Oriented Wireless Structural Health and Seismic Monitoring
    4.
    发明申请
    Oriented Wireless Structural Health and Seismic Monitoring 审中-公开
    面向无线结构健康和地震监测

    公开(公告)号:US20140316708A1

    公开(公告)日:2014-10-23

    申请号:US14256952

    申请日:2014-04-19

    IPC分类号: G01V1/30

    摘要: A sensor for structural health monitoring includes a tri-axis microelectromechanical systems (MEMS) accelerometer and a tri-axis MEMS gyrometer. Sampled 3D accelerometer data and 3D gyrometer data are processed using integration and sensor fusion to produce an estimate of 3D rotation of the sensor device and an estimate of 3D displacement of the sensor device expressed in a global reference frame. The sensor measurements may also be corrected using structural model information. Optionally, the sensor may include a tri-axis MEMS magnetometer and use the 3D magnetometer data to increase the accuracy of the estimates. The sensor transmits the estimates wirelessly to a central unit for assessing structural damage.

    摘要翻译: 用于结构健康监测的传感器包括三轴微机电系统(MEMS)加速度计和三轴MEMS陀螺仪。 使用集成和传感器融合处理采样的3D加速度计数据和3D陀螺仪数据,以产生传感器装置的3D旋转的估计和在全局参考系中表示的传感器装置的3D位移的估计。 也可以使用结构模型信息来校正传感器测量结果。 可选地,传感器可以包括三轴MEMS磁强计,并且使用3D磁力计数据来增加估计的准确度。 传感器将无线估计传输到中央单元以评估结构损坏。

    Systems and Methods for Coordinating Distributed Energy Storage

    公开(公告)号:US20180358812A1

    公开(公告)日:2018-12-13

    申请号:US15973374

    申请日:2018-05-07

    摘要: Systems and methods for coordinating distributed energy storage in accordance with embodiments of the invention are illustrated. One embodiment includes a power distribution network, including a set of nodes, wherein a node includes a controllable load, an uncontrollable load, and a local controller, a substation connected to each node in the set of nodes by a set of distribution lines, and a global controller including a processor, a memory, and a communications device, wherein the global controller obtains load parameters from at least one node, calculates coordination parameters for each node based on the obtained load parameters, and asynchronously provides the coordination parameters to each of the nodes in the set of nodes, and wherein each node independently obtains coordination parameters, and controls the operation of its controllable load using the local controller based on the coordination parameters and a local load profile describing at least the uncontrollable load.

    Method and system for profiling and scheduling of thermal residential energy use for demand-side management programs
    7.
    发明申请
    Method and system for profiling and scheduling of thermal residential energy use for demand-side management programs 审中-公开
    用于需求侧管理方案的热能住宅用能分析和调度方法与系统

    公开(公告)号:US20150332294A1

    公开(公告)日:2015-11-19

    申请号:US14716763

    申请日:2015-05-19

    IPC分类号: G06Q30/02

    CPC分类号: G06Q50/06 G06Q30/0202

    摘要: A methodology is provided for informing targeted Demand-Response (DR) and marketing programs that focus on the temperature-sensitive part of residential electricity demand. The methodology uses energy consumption readings collected from “smart” electricity meters, as well as hourly temperature readings. Individual consumption is decomposed into a thermal-sensitive part and a base load (non thermally-sensitive), a model of temperature response that is based on thermal regimes, i.e., unobserved decisions of customers to use their heating or cooling appliances. This model is used to extract useful benchmarks that compose a thermal profiles of individual customers, i.e., terse characterizations of the statistics of these customers' temperature-sensitive consumption. This knowledge may, in turn, inform the DR program by allowing scarce operational and marketing budgets to be spent on customers whose influencing will yield highest energy reductions at the right time. Methods are also provided for scheduling optimal, individual customer controls of the thermal appliance to achieve a desired profile of the aggregate energy reductions.

    摘要翻译: 提供了一种方法,用于指导针对需求响应(DR)和专注于住宅用电需求的温度敏感部分的营销计划。 该方法使用从“智能”电表收集的能量消耗读数以及每小时温度读数。 单个消耗被分解为热敏部分和基本负载(非热敏感),基于热状态的温度响应模型,即客户使用其加热或冷却设备的不可观察的决定。 该模型用于提取组成个体客户热图的有用基准,即这些客户对温度敏感消费的统计数据的简洁描述。 这种知识可以通过将稀缺的运营和营销预算用于在影响力在正确的时间产生最高能量减少的客户的情况下,向DR计划通报。 还提供了用于调度热设备的最佳个体客户控制以实现总能量减少的期望分布的方法。

    Data-driven targeting of energy programs using time-series data
    8.
    发明申请
    Data-driven targeting of energy programs using time-series data 审中-公开
    使用时间序列数据的数据驱动的能源计划目标

    公开(公告)号:US20150186827A1

    公开(公告)日:2015-07-02

    申请号:US14567648

    申请日:2014-12-11

    IPC分类号: G06Q10/06 G06Q50/06 G06Q30/02

    摘要: A method for enrolling utility customers in utility demand response or energy efficiency programs based on time-series consumption data includes collecting from smart meter sensors time-series utility consumption data from individual utility customers, extracting features from the consumption data, generating a probabilistic response model for each customer representing a relationship between the extracted features and customer program performance by estimating parameters of a response distribution, solving an optimization problem for each customer using the estimated response distribution to achieve a targeting objective, and enrolling selected customers in programs based on the solution to the optimization problem.

    摘要翻译: 基于时间序列消耗数据的公用事业需求响应或能源效率程序登记公用事业客户的方法包括从智能电表传感器收集来自各个公用事业客户的时间序列公用事业消费数据,从消费数据中提取特征,生成概率响应模型 通过估计响应分布的参数来表示提取的特征和客户程序性能之间的关系的每个客户,使用估计的响应分布来解决每个客户的优化问题以实现定向目标,以及基于该解决方案在所选程序中注册所选客户 到优化问题。

    BEHIND-THE-METER RESOURCE MANAGEMENT SYSTEM

    公开(公告)号:US20220321664A1

    公开(公告)日:2022-10-06

    申请号:US17703621

    申请日:2022-03-24

    IPC分类号: H04L67/125 H02J3/00

    摘要: A method and a system for managing power resources. One or more measurements received from one or more sensors communicatively coupled to at least one processor are processed. The sensors monitor and measure at least one of: one or more operational parameters associated with operation of at least one equipment, one or more external parameters associated with an environment of the equipment, and one or more power parameters associated with a power consumption by the equipment. Based on the processed one or more measurements, one or more future operational parameters associated with an operation of the are determined. The operation of the equipment is controlled using the determined future operational parameters.