CPC分类号： G06F17/5009 , G05B13/048 , G05B17/02 , G06F1/26 , G06F17/10 , G06F17/5036 , G06F2217/04 , G06F2217/16 , G06G7/63 , G06N7/00 , H02H1/0015 , H02J2003/007 , Y02E60/76
摘要： A method for simulating an arc flash event on an electrical power system is disclosed. The virtual system model of the electrical system is modified to introduce a short circuiting feature. The standard to supply equations used in the arc flash event calculations is chosen. The arc flash event is simulated using the modified virtual system model in accordance with the chosen standard. The quantity of arc energy released by the arc flash event is calculated using results from the simulation. The report that forecasts an aspect of the arc flash event is communicated.

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