8363 results about "Power usage" patented technology

The invention generally concerns systems and methods for monitoring and controlling the power consumption of a power-consuming device. The system and method may connect to a power source and a power-consuming device, connecting the power-consuming device to the power source. The power usage of the power-consuming device may then be measured and monitored. This monitoring data may then be stored and optionally sent to a controlling device on a data network. The location of the power-consuming device may also be determined, recorded, and sent to a controlling device. The system may also control the power usage of the power-consuming device. In some cases, a remote server may connect multiple energy monitoring systems in order to gain additional efficiencies and foster a community-based social network.

A load management system controller employs a method for determining carbon credits earned as a result of a control event in which power is reduced to at least one service point serviced by a utility. The controller is located remotely from the service point(s) and determines power consumed over time by at least one device located at the service point(s) to produce power consumption data. The controller stores the power consumption data. At some later point in time, the controller initiates a control event and determines an amount of power reduced during the control event based on the stored power consumption data. The controller also determines a generation mix for power that would have been supplied to the service point(s) if the control event had not occurred. The controller then determines a quantity of carbon credits earned based at least on the amount of power reduced and the generation mix.

A system, method and computer program product for processing utility data of a power grid is provided. In one embodiment, the system includes a datamart comprised of a plurality of physical databases storing utility data, a plurality of applications comprising an automated meter application configured to process power usage data from a plurality of automated meters, a power outage application configured to identify a location of a power outage, and a power restoration application configured to identify a location of a power restoration. The system may include an analysis engine comprising a plurality of analysis objects with each analysis object configured to process data to provide a specific analysis, wherein said analysis engine is accessible via one or more of the plurality of applications, and the system may include a report module configured to receive an output from the analysis engine and to output a report. The plurality of applications may also include a fault analysis application, a transformer analysis application, a theft detection application, a power flow application, a substation automation application, a load shed application and others.

The invention may be embodied in a method for operating a disk drive in a mobile device to optimize power usage. The mobile device may be a hand held computing device such as a personal digital assistant (PDA) or a mobile terminal such as a cellular telephone. Immediately after responding to a disk access command, the disk drive is in first operating mode that consumes a relatively high level of power and may transition to a second operating mode that consumes a relatively low level of power. A transition from the second operating mode to the first operating mode consumes a transition quantity of power. A predictive technique tracks a user's usage pattern and adapts an operating mode transition time based on the usage pattern.

A method and apparatus are disclosed for performing adaptive run-time power management in a system employing a CPU and an operating system. A CPU cycle tracker (CCT) module monitors critical CPU signals and generates CPU performance data based on the critical CPU signals. An adaptive CPU throttler (THR) module uses the CPU performance data, along with a CPU percent idle value fed back from the operating system, to generate a CPU throttle control signal during predefined run-time segments of the CPU run time. The CPU throttle control signal links back to the CPU and adaptively adjusts CPU throttling and, therefore, power usage of the CPU during each of the run-time segments.

A mobile device may include a geopositioning receiver and an accelerometer, which may be engaged in an alternating manner depending on whether the mobile device is at rest or in motion. If the mobile device is in motion, the geopositioning receiver may remain engaged to provide a real-time location of the mobile device, which may be used to generate various location-triggered notifications and to control location-triggered applications. If the mobile device is at rest, the geopositioning receiver may be disengaged to reduce power usage and instead the accelerometer may be engaged to monitor whether the mobile device is put back in motion. If so, the geopositioning receiver may be reengaged. A sequence of locations where the mobile device came to rest may be stored to construct a location profile, which may allow closely targeted offers and advertisements to be generated based on the daily activity patterns of users.

An apparatus comprising a power source, one or more sensors, a transceiver, and a memory. The power source may be configured to store energy to power the apparatus. The one or more sensors may be configured to receive captured data from one of a plurality of sources. The transceiver may be configured to send and receive data to and from a wireless network. The processor may be configured to execute computer readable instructions. The memory may be configured to store a set of instructions executable by the processor. The instructions may be configured to (A) evaluate an expected power usage budget calculated using a predictive model of future energy consumption and (B) (i) store the captured data in the memory in a first mode and (ii) transmit the captured data to a remote storage device in a second mode. The first mode or the second mode is selected based on characteristics of the captured data received from the sensors.