公开(公告)号：WO2016007735A1

公开(公告)日：2016-01-14

申请号：PCT/US2015/039729

申请日：2015-07-09

Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

Inventor： GEORGESCU, Michael V. ,  MEZIC, Igor

IPC: G05D3/12

CPC classification number: G06N5/048 ,  F24F11/30 ,  F24F11/62 ,  F24F2110/10 ,  F24F2120/10 ,  G05B15/02 ,  G05B2219/2642 ,  G05F1/66 ,  G06Q10/04 ,  G06Q10/109 ,  G06Q50/06

Abstract: Systems and methods are disclosed for the generation of more accurate usage profiles for use in the modeling of existing buildings. Building sensor data associated with individual rooms in a building can be decomposed using wavelets to identify features that correspond to heat loads generated by occupant presence and/or equipment operation. From this information, the occupancy state of individual rooms can be estimated. The estimated occupancy state for the individual rooms in the building then can be used to generate a usage profile for the building. The usage profile can be used to estimate current and/or future energy usage or costs or to control equipment in the building at a current and/or future time.

Abstract translation: 公开了用于生成用于建筑现有建筑物的更准确的使用简档的系统和方法。 可以使用小波来分解与建筑物中的各房间相关联的传感器数据，以识别对应于乘员存在和/或设备操作产生的热负荷的特征。 根据这些信息，可以估计单个房间的占用状态。 建筑物中单独房间的估计占用状态可用于生成建筑物的使用情况。 使用情况简介可用于估计当前和/或未来的能源使用或成本，或者在当前和/或将来的时间内对建筑物中的设备进行控制。

公开(公告)号：WO2016044783A1

公开(公告)日：2016-03-24

申请号：PCT/US2015/051048

申请日：2015-09-18

Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

Inventor： MEZIC, Igor ,  SUSUKI, Yoshihiko

IPC: G05F5/00 ,  G06F17/50 ,  G06F1/28

CPC classification number: H02J13/001 ,  Y02E60/74 ,  Y04S10/30 ,  Y04S10/40

Abstract: A system and method for stability monitoring, analysis, and control of energy systems, such as electric power systems, is provided. Specifically, the system and method described herein use a Koopman mode analysis to represent the operation of individual components in an energy system and/or to determine and rank a level of stability of the individual components in the energy system. The system and method described herein also use a Koopman mode analysis to determine optimal and/or safe times to release energy stored in storage systems.

Abstract translation: 提供了一种用于能量系统稳定性监测，分析和控制的系统和方法，如电力系统。 具体来说，本文描述的系统和方法使用Koopman模式分析来表示能量系统中各个组件的操作和/或确定和排列能量系统中各个组件的稳定性水平。 本文所述的系统和方法还使用Koopman模式分析来确定最佳和/或安全时间以释放存储在存储系统中的能量。

公开(公告)号：WO2015196133A2

公开(公告)日：2015-12-23

申请号：PCT/US2015/036779

申请日：2015-06-19

Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

Inventor： GEORGESCU, Michael V. ,  MEZIC, Igor

CPC classification number: G06N99/005 ,  G05B23/0221

Abstract: A system and method are provided for physical data rectification using regression models. For example, the physical data may be energy infrastructure sensor data. The system may perform an estimation of sensor data during periods of data dropout using a regression model. The system may assess the accuracy of regression models through the comparison of probability distribution functions of physical data estimated using the regression model and actual physical data.

Abstract translation: 提供了使用回归模型进行物理数据整理的系统和方法。 例如，物理数据可以是能量基础设施传感器数据。 系统可以使用回归模型在数据丢失期间执行传感器数据的估计。 该系统可以通过比较使用回归模型估计的物理数据的概率分布函数和实际物理数据来评估回归模型的准确性。

公开(公告)号：WO2012019022A2

公开(公告)日：2012-02-09

申请号：PCT/US2011/046620

申请日：2011-08-04

Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA ,  MEZIC, Igor ,  EISENHOWER, Bryan A.

Inventor： MEZIC, Igor ,  EISENHOWER, Bryan A.

IPC: G06F19/00

CPC classification number: G01R19/00 ,  F24F11/47 ,  G05B15/02 ,  G06F17/5004

Abstract: Systems and methods are disclosed for analyzing building sensor information and decomposing the information therein to a more manageable and more useful form. Certain embodiments integrate energy-based and spectral-based analysis methods with parameter sampling and uncertainty/sensitivity analysis to achieve a more comprehensive perspective of building behavior. The results of this analysis may be presented to a user via a plurality of visualizations and/or used to automatically adjust certain building operations. In certain embodiments, advanced spectral techniques, including Koopman-based operations, are employed to discern features from the collected building sensor data.

Abstract translation: 公开了用于分析建筑物传感器信息并将其中的信息分解成更易于管理和更有用的形式的系统和方法。 某些实施例将基于能量和基于频谱的分析方法与参数采样和不确定性/敏感性分析相结合，以实现更全面的建筑行为观点。 该分析的结果可以经由多个可视化呈现给用户和/或用于自动调整某些建筑操作。 在某些实施例中，采用包括基于Koopman的操作的高级光谱技术来从所收集的建筑物传感器数据中辨别特征。