公开(公告)号：US10274525B2

公开(公告)日：2019-04-30

申请号：US15363750

申请日：2016-11-29

申请人： YALE UNIVERSITY

发明人： Andreas Savvides ,  Deokwoo Jung

IPC分类号： H02J3/14 ,  G01R21/133 ,  G06Q50/06 ,  H02J13/00

摘要： Systems and methods are provided for estimating power breakdowns for a set of one or more appliances inside a building by exploiting a small number of power meters and data indicative of binary power states of individual appliances of such set. In one aspect, a breakdown estimation problem is solved within a tree configuration, and utilizing a single power meter and data indicative of binary power states of a plurality of appliances. Based at least in part on such solution, an estimation quality metric is derived. In another aspect, such metric can be exploited in a methodology for optimally placing additional power meters to increase the estimation certainty for individual appliances to a desired or intended level. Estimated power breakdown and energy breakdown—individually or collectively referred to as consumption breakdown—rely on measurements and numerical simulations, and can be evaluated in exemplary electrical network utilizing binary sensors.

公开(公告)号：US20170146576A1

公开(公告)日：2017-05-25

申请号：US15363750

申请日：2016-11-29

申请人： YALE UNIVERSITY

发明人： Andreas Savvides ,  Deokwoo Jung

IPC分类号： G01R21/133 ,  H02J3/14 ,  H02J13/00

CPC分类号： G01R21/1333 ,  G06Q50/06 ,  H02J3/14 ,  H02J13/0017 ,  H02J2003/143 ,  Y02B90/2607 ,  Y04S10/527 ,  Y04S40/12

摘要： Systems and methods are provided for estimating power breakdowns for a set of one or more appliances inside a building by exploiting a small number of power meters and data indicative of binary power states of individual appliances of such set. In one aspect, a breakdown estimation problem is solved within a tree configuration, and utilizing a single power meter and data indicative of binary power states of a plurality of appliances. Based at least in part on such solution, an estimation quality metric is derived. In another aspect, such metric can be exploited in a methodology for optimally placing additional power meters to increase the estimation certainty for individual appliances to a desired or intended level. Estimated power breakdown and energy breakdown—individually or collectively referred to as consumption breakdown—rely on measurements and numerical simulations, and can be evaluated in exemplary electrical network utilizing binary sensors.