A power consumption pattern extraction apparatus according to one embodiment includes a processor and a memory storing program instructions that cause the processor to receive, as an input, a total power consumption for every predetermined time interval over a predetermined time period by a consumer group which consumes power, create a total power consumption matrix that has the total power consumption, received as an input, as elements and has rows and columns corresponding to preset units, perform non-negative matrix factorization on the created total power consumption matrix to create a first factor matrix including basis vectors and a second factor matrix including coefficients for the basis vectors, and extract power consumption patterns and proportions of consumers that consume power in the power consumption patterns from the created first and second factor matrices.

A method for detecting non-technical losses in an electrical power system includes measuring an area under a squared RMS current curve for a power cable in the electrical power system over at least one time interval, measuring an active and a reactive energy for the power cable over the at least one time interval, and characterizing a cable reactance and a cable resistance using the active energy, the reactive energy, and the area under the squared RMS current curve. The method further includes determining an active energy loss and a reactive energy loss over the at least one time interval using the area under the squared RMS current curve and the reactance and the resistance of the cable, and detecting a non-technical loss in the electrical power system based on the active energy loss and the reactive energy loss over the at least one time interval.

A method of sensing electrical power being provided to a structure using a sensing device, a calibration device, and one or more processing modules. The sensing device can include one or more magnetic field sensors. The sensing device can be attached to a panel of a circuit breaker box. The panel of the circuit breaker box can overlie at least a part of one or more main electrical power supply lines for an electrical power infrastructure of a structure. The calibration device can include a load unit. The calibration device can be electrically coupled to the electrical power infrastructure of the structure. The method can include automatically calibrating the sensing device by determining a first transfer function in a piecewise manner based on a plurality of ordinary power consumption changes in the structure. The method also can include determining a power consumption measurement using the one or more processing modules based on one or more output signals of the sensing device and the first transfer function. Other embodiments are provided.

A method of sensing electrical power being provided to a structure using a sensing device, a calibration device, and one or more processing modules. The sensing device can include one or more magnetic field sensors. The sensing device can be attached to a panel of a circuit breaker box. The panel of the circuit breaker box can overlie at least a part of one or more main electrical power supply lines for an electrical power infrastructure of a structure. The calibration device can include a load unit. The calibration device can be electrically coupled to the electrical power infrastructure of the structure. The method can include automatically calibrating the sensing device by determining a first transfer function in a piecewise manner based on a plurality of ordinary power consumption changes in the structure. The method also can include determining a power consumption measurement using the one or more processing modules based on one or more output signals of the sensing device and the first transfer function. Other embodiments are provided.

A device is used to sever an electrical power cable for the transmission of high voltage. The cable has an insulation sheath, a screening layer and a conductive layer. The device includes a first frame having a first cutting blade mounted thereon, a second frame, and a measuring device mounted on the second frame. The first cutting blade is movable relative to the measuring device. The measuring device is capable of measuring an electrical load on the electrical power cable and capable of terminating the severing of the electrical power cable. A method of using the device is also provided.

The present disclosure relates to a device of monitoring a reactive power compensation system to compensate reactive power, the device including a measurement unit configured to acquire voltage data, current data, and a phase angle from each constituent device, a power performance index calculation unit configured to calculate power performance index data including at least one of power factor data, flicker data, and harmonics data based on the acquired voltage data, current data, and phase angle, and a controller configured to analyze and evaluate the calculated power performance index data based on a preset situation.

A broadband access system, comprising a broadband access hub device (hub device) and broadband access premise devices (premise devices) wirelessly coupled the hub device to provide broadband services to multiple user equipment (UEs), is described. The hub device may access broadband services on a fiber optic broadband network and wirelessly provide access to the broadband services to the premise devices. The premise device may wirelessly communicate with the hub device and communicate with user equipment (UEs) for providing access to the broadband services through the hub device. The premise device may be attached to an electric utility meter, and a power interface module of the premise device may supply electrical power to the premise device from the electric utility meter.

A remote control device is provided that is configured for use in a load control system that includes one or more electrical loads. The remote control device includes a mounting structure and a control unit, and the control unit is configured to be attached to the mounting structure in a plurality of different orientations. The control unit includes a user interface, an orientation sensing circuit, and a communication circuit. The control unit is configured to determine an orientation of the control unit via the orientation sensing circuit. The control unit is also configured to translate a user input from the user interface into control data to control an electrical load of the load control system based on the orientation of the control unit and/or provide a visual indication of an amount of power delivered to the electrical load based on the orientation of the control unit.

A remote control device is provided that is configured for use in a load control system that includes one or more electrical loads. The remote control device includes a mounting structure and a control unit, and the control unit is configured to be attached to the mounting structure in a plurality of different orientations. The control unit includes a user interface, an orientation sensing circuit, and a communication circuit. The control unit is configured to determine an orientation of the control unit via the orientation sensing circuit. The control unit is also configured to translate a user input from the user interface into control data to control an electrical load of the load control system based on the orientation of the control unit and/or provide a visual indication of an amount of power delivered to the electrical load based on the orientation of the control unit.

Systems and methods for characterization of retrofit opportunities are described. Some embodiments are directed to methods for determining the air leakage rate of a building, and accordingly, for determining suitability of sealing of air leaks to improve the energy efficiency of a building. The methods may comprise computing, using at least one computing device disposed remote from a building and based at least in part on heating, ventilation and air conditioning (HVAC) runtime data associated with the building, one or more thermal characteristics of the building. The HVAC runtime data may be computed based on data received from a thermostat or a meter, such as an electric or a gas meter. To isolate the impact of air leakage, subsets of the HVAC runtime data at time intervals selected to have substantially the same conditions, but different wind speeds, may be computed.