Certain examples described herein provide a system and a method for disaggregating energy load data for a building. The system (410) may have an energy load data interface (420) to receive energy load data (422) originating from energy use sensors for the building; a weather data interface (430) to receive weather data (432) for a location that includes the building; a weather adjustment pre-processor (440) to process the energy load data and the weather data and to determine a weather-dependent energy use component (442) of the energy load data and a weather-independent energy use component (444) of the energy load data; a baseline adjustment pre-processor (450) to process the weather-independent energy use component of the energy load data and determine a baseline energy use component (456) of the energy load data, wherein the baseline adjustment pre-processor is configured to remove the baseline energy use component from the weather-independent energy use component to determine a variable energy use component (458) of the energy load data; and an energy use disaggregator (460) to process the variable energy use component of the energy load data and determine a plurality of time-varying load components (462) of the energy load data.

An electrical power distribution system has a converter module having a converter to convert AC voltage from AC voltage sources to DC voltage and provide DC voltage power with adjustable maximum power values at electrical output interfaces of the converter module to a maximum module power value. It includes a power profile management device to negotiate individual power profiles with electrical consumers connectable to the electrical output interfaces, according to which individual power profiles electrical power up to a negotiated maximum power value is provided by the converter via the electrical output interface. The device detects instantaneous actual power consumption with which an individually negotiated power profile and calculates a power reserve value of the converter as the difference between negotiated maximum power value and instantaneous actual power consumption and negotiate with consumers whose power reserve value is higher than an adjustable reserve threshold value a new power profile.

In an example method, a power management system receives sensor data regarding an operation of a primary power source, a secondary power source, an environmental regulation system, and a plurality of electrically-powered sub-systems. Further, the system receives a plurality of parameter sets for the sub-systems, each including a first parameter indicting a priority of a respective sub-system relative to the other sub-systems, a second parameter indicating an amount of heat dissipated by the respective sub-system during operation, and a third parameter indicating a temperature requirement associated with the respective sub-system. The system controls, based on the sensor data and the parameter sets, a delivery of electrical power from the primary and secondary power sources to the environmental regulation system and the sub-systems. Further, the system controls, based on the sensor data and the parameter sets, a consumption of electrical power by the environmental regulation system and the sub-systems.

A method and system for predicting regional short-term energy power by taking weather into consideration includes: obtaining meteorological data of all moments in a set time in the future through a network; extracting respectively, from a historical database according to the obtained meteorological data, historical weather station meteorological data, historical network API meteorological data, and historical measured power generation power data within a set time period that meet meteorological conditions corresponding to all the moments; obtaining historical total error data; obtaining real-time error meteorological data; obtaining total error meteorological data; combining the obtained meteorological data of all the moments in the set time in the future with total error meteorological data of all the moments to obtain predicted meteorological data; obtaining predicted power data according to the predicted meteorological data; and optimizing an energy generation plan of a system according to the obtained predicted power data.

The power control device performs power supply to each of a plurality of loads (231 to 234) by a time-proportional control, where a maximum load factor and a current value or a power value during on-control are made to correspond to each of the plurality of loads. The power control device 1 is characterized by being provided with an automatic power supply allocation unit 12 that performs: processing of calculating a combination of loads in which a total value of the current value or the power value during the on-control, which are made to correspond to the respective loads, does not exceed a limiter value that specifies an upper limit to the total of the current value or the power value output to the plurality of loads; processing of setting a period in which the respective loads in the combination are simultaneously on-controlled and subtracting the period from the maximum load factor of each of the loads in the combination; and automatic allocation processing of power supply to each load by repeating each of the above processing until all maximum load factors of the respective loads become zero.

The imaging device 102, to which an extension device 103 for accommodating an external battery 202 can be detachably attached, comprises a main body 102a for accommodating an internal battery 201, a charge IC 231, an operation unit 160, and a charge microcomputer 232. The charge IC 231 charges the internal battery 201 or the external battery 202 with power input from outside. The operation unit 160 receives an input for setting a use order of the internal battery 201 and the external battery 202. The charge microcomputer 232 controls the charge IC 231 so as to charge the internal battery 201 or the external battery 202 according to the priority order.

Electric vehicle charging management methods and systems are provided. First, a server receives a candidate charging request respectively from each of candidate charging stations or candidate mobile devices via a network. According to the candidate charging requests, at least one first charging station is selected from the candidate charging stations, and the first charging station is instructed to perform a first charging operation with an upper power limit value. The server sets the candidate charging requests of the candidate charging stations other than that of the first charging station to a pending state. When the first charging status information corresponding to the first charging operation meets an energy management condition, the server selects at least one second charging station from the candidate charging stations according to the candidate charging requests, and instructs the second charging station to perform a second charging operation with the upper power limit value.

A method and server for managing mobile rechargeable battery pools of multiple stations, comprising steps of: (a) in a response to a selection of a specific location, the management server displaying pieces of location information on the stations by referring to a current location of the specific user and the specific location; (b) in a response to a selection of a k-th station among the stations, the management server displaying (i) information on (k_1)-st mobile rechargeable batteries available at a current time and (ii) information on (k_2)-nd mobile rechargeable batteries available at an estimated arrival time; and (c) in a response to a selection of a specific k-th mobile rechargeable battery, by the user device for a future need, the management server sending information on the future need to an administrator device or a provider device.

The present system is for integrated management of associated gas and produced water at oil well extraction sites. The system includes a controller that makes gas allocation determination (e.g., directs conditioned gas to (i) gas flare, (ii) produced water reduction system, and/or (iii) generator) when a change in conditioned gas flow is detected based on first plurality of inputs. If the conditioned gas is directed to the generator, then the controller makes an electricity allocation determination (e.g., (i) increase a data processing operating rate on a data processing server, (ii) start up idle data processing equipment, (iii) direct generated electric current to a power grid, and/or (iv) charge a storage battery) based on second plurality of inputs. By operating the system of gas consumption and electricity production/consumption in an integrated fashion, benefits of flaring prevention, resource conversation, and more efficient economic operations are optimized to a degree not previously attainable.

In an example method, a power management system receives sensor data regarding an operation of a primary power source, a secondary power source, an environmental regulation system, and a plurality of electrically-powered sub-systems. Further, the system receives a plurality of parameter sets for the sub-systems, each including a first parameter indicting a priority of a respective sub-system relative to the other sub-systems, a second parameter indicating an amount of heat dissipated by the respective sub-system during operation, and a third parameter indicating a temperature requirement associated with the respective sub-system. The system controls, based on the sensor data and the parameter sets, a delivery of electrical power from the primary and secondary power sources to the environmental regulation system and the sub-systems. Further, the system controls, based on the sensor data and the parameter sets, a consumption of electrical power by the environmental regulation system and the sub-systems.