Abstract: The present disclosure describes a system, method, and computer program for modeling and predicting energy use by non-plug-load mechanical/electrical systems in a building, such as lighting systems or HVAC systems. The present disclosure also discloses methods for using such models and predictions to identify energy saving measures for a building. An energy-consumption model for a building is built from energy-consumption models for components within the mechanical-electrical systems. Inputs to the energy-consumption model (i.e., values of variables in the energy-consumption model) are measurable, and behavior models are created for each of the inputs primarily from sensor and/or other measurement-device data. Using the behavior models, weather data, and the energy-consumption model for the building, a predicted non-plug-load energy use for the building is calculated based on the current configurations of the mechanical/electrical systems.

Abstract: Methods for navigating a large amount of data are disclosed. In one embodiment, the present invention accesses a source of formatted warehoused data. The present invention then displays a grid on a display device. In one embodiment, the grid is an iconic representation of the formatted warehoused data. The grid is comprised of elements, each element corresponding to some portion of the formatted warehoused data. The present invention displays a portion of the formatted warehoused data on the display device in response to a selection of a corresponding element of the grid. In another embodiment, the formatted warehoused data is condensed so that it can be read in summary form to a user using a voice-based protocol. The user can issue voice commands to drill down deeper into the data, until the desired information is reached. The user thus doesn't need to hear all of the information in the formatted warehoused data, but instead can make inquiries to directly navigate to a particular item of interest.

Abstract: Methods for navigating a large amount of data are disclosed. In one embodiment, the present invention accesses a source of formatted warehoused data. The present invention then displays a grid on a display device. In one embodiment, the grid is an iconic representation of the formatted warehoused data. The grid is comprised of elements, each element corresponding to some portion of the formatted warehoused data. The present invention displays a portion of the formatted warehoused data on the display device in response to a selection of a corresponding element of the grid. In another embodiment, the formatted warehoused data is condensed so that it can be read in summary form to a user using a voice-based protocol. The user can issue voice commands to drill down deeper into the data, until the desired information is reached. The user thus doesn't need to hear all of the information in the formatted warehoused data, but instead can make inquiries to directly navigate to a particular item of interest.

Abstract: Methods for navigating a large amount of data are disclosed. In one embodiment, the present invention accesses a source of formatted warehoused data. The present invention then displays a grid on a display device. In one embodiment, the grid is an iconic representation of the formatted warehoused data. The grid is comprised of elements, each element corresponding to some portion of the formatted warehoused data. The present invention displays a portion of the formatted warehoused data on the display device in response to a selection of a corresponding element of the grid. In another embodiment, the formatted warehoused data is condensed so that it can be read in summary form to a user using a voice-based protocol. The user can issue voice commands to drill down deeper into the data, until the desired information is reached. The user thus doesn't need to hear all of the information in the formatted warehoused data, but instead can make inquiries to directly navigate to a particular item of interest.