In the present invention, a power monitoring unit (330) estimates the integral power consumption on the basis of an obtained actual value or amount of change of power consumption. When the estimated value for the integral power consumption as estimated by the power monitoring unit (330) reaches a prescribed amount of power, a presentation unit (204) presents a warning, on the basis of the power values obtained by a load power meter (340), indicating a list of loads for which the power consumption should be controlled.

Methods, systems, and devices are described for calibrating a sensor of a distributed sensor system. More specifically, the described features generally relate to calibrating one sensor of such a system using information from one or more other sensors of the system. A calibration model may be determined based at least in part on a difference in geospatial location of the sensors. Further, in the case of one or both sensors being mobile, the difference in geospatial location of the sensors may vary over time such that different calibration models may apply to different portions of the sensed data. Also, the relative quality of the data sensed by the sensors may be taken into account for calibration (e.g., directionality of the calibration).

Disclosed embodiments relate to a power monitoring system. In some embodiments, the power monitoring system includes: a sampling device configured to measure patterns of how loads included in the power system consume energy; an electric meter configured to measure a first amount of energy supplied from a transmission system to the power system; a power supply configured to supply power stored therein or generate power to supply it to the power system, and measure a second amount of energy supplied to the power system; an external server configured to receive measurements of the patterns from the sampling device, and obtain a third amount of energy consumed by the loads based on the measurements; and a home server configured to receive the first amount of energy and/or second amount of energy and transmit/receive data to/from the external server.

Disclosed embodiments relate to a power monitoring system. In some embodiments, the power monitoring system includes: a sampling device configured to measure patterns of energy consumed by loads included in the power system; an electric meter configured to measure an amount of second energy supplied from a system to the power system; a power supply configured to supply power stored therein or generate power to supply the power system and measure an amount of third energy supplied; and an external server configured to receive at least one of the patterns, the amount of the second energy and the amount of the third energy and analyze the patterns to acquire an amount of first energy for each of the loads. In some embodiments, the external server calculates at least one of the amount of the first, second and third energy.

There is provided a distribution abnormality detecting device that detects a distribution abnormality of partitioned power with identification information, the distribution abnormality detecting device being configured to: determine that the distribution abnormality has occurred when an interval of the identification information detected during power distribution is different from an interval specified by the partitioned power.

Example embodiments relate to providing visual analytics of spatial time series data. In example embodiments, sensors may be located at regions within a building for collecting sensor data at regular time intervals. A sensor hierarchy can be generated including sensor nodes that are hierarchically arranged according to a physical infrastructure of the building, where each of the sensor nodes corresponds to a sensor. Sensor data can be obtained from the sensors, and a pixel calendar tree can be generated based on the sensor data and the sensor hierarchy, where the pixel calendar tree is recursively subdivided into tree portions according to a proportion of the sensor data attributable to each of the sensors. The pixel calendar tree can be displayed, where each of the tree portions includes time series sensor data of a corresponding region that is generated based on the sensor data.

A power load prediction method includes determining a relationship between power load and temperature during a selected time. A decomposition of the determined relationship is determined. The decomposition indicates a plurality of contributors to the determined power load. A predicted power load is estimated based on the plurality of contributors and a regression model.

Systems, methods and apparatus for power management in an electric power grid are disclosed. A power flow to a plurality of power consuming devices in the electric power grid is enabled and disabled by a plurality of controllable devices under the control of one or more client devices. An apparatus receives a power control command and select at least one client device to which to issue a power reduction message. The power reduction message comprises an amount of electric power to be reduced to at least one of the plurality of power consuming devices for a predetermined time. A database stores information relating to power consumed by the plurality of power consuming devices based on measurement and verification.