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MX2018010319A - Sistemas y métodos del mismo para la determinación de un estado del dispositivo basado en el monitoreo de consumo actual y el aprendizaje automático del mismo. - Google Patents

Sistemas y métodos del mismo para la determinación de un estado del dispositivo basado en el monitoreo de consumo actual y el aprendizaje automático del mismo.

Info

Publication number
MX2018010319A
MX2018010319A MX2018010319A MX2018010319A MX2018010319A MX 2018010319 A MX2018010319 A MX 2018010319A MX 2018010319 A MX2018010319 A MX 2018010319A MX 2018010319 A MX2018010319 A MX 2018010319A MX 2018010319 A MX2018010319 A MX 2018010319A
Authority
MX
Mexico
Prior art keywords
data
training
determination
current
current consumer
Prior art date
Application number
MX2018010319A
Other languages
English (en)
Inventor
Shamir Adi
Decktor IAROSLAVITZ Gev
Flatau Theodor
Original Assignee
Panoramic Power Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Panoramic Power Ltd filed Critical Panoramic Power Ltd
Publication of MX2018010319A publication Critical patent/MX2018010319A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00—Systems controlled by a computer
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26—Power supply means, e.g. regulation thereof
    • G06F1/28—Supervision thereof, e.g. detecting power-supply failure by out of limits supervision
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26—Power supply means, e.g. regulation thereof
    • G06F1/32—Means for saving power
    • G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Automation & Control Theory (AREA)
  • Computational Linguistics (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

Un sistema para la determinación de un estado operacional del consumidor actual opera en dos conjuntos de datos respectivos del consumidor actual. El primer conjunto de datos son datos históricos del consumo actual medidos periódicamente. Un módulo de entrenamiento del sistema determina una pluralidad de estados operacionales distintos del consumidor actual en base a los datos históricos. El entrenamiento incluye la selección de un modelo y luego determina los parámetros de estado basados en el modelo. Una vez que tiene lugar una capacitación suficiente, el sistema usa su módulo de clasificación para clasificar, en función de los parámetros de estado extraídos, mediciones o mediciones de corriente recientemente recibidas, en un modo operacional distinto del consumidor actual a partir de la pluralidad de estados operacionales distintos. La fase de entrenamiento puede repetirse periódicamente, agregando datos más nuevos a los datos históricos y, además, eliminando los datos más antiguos a medida que se ponen a disposición datos más nuevos, y actualiza los estados y los parámetros asociados.
MX2018010319A 2016-03-05 2017-03-04 Sistemas y métodos del mismo para la determinación de un estado del dispositivo basado en el monitoreo de consumo actual y el aprendizaje automático del mismo. MX2018010319A (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201662304183P 2016-03-05 2016-03-05
US15/449,187 US20170255864A1 (en) 2016-03-05 2017-03-03 Systems and Methods Thereof for Determination of a Device State Based on Current Consumption Monitoring and Machine Learning Thereof
PCT/IB2017/051270 WO2017153880A1 (en) 2016-03-05 2017-03-04 Systems and methods thereof for determination of a device state based on current consumption monitoring and machine-learning thereof

Publications (1)

Publication Number Publication Date
MX2018010319A true MX2018010319A (es) 2019-05-16

Family

ID=59722760

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2018010319A MX2018010319A (es) 2016-03-05 2017-03-04 Sistemas y métodos del mismo para la determinación de un estado del dispositivo basado en el monitoreo de consumo actual y el aprendizaje automático del mismo.

Country Status (5)

Country Link
US (1) US20170255864A1 (es)
EP (1) EP3423789B1 (es)
JP (1) JP2019513001A (es)
MX (1) MX2018010319A (es)
WO (1) WO2017153880A1 (es)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109193630B (zh) * 2018-09-21 2021-06-15 武汉大学 一种柔性负荷可调区间预测方法及装置
CN112115847B (zh) * 2020-09-16 2024-05-17 深圳印像数据科技有限公司 人脸情绪愉悦度判断方法
WO2022246627A1 (zh) * 2021-05-25 2022-12-01 罗伯特·博世有限公司 一种用于控制制冷设备的方法和装置
CN116068304A (zh) * 2022-12-12 2023-05-05 广东美的白色家电技术创新中心有限公司 能效评估方法、装置、系统、设备及存储介质
CN116910499A (zh) * 2023-07-18 2023-10-20 杭州安脉盛智能技术有限公司 一种系统状态监测方法、装置、电子设备及可读存储介质

Family Cites Families (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3334807B2 (ja) * 1991-07-25 2002-10-15 株式会社日立製作所 ニュ−ラルネットを利用したパタ−ン分類方法および装置
GB2387008A (en) * 2002-03-28 2003-10-01 Qinetiq Ltd Signal Processing System
TW200405646A (en) * 2002-05-24 2004-04-01 Virginia Tech Intell Prop Method, apparatus, and system for drive control, power conversion, and start-up control in an SRM or PMBDCM drive system
US7412339B2 (en) * 2002-05-24 2008-08-12 Virginia Tech Intellectual Properties, Inc. Method and apparatus for identifying an operational phase of a motor phase winding and controlling energization of the phase winding
US6889173B2 (en) * 2002-10-31 2005-05-03 Emerson Retail Services Inc. System for monitoring optimal equipment operating parameters
JP2007003296A (ja) * 2005-06-22 2007-01-11 Toenec Corp 電気機器モニタリングシステム
US7480641B2 (en) * 2006-04-07 2009-01-20 Nokia Corporation Method, apparatus, mobile terminal and computer program product for providing efficient evaluation of feature transformation
US8712732B2 (en) * 2007-09-18 2014-04-29 Belkin International, Inc. Electrical event detection device and method of detecting and classifying electrical power usage
US9104189B2 (en) * 2009-07-01 2015-08-11 Mario E. Berges Gonzalez Methods and apparatuses for monitoring energy consumption and related operations
JP5222261B2 (ja) * 2009-09-25 2013-06-26 一般財団法人電力中央研究所 分散形電源の運転状態判別方法および装置並びに運転状態判別プログラム
US20110307200A1 (en) * 2010-06-11 2011-12-15 Academia Sinica Recognizing multiple appliance operating states using circuit-level electrical information
US20120053925A1 (en) * 2010-08-31 2012-03-01 Steven Geffin Method and System for Computer Power and Resource Consumption Modeling
JP5598200B2 (ja) * 2010-09-16 2014-10-01 ソニー株式会社 データ処理装置、データ処理方法、およびプログラム
KR101173823B1 (ko) * 2011-07-01 2012-08-20 연세대학교 산학협력단 공동주택의 에너지 사용량 예측 시스템 및 방법
US9135667B2 (en) * 2012-11-16 2015-09-15 Johnson Controls Technology Company Systems and methods for building energy use benchmarking
JP6431283B2 (ja) * 2014-05-14 2018-11-28 株式会社デンソーアイティーラボラトリ 電力需要シミュレータ、電力需要シミュレーション方法、及びプログラム
DE112015002433T5 (de) * 2014-05-23 2017-03-23 Datarobot Systeme und Techniken zur prädikativen Datenanalytik
US9838847B2 (en) * 2014-09-11 2017-12-05 Google LLP Data driven evaluation and rejection of trained Gaussian process-based wireless mean and standard deviation models
US9057746B1 (en) * 2014-11-26 2015-06-16 Sense Labs, Inc. Determining information about devices in a building using different sets of features

Also Published As

Publication number Publication date
JP2019513001A (ja) 2019-05-16
EP3423789A4 (en) 2019-10-09
US20170255864A1 (en) 2017-09-07
EP3423789A1 (en) 2019-01-09
WO2017153880A1 (en) 2017-09-14
EP3423789B1 (en) 2020-11-25

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