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1. 发明申请

US20120278038A1 ESTIMATING MONTHLY HEATING OIL CONSUMPTION FROM FISCAL YEAR OIL CONSUMPTION DATA USING MULTIPLE REGRESSION AND HEATING DEGREE DAY DENSITY FUNCTION 审中-公开
标题翻译：使用多次回归和加热度密度函数估算每年的年度油耗消耗量的月度加热油消耗量
公开(公告)号：US20120278038A1
公开(公告)日：2012-11-01
申请号：US13098076
申请日：2011-04-29
申请人： Lianjun An , Huijing Jiang , Young Min Lee , Fei Liu , Estepan Meliksetian , Chandrasekhara K. Reddy
发明人： Lianjun An , Huijing Jiang , Young Min Lee , Fei Liu , Estepan Meliksetian , Chandrasekhara K. Reddy
IPC分类号： G06F19/00
CPC分类号： G06Q10/04 , F24D19/1048 , F24D19/1063 , F24D19/1081 , G06Q50/06
摘要： Estimating monthly heating oil consumption of a building that uses heating oil and non-oil source of energy, may include separating by applying statistical models, yearly consumption of oil data associated with the building into base load oil consumption and space heating oil consumption. The separating may also include determining monthly base load oil consumption associated with the building. Monthly space heating consumption of oil may be estimated by applying a heating degree day density function to the space heating oil consumption. The monthly space heating consumption may be aggregated with the monthly base load oil consumption to estimate the monthly heating oil consumption.
摘要翻译：估计使用取暖油和非油源能源的建筑物的每月采暖油消耗量可能包括通过应用统计模型分离，将与建筑相关的石油数据的年消耗量降低为基础油耗和空间采暖油消耗量。分离还可以包括确定与建筑物相关联的每月基础油耗。可以通过将加热度日密度函数应用于空间加热油消耗来估计每月空间加热消耗的油。每月空间采暖消耗量可以与每月基本负荷油耗相结合，以估算每月采暖油消耗量。

2. 发明授权

US08620632B2 Estimating building thermal properties by integrating heat transfer inversion model with clustering and regression techniques for a portfolio of existing buildings 失效
标题翻译：通过将传热反演模型与现有建筑组合的聚类和回归技术相结合来估计建筑物的热性能
公开(公告)号：US08620632B2
公开(公告)日：2013-12-31
申请号：US13168116
申请日：2011-06-24
申请人： Lianjun An , Young T. Chae , Raya Horesh , Young Min Lee , Chandrasekhara K. Reddy
发明人： Lianjun An , Young T. Chae , Raya Horesh , Young Min Lee , Chandrasekhara K. Reddy
IPC分类号： G06F17/50
CPC分类号： G01K17/20 , G06F17/5009 , G06F2217/16
摘要： A static heat transfer model is derived from a system of dynamic equations by integrating the dynamic equations over different time periods. That static heat transfer model links periodic (e.g., monthly) energy usage with cooling and heating degree hours, humidifying and dehumidifying hours. Its coefficients of measuring correlations correspond to the thermal parameters of buildings. Temporal data from a building may be used to estimate the overall heat transfer parameters. A clustering scheme may be developed to decompose all the buildings into different clusters based on one or more similarity criteria. The overall heat transfer parameters are separated into values for the wall, roof and window using multiple buildings' data in the same cluster or group.
摘要翻译：通过在不同时间段内整合动态方程，从动态方程组得到静态热传递模型。该静态热传递模型将周期性（例如，每月）能量消耗与冷却和加热度小时连接，加湿和除湿小时。其测量相关系数对应于建筑物的热参数。来自建筑物的时间数据可用于估计总体传热参数。可以开发聚类方案以基于一个或多个相似性标准将所有建筑物分解成不同的群集。使用同一群集或群组中多个建筑物的数据将总体传热参数分为墙壁，屋顶和窗户的值。

3. 发明申请

US20120330626A1 ESTIMATING BUILDING THERMAL PROPERTIES BY INTEGRATING HEAT TRANSFER INVERSION MODEL WITH CLUSTERING AND REGRESSION TECHNIQUES FOR A PORTFOLIO OF EXISTING BUILDINGS 失效
标题翻译：通过集成和回收技术整合现有建筑物的传统技术来估算建筑热性能
公开(公告)号：US20120330626A1
公开(公告)日：2012-12-27
申请号：US13168116
申请日：2011-06-24
申请人： Lianjun An , Young Tae Chae , Raya Horesh , Young Min Lee , Chandrasekhara K. Reddy
发明人： Lianjun An , Young Tae Chae , Raya Horesh , Young Min Lee , Chandrasekhara K. Reddy
IPC分类号： G06F17/10
CPC分类号： G01K17/20 , G06F17/5009 , G06F2217/16
摘要： A static heat transfer model is derived from a system of dynamic equations by integrating the dynamic equations over different time periods. That static heat transfer model links periodic (e.g., monthly) energy usage with cooling and heating degree hours, humidifying and dehumidifying hours. Its coefficients of measuring correlations correspond to the thermal parameters of buildings. Temporal data from a building may be used to estimate the overall heat transfer parameters. A clustering scheme may be developed to decompose all the buildings into different clusters based on one or more similarity criteria. The overall heat transfer parameters are separated into values for the wall, roof and window using multiple buildings' data in the same cluster or group.
摘要翻译：通过在不同时间段内整合动态方程，从动态方程组得到静态热传递模型。该静态热传递模型将周期性（例如，每月）能量消耗与冷却和加热度小时连接，加湿和除湿小时。其测量相关系数对应于建筑物的热参数。来自建筑物的时间数据可用于估计总体传热参数。可以开发聚类方案以基于一个或多个相似性标准将所有建筑物分解成不同的群集。使用同一群集或群组中多个建筑物的数据将总体传热参数分为墙壁，屋顶和窗户的值。

4. 发明申请

US20120278051A1 ANOMALY DETECTION, FORECASTING AND ROOT CAUSE ANALYSIS OF ENERGY CONSUMPTION FOR A PORTFOLIO OF BUILDINGS USING MULTI-STEP STATISTICAL MODELING 有权
标题翻译：异常检测，预测和根本原因分析使用多步统计建模的建筑物组合能源消耗
公开(公告)号：US20120278051A1
公开(公告)日：2012-11-01
申请号：US13098044
申请日：2011-04-29
申请人： Huijing Jiang , Young Min Lee , Fei Liu
发明人： Huijing Jiang , Young Min Lee , Fei Liu
IPC分类号： G06F17/10 , G06F19/00 , G01R19/00
CPC分类号： G06Q10/04 , G06Q50/06
摘要： Multi-step statistical modeling in one embodiment of the present disclosure enables anomaly detection, forecasting and/or root cause analysis of the energy consumption for a portfolio of buildings using multi-step statistical modeling. In one aspect, energy consumption data associated with a building, building characteristic data associated with the building, building operation and activities data associated with the building, and weather data are used to generate a variable based degree model. A base load factor, a heating coefficient and a cooling coefficient associated with the building and an error term are determined from the variable based degree model and used to generate a plurality of multivariate regression models. A time series model is generated for the error term to model seasonal factors which reflect monthly dependence on energy use and an auto-regressive integrated moving average model (ARIMA) which reflects temporal dependent patterns of the energy use.
摘要翻译：在本公开的一个实施例中的多步统计建模使得能够使用多步统计建模对建筑物组合的能量消耗进行异常检测，预测和/或根本原因分析。一方面，使用与建筑物相关联的能量消耗数据，构建与建筑物相关联的特征数据，建筑物操作和与建筑物相关联的活动数据以及天气数据来生成基于变量的度模型。从基于变量的度模型确定基础负荷因子，与建筑物相关联的加热系数和冷却系数以及误差项，并用于产生多个多元回归模型。为误差项生成时间序列模型，以模拟每月依赖能源使用的季节因素和反映能量使用的时间依赖模式的自回归积分移动平均模型（ARIMA）。

5. 发明授权

US08738334B2 Anomaly detection, forecasting and root cause analysis of energy consumption for a portfolio of buildings using multi-step statistical modeling 有权
标题翻译：使用多步统计建模的建筑物组合能耗的异常检测，预测和根本原因分析
公开(公告)号：US08738334B2
公开(公告)日：2014-05-27
申请号：US13098044
申请日：2011-04-29
申请人： Huijing Jiang , Young Min Lee , Fei Liu
发明人： Huijing Jiang , Young Min Lee , Fei Liu
IPC分类号： G06F17/10
CPC分类号： G06Q10/04 , G06Q50/06
摘要： Multi-step statistical modeling in one embodiment of the present disclosure enables anomaly detection, forecasting and/or root cause analysis of the energy consumption for a portfolio of buildings using multi-step statistical modeling. In one aspect, energy consumption data associated with a building, building characteristic data associated with the building, building operation and activities data associated with the building, and weather data are used to generate a variable based degree model. A base load factor, a heating coefficient and a cooling coefficient associated with the building and an error term are determined from the variable based degree model and used to generate a plurality of multivariate regression models. A time series model is generated for the error term to model seasonal factors which reflect monthly dependence on energy use and an auto-regressive integrated moving average model (ARIMA) which reflects temporal dependent patterns of the energy use.
摘要翻译：在本公开的一个实施例中的多步统计建模使得能够使用多步统计建模对建筑物组合的能量消耗进行异常检测，预测和/或根本原因分析。一方面，使用与建筑物相关联的能量消耗数据，构建与建筑物相关联的特征数据，建筑物操作和与建筑物相关联的活动数据以及天气数据来生成基于变量的度模型。从基于变量的度模型确定基础负荷因子，与建筑物相关联的加热系数和冷却系数以及误差项，并用于产生多个多元回归模型。为误差项生成时间序列模型，以模拟每月依赖能源使用的季节因素和反映能量使用的时间依赖模式的自回归积分移动平均模型（ARIMA）。

6. 发明申请

US20120316914A1 SCHEDULING OF ENERGY CONSUMING ACTIVITIES FOR BUILDINGS 审中-公开
标题翻译：能源消费建筑活动安排
公开(公告)号：US20120316914A1
公开(公告)日：2012-12-13
申请号：US13156997
申请日：2011-06-09
申请人： Young Min Lee , Chandrasekhara K. Reddy
发明人： Young Min Lee , Chandrasekhara K. Reddy
IPC分类号： G06Q10/00
CPC分类号： G06Q10/06
摘要： Scheduling of building activities may be generated based on an objective function developed to optimize energy cost associated with performing activities in a building, which activities consume energy. The objective function may be solved based on the received plurality of activities, the energy sources consumed by the activities, the prices of energy, and subject to the one or more constraints.
摘要翻译：建筑活动的安排可以基于为了优化与建筑物中的活动相关联的能量成本而开发的目标函数而产生，哪些活动消耗能量。可以基于接收到的多个活动，活动消耗的能量，能量的价格，并受到一个或多个约束的影响来解决目标函数。

7. 发明授权

US08355941B2 Optimal planning of building retrofit for a portfolio of buildings 失效
标题翻译：建筑物组合改造的最佳规划
公开(公告)号：US08355941B2
公开(公告)日：2013-01-15
申请号：US13150721
申请日：2011-06-01
申请人： Young Min Lee , Chandrasekhara K. Reddy
发明人： Young Min Lee , Chandrasekhara K. Reddy
IPC分类号： G06F17/50
CPC分类号： G06Q10/06313 , G06Q10/04 , G06Q50/06 , G06Q50/16
摘要： Generating an optimal planning of building retrofit for a portfolio of buildings may include providing a plurality of objective functions that may be selected for maximizing cost reduction, maximizing green house gas emission reduction, or maximizing energy reduction, or combinations thereof. The objective function may be solved based on information including at least a retrofit cost for retrofitting a building, payback period specifying the length of time needed to recover the retrofit cost, a budget available for retrofitting the building, expected price of energy, estimated energy savings from retrofitting and estimated green house gas emission from retrofitting. The planning of building retrofit may be generated based on the solutions of one or more of the objective functions, which may provide for an optimal plan of building retrofit.
摘要翻译：为建筑物组合生成建筑物改造的最佳规划可以包括提供可以选择用于最大化成本降低，最大化温室气体排放减少或最大化能量减少或其组合的多个目标函数。目标功能可以基于至少包括改造建筑物的改造成本的信息来解决，回收期限指定恢复改造成本所需的时间长度，可用于改造建筑物的预算，能源的预期价格，估计的能量节约从改造和估计温室气体排放改造。可以基于一个或多个目标函数的解决方案来生成建筑物改造的规划，其可以提供建筑改造的最佳计划。

8. 发明申请

US20120310689A1 OPTIMAL PLANNING OF BUILDING RETROFIT FOR A PORTFOLIO OF BUILDINGS 失效
标题翻译：建筑改造建筑改造的最佳规划
公开(公告)号：US20120310689A1
公开(公告)日：2012-12-06
申请号：US13150721
申请日：2011-06-01
申请人： Young Min Lee , Chandrasekhara K. Reddy
发明人： Young Min Lee , Chandrasekhara K. Reddy
IPC分类号： G06Q10/00
CPC分类号： G06Q10/06313 , G06Q10/04 , G06Q50/06 , G06Q50/16
摘要： Generating an optimal planning of building retrofit for a portfolio of buildings may include providing a plurality of objective functions that may be selected for maximizing cost reduction, maximizing green house gas emission reduction, or maximizing energy reduction, or combinations thereof. The objective function may be solved based on information including at least a retrofit cost for retrofitting a building, payback period specifying the length of time needed to recover the retrofit cost, a budget available for retrofitting the building, expected price of energy, estimated energy savings from retrofitting and estimated green house gas emission from retrofitting. The planning of building retrofit may be generated based on the solutions of one or more of the objective functions, which may provide for an optimal plan of building retrofit.
摘要翻译：为建筑物组合生成建筑物改造的最佳规划可以包括提供可以选择用于最大化成本降低，最大化温室气体排放减少或最大化能量减少或其组合的多个目标函数。目标功能可以基于至少包括改造建筑物的改造成本的信息来解决，回收期限指定恢复改造成本所需的时间长度，可用于改造建筑物的预算，能源的预期价格，估计的能量节约从改造和估计温室气体排放改造。可以基于一个或多个目标函数的解决方案来生成建筑物改造的规划，其可以提供建筑改造的最佳计划。

9. 发明申请

US20080177614A1 METHOD AND SYSTEM FOR ESTIMATING DYNAMICS OF WORKFORCE ABSENTEEISM USING INFORMATION ON PANDEMIC SPREAD AND MITIGATION ACTIONS 审中-公开
标题翻译：方法和用于估计WORKFORCE旷工动力学利用信息ON大规模蔓延和减缓行动
公开(公告)号：US20080177614A1
公开(公告)日：2008-07-24
申请号：US11626452
申请日：2007-01-24
申请人： Lianjun An , Stephen John Buckley , Young Min Lee
发明人： Lianjun An , Stephen John Buckley , Young Min Lee
IPC分类号： G06F9/46
CPC分类号： G16H50/80 , G06Q10/04 , G06Q10/06311 , G06Q10/06375 , G16H50/50
摘要： The present invention provides a method and system estimating the likelihood of employees not being available for work as a result of pandemic occurrence and effectiveness of related mitigation actions. The invention allows users to assess the impact of pandemic on availability of corporate workforce and to estimate the effectiveness of various corporate mitigation actions in terms of how such actions may reduce the adverse effects of a pandemic on employee availability by incorporating information on infection rate, perception, needs for family care and infrastructure availability into a system of algebraic and differential equations.
摘要翻译：本发明提供了一种方法和系统，其估计由于大流行发生和相关缓解行动的有效性而不能工作的雇员的可能性。本发明允许用户以评估企业的劳动力可用性大流行的影响并通过将上感染率，感知信息来估计在这样的动作可以如何减少对雇员可用性的大流行的不利影响方面的各种商务缓解动作的有效性，家庭关怀和基础设施可用性的需求转化为代数和微分方程组。

10. 发明申请

US20080172262A1 Method and System for Disaster Mitigation Planning and Business Impact Assessment 审中-公开
标题翻译：减灾规划和业务影响评估方法与制度
公开(公告)号：US20080172262A1
公开(公告)日：2008-07-17
申请号：US11622705
申请日：2007-01-12
申请人： Lianjun An , Stephen John Buckley , Ching-Hua Chen-Ritzo , Pawan Raghunath Chowdhary , Thomas Robert Ervolina , Daniel A. Ford , Igor Frolow , Naveen Lamba , Young Min Lee , Prakaah Mukkarmala , Dharmashankar Subramanian
发明人： Lianjun An , Stephen John Buckley , Ching-Hua Chen-Ritzo , Pawan Raghunath Chowdhary , Thomas Robert Ervolina , Daniel A. Ford , Igor Frolow , Naveen Lamba , Young Min Lee , Prakaah Mukkarmala , Dharmashankar Subramanian
IPC分类号： G06Q10/00
CPC分类号： G06Q40/08 , G06Q10/0637 , G06Q10/06375 , G06Q10/0639
摘要： The present invention provides a method and system making it possible to reduce a description of the impact of a disaster on the world at large to measurable, firm-specific operational and financial implications. This makes it possible to bridge the divide between disaster prediction and business planning by facilitating the translation of physical and other effects of a disaster on a business into a dollars-and-cents impact. The present invention also allows a user to evaluate the costs and benefits of various disaster mitigation plans and/or policies and to understand the combined effects of multiple mitigation plans.
摘要翻译：本发明提供了一种方法和系统，使得可以将对灾难对世界的影响的描述减少到可衡量的，具体的业务和财务影响。这有可能弥合灾难预测与业务规划之间的鸿沟，促进灾难对企业的物理和其他影响的翻译成美元和影响。本发明还允许用户评估各种减灾计划和/或策略的成本和收益，并且了解多个缓解计划的综合影响。

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