Honeywell International Inc.

Ademco Inc.

Wendy Foslien Graber

Soumitri N Kolavennu

Pradeep Shetty

Keith L Curtner

Purnaprajna Raghavendra Mangsuli

Hai D Pham

Anoop Kumar Mathur

Valerie Guralnik

Hari Thiruvengada

Paul Derby

Pallavi Dharwada

Girija Parthasarathy

Suresh Advani

Petr Stluka

Zdenek Schindler

Datta Godbole

Roman Navratil

Sanjay Parthasarathy

Roderic C Don

Anand Tharanathan

Karl Steiner

Simon Bickerton

Ercument Murat Sozer

A controller for controlling energy consumption in a home includes a constraints engine to define variables for multiple appliances in the home corresponding to various home modes and persona of an occupant of the home. A modeling engine models multiple paths of energy utilization of the multiple appliances to place the home into a desired state from a current context. An optimal scheduler receives the multiple paths of energy utilization and generates a schedule as a function of the multiple paths and a selected persona to place the home in a desired state.

System and method for optimal load and source scheduling in context aware homes

An energy management device providing a series of user interface enhancements that enable the creation and modification of energy management schedules. The energy management device may provide these user interface enhancements in connection with a touch screen interface, as the user interface receives and processes a variety of touch screen gestures from users intended to create and manipulate the energy management schedules. The user interface enhancements may include calendar views with customizable periods of interest, calendar views with overlays of scheduling and pricing information, and clocks providing runtime indications of specific energy consuming systems.

Intuitive scheduling for energy management devices

A system and method include determining a state of a batch process. Historical segments are retrieved from a historical database of trajectories of the batch process as a function of the state of the batch process. A model is created as a function of the retrieved historical segments. The model is used to provide state information about the batch process and may then be discarded.

Batch process monitoring using local multivariate trajectories

A computer implemented method includes providing information related to wind speed and direction prediction to a wind turbine energy prediction module, providing wind energy production prediction information to a resource allocation engine, and combining the wind energy production prediction information with information about non-renewable energy resources to provide an output identifying energy production resources to use for optimal load servicing.

Energy resource allocation including renewable energy sources

A system and method are used to connect an installed device to a local premise network, such as a home network provided by a router in the home. A user may use a host device, such as a mobile telephone that is already connected to the home network to provide the home network credentials to the installed device without having to enter the home network credentials manually into the installed device such as a thermostat.

Provisioning credentials for embedded wireless devices

Principle Component Analysis (PCA) is used to model a process, and clustering techniques are used to group excursions representative of events based on sensor residuals of the PCA model. The PCA model is trained on normal data, and then run on historical data that includes both normal data, and data that contains events. Bad actor data for the events is identified by excursions in Q (residual error) and T2 (unusual variance) statistics from the normal model, resulting in a temporal sequence of bad actor vectors. Clusters of bad actor patterns that resemble one another are formed and then associated with events.

Principal component analysis based fault classification

A sensor placement algorithm uses process data to determine the optimal distribution of sensors in a distributed parameter manufacturing system. An automatic classification procedure maps any problems in the process to a predetermined set of process disturbances. A control procedure uses process data to determine the best control action that will ensure good system response. Methods for sensor placement, automatic decision tree classification, corrective action control and the apparatus to effectuate these respective methods are integrated into a design methodology.

Resin transfer molding

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Woodbury, MN, United States of America

Wendy Foslien Graber