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1. 发明授权

US10521525B2 Quantifying a combined effect of interdependent uncertain resources in an electrical power grid 有权
公开(公告)号：US10521525B2
公开(公告)日：2019-12-31
申请号：US15412306
申请日：2017-01-23
申请人： International Business Machines Corporation
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： G06G7/54 , 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.

2. 发明授权

US10331089B2 Forecasting solar power generation using weather forecasts 有权
公开(公告)号：US10331089B2
公开(公告)日：2019-06-25
申请号：US15288571
申请日：2016-10-07
申请人： International Business Machines Corporation
发明人： Ildar Khabibrakhmanov , Tarun Kumar , Rui Zhang
IPC分类号： G05B13/02 , G01W1/10 , G06F16/2458 , G01W1/12
摘要： Embodiments are directed to a computer-implemented method of forecasting power generation. The method includes analyzing, using a processor, a set of historical weather data. A set of historical power generation data is analyzed using the processor. The processor then determines a plurality of clusters, where each cluster of the plurality of clusters represents weather data for a time period and power generated during the time period. The processor then receives a weather forecast for a future time period. The processor determines which cluster of the set of cluster contains weather data that is most similar to the weather forecast. The processor then uses the historical power generation data of the cluster to forecast power generation for the future time period.

3. 发明授权

US10203359B2 Automatic measurement and notification of electrical level using smartphone sensors 有权
公开(公告)号：US10203359B2
公开(公告)日：2019-02-12
申请号：US15955756
申请日：2018-04-18
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Ronald Ambrosio , Younghun Kim , Tarun Kumar
IPC分类号： G08B21/00 , G01R21/08 , H04M19/04 , G06F1/16 , G01R15/20 , H04W88/02
摘要： A personal mobile system for detecting unsafe electrical power levels. Magnetic sensors detect a magnitude of a magnetic field produced by a power line. A GPS determines the location of the detected the magnetic field. A distance from the location of the detected the magnetic field is determined. In response to determining that the magnitude of the detected magnetic field produced by the power line exceeds the stored electrical power level threshold, based on the determined distance, an alert module produces an alert on the personal mobile system.

4. 发明授权

US10168367B2 Automatic measurement and notification of electrical level using smartphone sensors 有权
公开(公告)号：US10168367B2
公开(公告)日：2019-01-01
申请号：US15955752
申请日：2018-04-18
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Ronald Ambrosio , Younghun Kim , Tarun Kumar
IPC分类号： G08B21/00 , G01R21/08 , H04M19/04 , G06F1/16 , G01R15/20 , G06F1/32 , H04W88/02
摘要： A personal mobile system for detecting unsafe electrical power levels. Magnetic sensors detect a magnitude of a magnetic field produced by a power line. A GPS determines the location of the detected the magnetic field. A distance from the location of the detected the magnetic field is determined. In response to determining that the magnitude of the detected magnetic field produced by the power line exceeds the stored electrical power level threshold, based on the determined distance, an alert module produces an alert on the personal mobile system.

5. 发明申请

US20180223812A1 REDUCING CURTAILMENT OF WIND POWER GENERATION 审中-公开
公开(公告)号：US20180223812A1
公开(公告)日：2018-08-09
申请号：US15426524
申请日：2017-02-07
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Varun Badrinath Krishna , Younghun Kim , Tarun Kumar , Wander S. Wadman , Kevin W. Warren
IPC分类号： F03D17/00 , G06N3/04
CPC分类号： F03D17/00 , F03D7/028 , F03D7/046 , F05B2260/821 , F05B2260/84 , F05B2270/32 , F05B2270/335 , G06N3/04 , G06N3/084 , G06N10/00 , Y02A30/12 , Y02E10/723
摘要： Historical electrical power output measurements of a wind turbine for a time period immediately preceding a specified past time are received. Historical wind speed micro-forecasts for the geographic location of the wind turbine, for a time period immediately preceding the specified past time and for a time period immediately following the specified past time are received. Based on the historical electrical power output measurements and the historical wind speed micro-forecasts, a trained machine learning model for predicting wind power output of the wind turbine is generated. Real-time electrical power output measurements of the wind turbine and real-time wind speed micro-forecasts for the geographic location of the wind turbine are received. Using the trained machine learning model with the real-time electrical power output measurements of the wind turbine and the real-time wind speed micro-forecasts, a wind power output forecast for the wind turbine at a future time is outputted.

6. 发明申请

US20180223806A1 REDUCING CURTAILMENT OF WIND POWER GENERATION 审中-公开
公开(公告)号：US20180223806A1
公开(公告)日：2018-08-09
申请号：US15964370
申请日：2018-04-27
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Varun Badrinath Krishna , Younghun Kim , Tarun Kumar , Wander S. Wadman , Kevin W. Warren
IPC分类号： F03D7/02 , F03D7/04 , F03D9/25 , F03D17/00 , G05B13/02 , G05B19/416
CPC分类号： F03D7/0284 , F03D7/046 , F03D7/047 , F03D7/048 , F03D9/25 , F03D17/00 , F05B2260/821 , F05B2270/1033 , F05B2270/32 , F05B2270/337 , F05B2270/404 , F05B2270/709 , G05B13/026 , G05B19/416 , G05B2219/2619 , Y02A30/12 , Y02E10/723 , Y02E10/725
摘要： Historical power output measurements of a wind turbine for a time period immediately preceding a specified time are received. Historical wind speed micro-forecasts for the wind turbine for a time periods immediately preceding the specified past time and immediately following the specified past time are received. The historical wind speed micro-forecasts are converted to wind power values. Based on the historical power output measurements and the wind power output values, a machine learning model for predicting wind power output is trained. Real-time power output measurements of the wind turbine and real-time wind speed micro-forecasts for the wind turbine are received. The real-time wind speed micro-forecasts are converted to real-time wind power values. Using the machine learning model with the real-time power output measurements and the real-time wind power values, a wind power output forecast for the wind turbine at a future time is outputted.

7. 发明申请

US20170176957A1 LINEPACK DELAY MEASUREMENT IN FLUID DELIVERY PIPELINE 审中-公开
公开(公告)号：US20170176957A1
公开(公告)日：2017-06-22
申请号：US15436124
申请日：2017-02-17
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Harsh Chaudhary , Younghun Kim , Tarun Kumar , Abhishek Raman , Rui Zhang
IPC分类号： G05B13/02 , G05D7/06
CPC分类号： G05B13/026 , G01F22/02 , G01M3/2807 , G01M3/2815 , G05B13/0255 , G05D7/0629 , G05D7/0682 , H04L43/045 , H04L67/12
摘要： Technical solutions are described for predicting linepack delays. An example method includes receiving temporal sensor measurements of a first fluid-delivery pipeline network and generating a causality graph of the first fluid-delivery pipeline network. The method also includes determining a topological network of the stations based on the causality graph, where the topological network identifies a temporal delay between a pair of stations. The method also includes generating a temporal delay prediction model based on the topological network and predicting the linepack delays of a second fluid-delivery pipeline network based on the temporal delay prediction model, where a compressor station of the second fluid-delivery pipeline network compresses fluid based on the predicted linepack delays to maintain a predetermined pressure.

8. 发明申请

US20170170871A1 METHOD AND APPARATU TO DETERMINE ELECTRIC POWER NETWORK ANOMALIES USING A COORDINATED INFORMATION EXCHANGE AMONG SMART METERS 有权
公开(公告)号：US20170170871A1
公开(公告)日：2017-06-15
申请号：US15439412
申请日：2017-02-22
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Aanchal Goyal , Aleksandr Y. Aravkin , Younghun Kim , Tarun Kumar
IPC分类号： H04B3/462 , H04L12/26 , H04B3/54
CPC分类号： H04B3/462 , H04B3/542 , H04B2001/6912 , H04L43/0847 , H04L43/50
摘要： A system and method to produce an electric network from estimated line impedance and physical line length among smart meter devices is provided using communication between the smart meters. The smart meters: (1) synchronize time using GPS pps signals, which provide an accurate time stamp; (2) send/receive an identifiable signal through the same phase of electric networks; (3) identify other smart meters on the same phase lines by listening to the information signal on the same phase lines; and (4) calculate time-of-arrival of an identifiable signal from other smart meters. The time of arrival information is used to calculate the line length, which is then used to calculate impedance of a line and topology of the electric network. The system then constructs an electric network by combining geo-spatial information and tree-like usual connection information.

9. 发明授权

US09599499B1 Linepack delay measurement in fluid delivery pipeline 有权
公开(公告)号：US09599499B1
公开(公告)日：2017-03-21
申请号：US14976870
申请日：2015-12-21
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Harsh Chaudhary , Younghun Kim , Tarun Kumar , Abhishek Raman , Rui Zhang
IPC分类号： G01F23/00 , G01F22/02 , H04L12/26 , H04L29/08 , G01M3/28
CPC分类号： G05B13/026 , G01F22/02 , G01M3/2807 , G01M3/2815 , G05B13/0255 , G05D7/0629 , G05D7/0682 , H04L43/045 , H04L67/12
摘要： Technical solutions are described for predicting linepack delays. An example method includes receiving temporal sensor measurements of a first fluid-delivery pipeline network and generating a causality graph of the first fluid-delivery pipeline network. The method also includes determining a topological network of the stations based on the causality graph, where the topological network identifies a temporal delay between a pair of stations. The method also includes generating a temporal delay prediction model based on the topological network and predicting the linepack delays of a second fluid-delivery pipeline network based on the temporal delay prediction model, where a compressor station of the second fluid-delivery pipeline network compresses fluid based on the predicted linepack delays to maintain a predetermined pressure.

10. 发明授权

US09558453B1 Forecasting leaks in pipeline network 有权
标题翻译：预测管网泄漏
公开(公告)号：US09558453B1
公开(公告)日：2017-01-31
申请号：US14976903
申请日：2015-12-21
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Harsh Chaudhary , Younghun Kim , Tarun Kumar , Abhishek Raman , Rui Zhang
IPC分类号： G06N7/00 , G06Q10/04
CPC分类号： G06N7/005 , G01M3/2815 , G06F17/18 , G06Q10/04
摘要： Technical solutions are described for forecasting leaks in a pipeline network. An example method includes identifying a subsystem in the pipeline network that includes a first station. The method also includes accessing historical temporal sensor measurements of the stations. The method also includes generating a prediction model for the first station that predicts a pressure measurement at the first station based on the historical temporal sensor measurements at each station in the subsystem. The method also includes predicting a series of pressure measurements at the first station based on the historical temporal sensor measurements. The method also includes determining a series of deviations between the series of pressure measurements and historical pressure measurements of the first station and identifying a threshold value from the series of deviations, where a pressure measurement at the first station above or below the threshold value is indicative of a leak in the subsystem.
摘要翻译：描述了用于预测管道网络泄漏的技术解决方案。示例性方法包括识别包括第一站的管道网络中的子系统。该方法还包括访问站的历史时间传感器测量。该方法还包括基于子系统中每个站处的历史时间传感器测量生成用于预测第一站处的压力测量的第一站的预测模型。该方法还包括基于历史时间传感器测量来预测第一站处的一系列压力测量。该方法还包括确定一系列压力测量值与第一工作站的历史压力测量值之间的一系列偏差，并从该系列偏差中确定阈值，其中第一站点上方或下方的压力测量值指示的子系统泄漏。

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