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    Electric vehicle disaggregation and detection in whole-house consumption signals
    1.
    发明授权
    Electric vehicle disaggregation and detection in whole-house consumption signals 有权

    公开(公告)号：US10191096B2

    公开(公告)日：2019-01-29

    申请号：US14612499

    申请日：2015-02-03

    申请人： Hsien-Ting Cheng ,  Ye He ,  Abhay Gupta ,  Vivek Garud ,  Alex Shyr

    发明人： Hsien-Ting Cheng ,  Ye He ,  Abhay Gupta ,  Vivek Garud ,  Alex Shyr

    IPC分类号： G06F11/30 ,  G01R21/133 ,  B60L11/18 ,  G01R19/25

    摘要： The present invention is directed to systems and methods of disaggregating and detecting energy usage associated with electric vehicle charging from a whole-house consumption signal. In general, methods of the present invention may include: identifying by an electronic processor potential interval candidates of electric vehicle charging, based at least in part upon long and decreasing patterns; determining by the electronic processor intervals associated with the charging of an electric vehicle, based at least in part on evaluating each potential interval candidate; determining by the electronic processor an initial point of charging for each interval associated with the charging of an electric vehicle; and accounting by the electronic processor for feedback of any incorrectly detected signals.

    Energy disaggregation techniques for whole-house energy consumption data
    2.
    发明授权
    Energy disaggregation techniques for whole-house energy consumption data 有权

    公开(公告)号：US10460274B2

    公开(公告)日：2019-10-29

    申请号：US14543824

    申请日：2014-11-17

    申请人： Ye He ,  Abhay Gupta ,  Hsien-Ting Cheng ,  Vivek Garud

    发明人： Ye He ,  Abhay Gupta ,  Hsien-Ting Cheng ,  Vivek Garud

    IPC分类号： G06Q10/06 ,  G06N20/00 ,  G06Q50/06

    摘要： The present invention is directed to systems and methods for performing energy disaggregation of a whole-house energy usage waveform, based at least in part on the whole-house energy usage profile, training data, and predetermined generic models, including: a module for pairing impulses identified in the whole-house energy usage waveform to indicate an appliance cycle, pairing impulses with at least one up transition with at least one down transition; a module for bundling impulses that are representative of an appliance cycle; a classification module, which upon determination of a type of appliance associated with bundles, is configured to classify the bundles of transitions in accordance with bundles exhibited by similar appliances with similar characteristics; and utilizing such pairing module and module for bundling to perform energy disaggregation. Moreover, the present invention sets forth graphical user interfaces for the presentation of such data and the receipt of user-supplied validation and information.

    Applications of Non-Intrusive Load Monitoring and Solar Energy Disaggregation
    3.
    发明申请
    Applications of Non-Intrusive Load Monitoring and Solar Energy Disaggregation 有权
    非侵入式负荷监测和太阳能分解的应用

    公开(公告)号：US20140207298A1

    公开(公告)日：2014-07-24

    申请号：US14159058

    申请日：2014-01-20

    申请人： Abhay Gupta ,  Ye He ,  Vivek Garud ,  Hsien-Ting Cheng ,  Raul Mohan

    发明人： Abhay Gupta ,  Ye He ,  Vivek Garud ,  Hsien-Ting Cheng ,  Raul Mohan

    IPC分类号： G05B15/02

    CPC分类号： G05B15/02 ,  G05B2219/2642

    摘要： Aspects in accordance with embodiments of the invention may include a method for remotely setting, controlling, or modifying settings on a programmable communicating thermostat (PCT) in order to customize settings to a specific house and user, including steps of: receiving at a remote processor information entered into the PCT by the user; receiving at the remote processor: non-electrical information associated with the specific house or user; and energy usage data of the specific house; performing by the remote processor energy disaggregation on the energy usage data; determining by the remote processor a custom schedule for the PCT based upon the information entered by the user, the non-electrical information associated with the specific house or user, and disaggregated energy usage data; revising by the remote processor, the custom schedule for the PCT based upon additional user input or seasonal changes; providing the custom schedule for the PCT to the PCT.

    摘要翻译： 根据本发明的实施例的方面可以包括用于远程设置，控制或修改可编程通信恒温器（PCT）上的设置的方法，以便定制对特定房屋和用户的设置，包括以下步骤：在远程处理器 由用户输入PCT的信息; 在远程处理器处接收与特定房屋或用户相关联的非电信息; 特定房屋的能源使用数据; 通过远程处理器执行能量分解能量使用数据; 由远程处理器根据用户输入的信息，与特定房屋或用户相关联的非电信息和分解的能量使用数据来确定PCT的定制日程表; 由远程处理器修改基于额外的用户输入或季节变化的PCT的定制时间表; 向PCT提供PCT的定制时间表。

    Electric Vehicle Disaggregation and Detection in Whole-House Consumption Signals
    4.
    发明申请
    Electric Vehicle Disaggregation and Detection in Whole-House Consumption Signals 审中-公开
    全车消费信号中电动车分解与检测

    公开(公告)号：US20160223597A1

    公开(公告)日：2016-08-04

    申请号：US14612499

    申请日：2015-02-03

    申请人： Hsien-Teng Cheng ,  Ye He ,  Abhay Gupta ,  Vivek Garud ,  Alex Shyr

    发明人： Hsien-Teng Cheng ,  Ye He ,  Abhay Gupta ,  Vivek Garud ,  Alex Shyr

    IPC分类号： G01R19/04 ,  G01R21/133 ,  G01R19/25 ,  B60L11/18

    CPC分类号： G01R21/133 ,  B60L11/1848 ,  G01R19/2513 ,  Y02T10/7005 ,  Y02T10/7072 ,  Y02T90/121 ,  Y02T90/128 ,  Y02T90/14 ,  Y02T90/163 ,  Y02T90/169 ,  Y04S20/38 ,  Y04S30/14

    摘要： The present invention is directed to systems and methods of disaggregating and detecting energy usage associated with electric vehicle charging from a whole-house consumption signal. In general, methods of the present invention may include: identifying by an electronic processor potential interval candidates of electric vehicle charging, based at least in part upon long and decreasing patterns; determining by the electronic processor intervals associated with the charging of an electric vehicle, based at least in part on evaluating each potential interval candidate; determining by the electronic processor an initial point of charging for each interval associated with the charging of an electric vehicle; and accounting by the electronic processor for feedback of any incorrectly detected signals.

    摘要翻译： 本发明涉及从整体消费信号分解和检测与电动车辆充电有关的能量使用的系统和方法。 通常，本发明的方法可以包括：至少部分地基于长的和减少的模式，通过电子处理器识别电动车辆充电的潜在间隔候选; 至少部分地基于评估每个潜在间隔候选，通过与电动车辆的充电相关联的电子处理器间隔来确定; 由电子处理器确定与电动车辆的充电相关联的每个间隔的初始充电点; 并由电子处理器记录任何错误检测到的信号的反馈。

    Energy Disaggregation Techniques for Low Resolution Whole-House Energy Consumption Data
    6.
    发明申请
    Energy Disaggregation Techniques for Low Resolution Whole-House Energy Consumption Data 审中-公开
    低分辨率整体能耗数据的能量分解技术

    公开(公告)号：US20130289788A1

    公开(公告)日：2013-10-31

    申请号：US13870838

    申请日：2013-04-25

    申请人： Abhay Gupta ,  Alaa Kharbouch ,  Vivek Garud ,  Hsien-Ting Cheng

    发明人： Abhay Gupta ,  Alaa Kharbouch ,  Vivek Garud ,  Hsien-Ting Cheng

    IPC分类号： G05B13/02

    CPC分类号： G05B13/02 ,  G05B15/02 ,  G05B2219/2642 ,  H02J2003/143 ,  Y02B70/3266 ,  Y04S20/242 ,  Y04S20/38

    摘要： The present invention is generally directed to methods of disaggregating low resolution whole-house energy consumption data. In accordance with some embodiments of the present invention, methods may include steps of: receiving at a processor the low resolution whole house profile; selectively communicating with a first database including non-electrical information; selectively communicating with a second database including training data; and determining by the processor based on the low resolution whole house profile, the non-electrical information and the training data, individual appliance load profiles for one or more appliances.

    摘要翻译： 本发明一般涉及分解低分辨率全屋能耗数据的方法。 根据本发明的一些实施例，方法可以包括以下步骤：在处理器处接收低分辨率整体简档; 选择性地与包括非电信息的第一数据库通信; 选择性地与包括训练数据的第二数据库通信; 以及基于所述处理器基于所述低分辨率整体简档，所述非电信息和所述训练数据来确定用于一个或多个设备的各个设备负载简档。

    Systems and Methods for Learning Appliance Signatures
    10.
    发明申请
    Systems and Methods for Learning Appliance Signatures 审中-公开

    公开(公告)号：US20170330103A1

    公开(公告)日：2017-11-16

    申请号：US15289175

    申请日：2016-10-09

    申请人： Alex Shyr ,  Vivek Garud ,  Abhay Gupta

    发明人： Alex Shyr ,  Vivek Garud ,  Abhay Gupta

    IPC分类号： G06N99/00 ,  G06N5/04

    CPC分类号： G01D4/00 ,  G06F1/26 ,  H04Q9/00 ,  Y04S20/38

    摘要： The present invention is generally directed to systems and methods for learning appliance signatures based at least in part upon, energy disaggregation techniques and user input Methods of the present invention may include retrieving energy consumption data pertaining to at least one home environment comprising one or more appliances; identifying one or more patterns in the energy consumption data by applying signal processing algorithms to the consumption data; generating at least one question for a user based at least in part on the one or more patterns; receiving a user input In response to the question; determining at least one appliance in the home environment, based at least in part on the one or more patterns and the user input; and determining an appliance signature by extracting a canonical pattern from the energy consumption data based at least in part on the user input.