Electric Vehicle Disaggregation and Detection in Whole-House Consumption Signals

    公开(公告)号:US20190154741A1

    公开(公告)日:2019-05-23

    申请号:US16259748

    申请日:2019-01-28

    IPC分类号: G01R21/133 B60L53/66

    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: a method of electronically detecting and disaggregating a consumption signal associated with the charging of an electric vehicle from a whole-house profile, comprising: identifying by an electronic processor potential interval candidates of electric vehicle charging; 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 against factors including amplitude, duration, and time-of-day; and accounting by the electronic processor for feedback of any incorrectly detected signals.

    Solar Energy Disaggregation Techniques for Whole-House Energy Consumption Data
    4.
    发明申请
    Solar Energy Disaggregation Techniques for Whole-House Energy Consumption Data 审中-公开
    全能耗数据的太阳能分解技术

    公开(公告)号:US20150142347A1

    公开(公告)日:2015-05-21

    申请号:US14543805

    申请日:2014-11-17

    IPC分类号: G01R21/133 G01W1/10

    CPC分类号: G01R21/133 G01W1/10 H02S50/00

    摘要: Systems and methods of the present invention are directed to disaggregating the contribution of solar panels from a whole house energy profile. Methods of disaggregating energy produced by solar panels from low frequency whole-house energy consumption data for a specific house, may include steps of: predicting solar energy generation for the specific house by estimating a solar capacity of the solar panels, predicting solar intensity associated with the specific house, and multiplying estimated solar capacity with predicted solar intensity; and subtracting the predicted solar energy generation from the low frequency whole house energy consumption data, thereby disaggregating the contribution of energy produced by the solar panels. Computerized systems of the same may apply machine learning models such as radial basis function, support vector, or neural network machines.

    摘要翻译: 本发明的系统和方法旨在分解太阳能电池板与整个房屋能量分布的贡献。 将太阳能电池板产生的能量分解为特定房屋的低频全屋能耗数据的方法可能包括以下步骤:通过估算太阳能电池板的太阳能容量来预测太阳能发电,预测太阳能发电量与 特定的房屋,并估计太阳能容量与预测的太阳能强度相乘; 并从低频整体能量消耗数据中减去预测的太阳能产生,从而分解由太阳能电池板产生的能量的贡献。 相同的计算机系统可以应用机器学习模型,例如径向基函数,支持向量或神经网络机器。

    Systems and methods for optimizing energy usage using energy disaggregation data and time of use information

    公开(公告)号:US11435772B2

    公开(公告)日:2022-09-06

    申请号:US14845189

    申请日:2015-09-03

    摘要: The present invention is generally directed to systems and methods for optimizing energy usage in a household. For example, methods for optimizing energy usage in a household may include steps of: receiving, using an energy optimization device, entire energy profile data associated with the household; obtaining, using the energy optimization device, time of use (TOU) energy pricing structure; processing, the entire energy profile data to generate disaggregated appliance level data related to one or more appliances used in the household; retrieving historical patterns of energy usage of the household during both peak and non-peak time periods; applying a behavior shift analysis on the disaggregated data based at least in part on the TOU energy pricing structure, disaggregated data, and historical patterns of the energy usage; and predicting potential energy savings based at least in part on the behavior shift analysis.

    Energy disaggregation techniques for whole-house energy consumption data

    公开(公告)号:US10460274B2

    公开(公告)日:2019-10-29

    申请号:US14543824

    申请日:2014-11-17

    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.

    Systems and Methods for Managing Energy Usage Using Disaggregated Energy Data
    8.
    发明申请
    Systems and Methods for Managing Energy Usage Using Disaggregated Energy Data 审中-公开
    使用分解能源数据管理能源使用的系统和方法

    公开(公告)号:US20160070285A1

    公开(公告)日:2016-03-10

    申请号:US14844906

    申请日:2015-09-03

    IPC分类号: G05F1/66 G05B15/02

    摘要: The present invention is generally directed to systems and methods for managing energy usage in a household. Exemplary methods may include receiving, using an energy management device, entire energy profile data associated with the household generated in a first time period; disaggregating, using the energy management device, the entire energy profile data to determine energy usage associated with one or more appliances used in the household; retrieving, using the energy management device, energy usage of the household generated in a second time period; detecting, using the energy management device, one or more deviations in the disaggregated energy data generated in the first time period based on the energy data of the household generated in the second time period; and identifying, using the energy management device, one or more causes of the one or more deviations.

    摘要翻译: 本发明一般涉及用于管理家庭中的能量使用的系统和方法。 示例性方法可以包括:使用能量管理装置接收在第一时间段内产生的与家庭相关联的整个能量简档数据; 使用能量管理装置分解整个能量曲线数据以确定与家用中使用的一种或多种装置相关联的能量使用; 使用能量管理装置检索在第二时间段内产生的家庭的能量使用; 基于在第二时间段内生成的家庭的能量数据,检测使用能量管理装置在第一时间段中生成的分解能量数据中的一个或多个偏差; 以及使用所述能量管理装置识别所述一个或多个偏差的一个或多个原因。

    Systems and Methods for Learning Appliance Signatures

    公开(公告)号:US20170330103A1

    公开(公告)日:2017-11-16

    申请号:US15289175

    申请日:2016-10-09

    IPC分类号: G06N99/00 G06N5/04

    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.

    Electric Vehicle Disaggregation and Detection in Whole-House Consumption Signals
    10.
    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

    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。