Abstract: Methods and systems are presented for allocating CPU cycles among processes in a storage system. One method includes operations for maintaining segments in a first memory, each segment including blocks, and for maintaining a block temperature for each block in a second memory. The first memory is a read-cache where one segment is written at a time, and each block is readable from the first memory without reading the corresponding complete segment. The block temperature is based on the frequency of access to the respective block, and a segment temperature is based on the block temperature of its blocks. Additionally, the segment with the lowest segment temperature is selected for eviction from the second memory, and blocks in the selected segment with a block temperature greater than a threshold temperature are identified. The selected segment is evicted, and a segment with the identified blocks is written to the first memory.

Abstract: Devices, methods, and systems for occupancy detection are described herein. One device embodiment includes a memory and a processor coupled to the memory. The processor is configured to execute executable instructions stored in the memory to determine energy consumption data associated with a structure at a point in time, and determine whether the structure is occupied at the point in time based, at least in part, on the determined energy consumption data.

Abstract: Systems and methods for managing a programmable thermostat are described herein. One or more system embodiments include a programmable thermostat having a first management profile; a data acquisition subsystem; and a data analysis subsystem. The data acquisition subsystem is configured to receive thermostat data from the programmable thermostat, and the data analysis subsystem is configured to receive the thermostat data from the data acquisition subsystem, and determine a second management profile for the programmable thermostat based, at least in part, on the thermostat data.

Abstract: Devices, methods, and systems for occupancy detection are described herein. One device embodiment includes a memory and a processor coupled to the memory. The processor is configured to execute executable instructions stored in the memory to determine energy consumption data associated with a structure at a point in time, and determine whether the structure is occupied at the point in time based, at least in part, on the determined energy consumption data.

Abstract: Systems and methods for managing a programmable thermostat are described herein. One or more system embodiments include a programmable thermostat having a first management profile; a data acquisition subsystem; and a data analysis subsystem. The data acquisition subsystem is configured to receive thermostat data from the programmable thermostat, and the data analysis subsystem is configured to receive the thermostat data from the data acquisition subsystem, and determine a second management profile for the programmable thermostat based, at least in part, on the thermostat data.

Abstract: A system for disaggregating a gross energy measurement into individual component energy consumption. A collection of components may be situated in a facility. A sensor may obtain electrical signals from one or more power input lines which convey power to the facility for the components. The signals may indicate the total energy consumption by the collection of components. Approaches and/or mechanisms may be used to disaggregate the indication of total energy consumption into indications of individual energy consumption by the components without the need for separately determining the individual energy consumption with additional measurements or instrumentation. Also, approaches and/or mechanisms may be used for integrating a known load activity with whole facility energy consumption for enhancing the component disaggregation. Indications of individual energy consumption permit a reasonable evaluation of components from efficiency, conservation and/or other perspectives.

Abstract: The present inventors devised, among other things, systems and methods for estimating the energy usage of individual appliances based on cumulative household energy usage data and energy consumption profiles of the appliances. One exemplary system receives cumulative or aggregate energy usage for a building or other structure including a set of two or more appliances having different load ratings. Based on the aggregate energy usage and predefined usage profiles for the appliances, the exemplary system estimates individual energy usage of the appliances. In one embodiment, the system estimates individual energy usage of the appliances using a Bayesian estimator and displays the usage estimates, referred to as virtual submeter readings, on a graphical user interface.

Abstract: 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.

Abstract: A system for disaggregating a gross energy measurement into individual component energy consumption. A collection of components may be situated in a facility. A sensor may obtain electrical signals from one or more power input lines which convey power to the facility for the components. The signals may indicate the total energy consumption by the collection of components. Approaches and/or mechanisms may be used to disaggregate the indication of total energy consumption into indications of individual energy consumption by the components without the need for separately determining the individual energy consumption with additional measurements or instrumentation. Also, approaches and/or mechanisms may be used for integrating a known load activity with whole facility energy consumption for enhancing the component disaggregation. Indications of individual energy consumption permit a reasonable evaluation of components from efficiency, conservation and/or other perspectives.

Abstract: Devices, methods, and systems for occupancy detection are described herein. One device embodiment includes a memory and a processor coupled to the memory. The processor is configured to execute executable instructions stored in the memory to determine energy consumption data associated with a structure at a point in time, and determine whether the structure is occupied at the point in time based, at least in part, on the determined energy consumption data.

Abstract: Systems and methods for managing a programmable thermostat are described herein. One or more system embodiments include a programmable thermostat having a first management profile; a data acquisition subsystem; and a data analysis subsystem. The data acquisition subsystem is configured to receive thermostat data from the programmable thermostat, and the data analysis subsystem is configured to receive the thermostat data from the data acquisition subsystem, and determine a second management profile for the programmable thermostat based, at least in part, on the thermostat data.

Abstract: The present inventors devised, among other things, systems and methods for estimating the energy usage of individual appliances based on cumulative household energy usage data and energy consumption profiles of the appliances. One exemplary system receives cumulative or aggregate energy usage for a building or other structure including a set of two or more appliances having different load ratings. Based on the aggregate energy usage and predefined usage profiles for the appliances, the exemplary system estimates individual energy usage of the appliances. In one embodiment, the system estimates individual energy usage of the appliances using a Bayesian estimator and displays the usage estimates, referred to as virtual submeter readings, on a graphical user interface.

Abstract: A context-aware smart home energy management (CASHEM) system and method is disclosed. CASHEM dynamically schedules household energy use to reduce energy consumption by identifying contextual information within said household, selecting a comfort of service preference, wherein said comfort of service preference is based on different said contextual information, and extracting an appliance use schedule for maximum energy savings based on said contextual information in light of said comfort of service preferences, by executing a program instruction in a data processing apparatus. CASHEM correlates said contextual information with energy consumption levels to dynamically schedule said appliance based on an energy-saving condition and a user's comfort. Comfort of service preferences are gathered by CASHEM by monitoring occupant activity levels and use of said appliance. CASHEM can also recommend potential energy savings for a user to modify comfort of service preferences.

Abstract: A method of predicting deterioration in a mechanical device includes the steps of providing a health model for the mechanical device, the health model including a plurality of health states for modeling the mechanical device, receiving device data for the mechanical device, estimating values for the plurality of health states, based on the device data, predicting one or more events based on the health model and the device data, each of the one or more events affecting one or more of the plurality of health states, and generating a prediction of deterioration in the mechanical device from the estimated values for the plurality of health states and the one or more predicted events.

Abstract: A method for performing diagnosis on an engine includes the steps of obtaining data for a plurality of variables pertaining to the engine, transforming the data with respect to each of the plurality of variables using a wavelet transformation, to thereby generate initial coefficients for each of the plurality of variables, and aggregating the initial coefficients for each of the plurality of variables, to thereby generate an aggregate set of coefficients for the plurality of variables.

Abstract: Energy usage of a plurality of appliances is measured using a single meter. A pattern of energy usage with respect to the plurality of appliances is determined dependent upon the measured energy usage, appliance details of the plurality of appliances, and usage hours of the plurality of appliances. The pattern is provided to a user of the appliances.

Abstract: A system and method is provided for predicting deterioration in a mechanical device. The deterioration prediction system and method includes a dynamic model of the mechanical device and a state estimator to predict deterioration in a mechanical device. The dynamic model includes a plurality of evolving health states that describe the performance of the mechanical device. The dynamic model can be implemented such that several distinct factors contribute the evolution of the health states. These factors can include damage accumulation, interaction between components in the device, deviation from design conditions, and the influence of discrete events. In one embodiment, the dynamic model uses a Poisson distribution to model the rate of damage accumulation in the mechanical device.