Abstract: A predictive model for building energy consumption may be constructed and run to predict energy consumption in a building or to detect anomaly in energy consumption in a building or combinations thereof. Historic energy consumption data associated with energy consumed in a building may be received. Enthalpy of air outside the building may be determined. An energy consumption model may be calibrated based on the historic energy consumption data and the enthalpy of air outside the building. The energy consumption model incorporates enthalpy difference between a balance enthalpy and the enthalpy of air outside the building.

Abstract: Generating a heat transfer model for building energy may comprise developing a PDE model that describes heat transfer through building envelope of a building, and developing an ODE model that describes the heat transfer and thermal balance in a space inside the building. Stepwise parameter estimation integrates the PDE model and the ODE model in generating the heat transfer model.

Abstract: A predictive model for building energy consumption may be constructed and run to predict energy consumption in a building or to detect anomaly in energy consumption in a building or combinations thereof. Historic energy consumption data associated with energy consumed in a building may be received. Enthalpy of air outside the building may be determined. An energy consumption model may be calibrated based on the historic energy consumption data and the enthalpy of air outside the building. The energy consumption model incorporates enthalpy difference between a balance enthalpy and the enthalpy of air outside the building.

Abstract: A predictive model for building energy consumption may be constructed and run to predict energy consumption in a building or to detect anomaly in energy consumption in a building or combinations thereof. Historic energy consumption data associated with energy consumed in a building may be received. Enthalpy of air outside the building may be determined. An energy consumption model may be calibrated based on the historic energy consumption data and the enthalpy of air outside the building. The energy consumption model incorporates enthalpy difference between a balance enthalpy and the enthalpy of air outside the building.

Abstract: Generating a heat transfer model for building energy may comprise developing a PDE model that describes heat transfer through building envelope of a building, and developing an ODE model that describes the heat transfer and thermal balance in a space inside the building. Stepwise parameter estimation integrates the PDE model and the ODE model in generating the heat transfer model.

Abstract: The present invention provides a method, system and computer program product for implementing an automated inventory replenishment process between a manufacturer and a business partner. In one embodiment of the invention, a method is provided comprising the business partner purchasing and maintaining an inventory of goods from the manufacturer, and the manufacturer providing price protection to the business partner for the purchasing of the goods. This embodiment further comprises managing said inventory by using an automated process that takes into account said price protection for the purchasing of the goods.

Abstract: A control methodology and component in Business Performance Management (BPM) Systems. This enables firms to exploit control theoretic techniques for Business Performance Management. Information from BPM systems is used to calibrate models of the business process. This model is then used to assess and optimize control actions to manage business performance, on the basis of which a control action is selected for business process execution.

Abstract: 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.

Abstract: The present invention provides a method, system and computer program product for implementing an automated inventory replenishment process between a manufacturer and a business partner. In one embodiment of the invention, a method is provided comprising the business partner purchasing and maintaining an inventory of goods from the manufacturer, and the manufacturer providing price protection to the business partner for the purchasing of the goods. This embodiment further comprises managing said inventory by using an automated process that takes into account said price protection for the purchasing of the goods.

Abstract: 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.

Abstract: 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.

Abstract: The adaptive product conditioning is a computer-implemented method for identifying product configurations that can be provided to customers in reaction to supply imbalances. The methodology uses data mining techniques to collect and analyze business level meta data to coordinate supply and sales goals in terms of optimizing profits or managing product and technology transitions.

Abstract: The adaptive product conditioning is a computer-implemented method for identifying product configurations that can be provided to customers in reaction to supply imbalances. The methodology uses data mining techniques to collect and analyze business level meta data to coordinate supply and sales goals in terms of optimizing profits or managing product and technology transitions.

Abstract: The adaptive product conditioning is a computer-implemented method for identifying product configurations that can be provided to customers in reaction to supply imbalances. The methodology uses data mining techniques to collect and analyze business level meta data to coordinate supply and sales goals in terms of optimizing profits or managing product and technology transitions.

Abstract: A method and system for workforce planning in one aspect provide an optimization model that produce, based on the availability profile and the demand profile of skill types, a workforce plan recommending a combination of actions. The combination of actions may include hiring, contracting and cross-training. The optimization model considers constraints such as minimum residence time that a resource unit needs to spend in a skill-type that it gets cross-trained into or hired into, minimum acceptable contracting duration for a contracted skill type, first order and higher orders of cross-training for a skill type, with lead-time for training, one or more system rules associated with transfer sequences, or targets on service levels and resource utilization, or combinations thereof, in determining the workforce plan.

Abstract: A method, system and article of manufacture are disclosed for modeling a plan for deployment of smart meters in a plurality of locations that are attached to a grid operated by an energy provider that supplies energy to said locations, wherein the smart meters are used to measure the energy supplied by the energy provider to said locations. The method comprises the steps of using a market diffusion model to create a time-varying user adoption profile, including estimating the time lagged benefits realized from deployment of the smart meters; and estimating a response in the demand for said energy due to adoption of the smart meters. A program is used to capture the time-lagged benefits and a given set of constrains for a chosen planning time horizon to develop a meter deployment plan across the various locations and over that planning horizon.

Abstract: The present invention provides a method, system and computer program product for implementing an automated inventory replenishment process between a manufacturer and a business partner. In one embodiment of the invention, a method is provided comprising the business partner purchasing and maintaining an inventory of goods from the manufacturer, and the manufacturer providing price protection to the business partner for the purchasing of the goods. This embodiment further comprises managing said inventory by using an automated process that takes into account said price protection for the purchasing of the goods.

Abstract: An integrated method for achieving short-term activity resource staffing levels and long-term resource action planning for a portfolio of services projects is presented. The method establishes the short-term resource-staffing level for each project activity in a portfolio of services projects, subject to short-term resource availability in each skill type and substitutability among skill types. It further establishes the long-term resource-staffing level and long-term resource action planning using combination of a plurality of resource actions that include hiring, contracting, and cross-training of skill types.

Abstract: A portfolio generating system includes a portfolio optimizing unit configured to generate an optimized portfolio.

Abstract: The adaptive product conditioning is a computer-implemented method for identifying product configurations that can be provided to customers in reaction to supply imbalances. The methodology uses data mining techniques to collect and analyze business level meta data to coordinate supply and sales goals in terms of optimizing profits or managing product and technology transitions.