A system includes a central analysis station and a display. The central analysis station may be configured to receive a unique identifier and performance data from each of a plurality of solar panels. The central analysis station may detect a problem in at least one of the plurality of solar panels based on the performance data. A display may be configured to display a status of the at least one of the plurality of solar panels based on the detected problem.

An electric energy supply management method includes having a certifier system define a reference electric power profile for an electric apparatus, and having the certifier system provide a device coupled to the electric apparats and to a socket that delivers electric energy provided by an electric energy supplier. The device is associated only to the electric apparatus through the reference electric power profile. The method also includes having a user of the electric apparatus couple the electric apparatus to the socket through the device, and having the device check that the electric apparatus is coupled to the socket by comparing a measured electric power profile of the electric apparatus to the reference electric power profile. If the check has a positive outcome, the method has the device collect measurements about the electric power used by the electric apparatus and certify them as energy consumptions of the electric apparatus.

A system includes a central analysis station and a display. The central analysis station may be configured to receive a unique identifier and performance data from each of a plurality of solar panels. The central analysis station may detect a problem in at least one of the plurality of solar panels based on the performance data. A display may be configured to display a status of the at least one of the plurality of solar panels based on the detected problem.

A client device manages consumption of power supplied by an electric utility to power consuming devices. Power flow to the power consuming devices is selectively enabled and disabled by one or more controllable devices controlled by the client device. The client device receives a power control message from a load management server. The power control message indicates at least one of an amount of electric power to be reduced and an identification of at least one controllable device to be instructed to disable a flow of electric power to one or more associated power consuming devices. Responsive to the power control message, the client device issues a power management command to one or more controllable devices under the client device's control. The power management command causes the one or more controllable devices to disable a flow of electric power to the one or more associated power consuming device.

Methods and systems for providing fluid resources are disclosed. A system or method may comprise developing an accurate fluid resource need that allows for expedited true up of fluid resource deliver from resource suppliers to a utility provider. The system and methods for delivering a fluid resource may include calculating a regression line based on fluid resource usage, and an associated temperature during the usage period, and a forecasted temperature for a future time period when the fluid resource will needed. The regression line may be used to obtain the amount fluid resource needed from resource suppliers for deliver by a utility provider to customers.

There is provided an information processing apparatus including a control section which performs control of presenting, in association with each other, actual energy consumption representing an amount of energy consumed by a device in a case where a user performs any one of user actions, the user actions each being capable of being carried out by the user, and estimated energy consumption representing an amount of energy consumed by the device in a case where the user does not perform the user action.

An apparatus and method for smart portfolio optimization modeling for optimum demand response resource configuration in order to solve problems that it is difficult to collect customer objects corresponding to demand response resources and to obtain power reduction reliability and power reduction quantity of customer objects and real-time metering information about loads whose power can be reduced since conventional customer objects have a low demand response resource recognition rate and problems that power is supplied to only customer objects collected in a power exchange in power feeding according to power supply and demand situations since an apparatus for optimization modeling for a portfolio composed of optimized demand response resources is not present and thus many customer objects on which a power feed instruction is not executed are generated, decreasing a power reduction implementation rate. The apparatus includes a smart meter 100, a demand response resource network generator 200 and a smart portfolio optimization modeling control module 300 to measure metering data with respect to hourly electricity prices and hourly electricity consumption loads in real time by installing a smart meter in a customer object, to improve a customer object collection rate by as much as about 70% compared to conventional cases through supply of the smart meter free of charge and public relations and advertisement about payment of adjusted amount corresponding to saved power quantity, to generate a demand response resource network for reducing power of loads on the basis of IDs of smart meters installed in collected customer objects, thereby performing remote power monitoring and remote power control and to achieve optimization modeling for a portfolio composed of optimized demand response resources by combining customer objects, power consumption of which is to be reduced, so as to maximize power reduction on the basis of RIM net benefit maximization and energy savings maximization, thereby enhancing a power reduction implementation rate according to power supply and demand state as much as about 80% and revitalizing the negawatt market.

A mobile environmental sensor system includes a first mobile environmental sensor, a controller, and a network transmitter disposed on a transport unit. The controller is in electronic communication with the first mobile environmental sensor and the network transmitter. The controller includes a processor and a memory. The processor is configured to trigger a measurement from the first mobile environmental sensor. A sensed value is received from the first mobile environmental sensor. The processor compares the sensed value as received from the first mobile environmental sensor to a reference sensed value received by the controller via the network transmitter. The processor calibrates the first mobile environmental sensor based on the comparison of the sensed value as received and the reference sensed value as received. The calibration includes a normalization between the sensed value as received and the reference sensed value as received. The normalization includes a time dependent component.

Identification and tracking of major electric appliances by using aggregate power data obtained at the main breaker level of a residence or commercial establishment. Step power changes and power surges characterize appliances. These features are identified and the time of use and duration statistics are considered to match an observed sequence of power changes with the appliances being turned on and off. The time-dependent usage of appliances and their power consumption are then reconstructed.

A method and apparatus for analysing utility consumption at a utility supply location is described. The method comprises the steps of: receiving utility consumption data corresponding to utility consumption at the utility supply location over a time period to be analysed; generating a recurring consumption model indicative of repeating consumption patterns in the utility consumption data; identifying divergences between the utility consumption data and the recurring consumption model; computing a diagnostic measure indicative of irregular consumption based on the identified divergences; and outputting the diagnostic measure. The diagnostic measure may be used to identify flexibility or irregularities in consumption and/or to control supply of the utility. The utility may be e.g. electricity, gas or water.