Disclosed in the present disclosure are an energy control system, method and device, and electronic equipment. The energy control system includes a controlled system, an energy control device and a weather server. The controlled system includes power generation equipment, energy storage equipment and air conditioning equipment. The power generation equipment, the energy storage equipment and the air conditioning equipment are connected in parallel by means of a direct-current bus. The air conditioning equipment is also connected to an alternating-current power grid; and the energy control device is in communication connection with the controlled system and the weather server respectively, and is used to acquire weather forecast information in a preset future time period from the weather server and send an optimal energy flow configuration in the preset future time period to the controlled system.

A load shed module configured to be connected in series between a power supply and a load is disclosed. A separate load shed module is connected in series between each load and the power supply. The load shed module determines the frequency of the voltage supplied from the power supply. Based on the frequency, the load shed module determines if utility power is connected or if a generator is connected. If the generator is connected and the frequency of the voltage goes outside of a desired operating range for a preset time, the load shed module disconnects the load from the power supply. Each load shed module includes a priority setting and reconnects its corresponding load after a predetermined time corresponding to the priority setting.

The present disclosure is directed to energy storage and supply management system. The system may include one or more of a control unit, which is in communication with the power grid, and an energy storage unit that stores power for use at a later time. The system may be used with traditional utility provided power as well as locally generated solar, wind, and any other types of power generation technology. In some embodiments, the energy storage unit and the control unit are housed in the same chassis. In other embodiments, the energy storage unit and the control unit are separate. In another embodiment, the energy storage unit is integrated into the chassis of an appliance itself.

In one aspect, there is provided a method comprising: receiving consumption data comprising readings from one or more utility meters associated with a property comprising one or more devices, the one or more devices comprising one or more devices of interest; determining, in the received consumption data, one or more positive consumption variations indicative of switching on of one or more of the devices and/or one or more negative consumption variations indicative of switching off of one or more of the devices; identifying one or more events associated with the one or more devices, based on the determined variations, by matching one or more positive variations with one or more negative variations; grouping the identified one or more events into one or more blocks, each block corresponding to an occurrence of usage of a device of the property; classifying the one or more blocks into one or more predetermined clusters, the one or more predetermined clusters comprising a respective predetermined cluster associated with each device of interest of the property; and determining an occurrence and/or an absence of usage of the one or more devices of interest of the property, based on the classification into the one or more predetermined clusters.

This disclosure relates generally to methods and systems for determining the power load disaggregation profile of a building. Most of the conventional techniques are algorithmic centric, specific to certain scenarios and does not employ the low-sampling rate data due to the complexity involved. Present disclosure determines the power load disaggregation profile of the building using the low-sampling rate power consumption data accurately. According to the present disclosure, firstly, the background power loads are detected and removed from the low-sampled data samples. Next, a robust event detection mechanism is employed to detect the events when the change in the power consumption occurred, and such events are paired using the iterative pairing technique. Further, a set of event clusters are formed using the density-based clustering technique and lastly, each of the set of event clusters are classified with each appliance type using a rule-based classification technique.

Methods and systems for identifying and correcting abnormal electrical activity about a structure are provided. An electricity monitoring device may monitor electrical activity including transmission of electricity via an electrical distribution board to devices about the structure. Electrical activity may be correlated with respective electrical devices to build an electrical profile indicative of the structure's electricity usage. Based on the electrical profile, abnormal electrical activity may be identified and corrective actions may be taken to mitigate or prevent structural damage.

A method and apparatus for managing an AC backup power source utilizing energy stored in an electric or hybrid vehicle and one or more AC loads powered thereby. The method and apparatus is preferred to be used as a home backup power system comprising a battery contained within an electric or hybrid vehicle providing DC power which is converted to AC backup power, charging the battery, monitoring the amount of power supplied to one or more loads and controlling AC power provided thereto.

An apparatus for controlling one or more switched high power loads (or heating elements). The apparatus including: one or more switched high power loads (or heating elements), each high power load being powered from a common alternating current power source, and wherein each load is independently switched using a switching signal for zero crossing switching to achieve a desired average power output; the switching signal is generated that comprises a repeated switching sequence; the switching sequence indicates a respective selecting activation for each of the switched high power load over a sequence of half or full cycles.

A robot cleaner and a charging device capable of determining whether contact is made between charging terminals of the charging device and the robot cleaner are provided. The charging device may include a charging circuit including at least one terminal having at least a portion exposed to the outside, at least one object sensor to detect at least one identification object arranged in a robot cleaner, the at least one object sensor being arranged separately from the at least one terminal configured, and at least one processor configured to control the charging circuit to apply a voltage to the at least one terminal in response to the at least one object sensor detecting the at least one identification object.

Methods and systems are provided for managing environmental conditions and energy usage associated with a site. One exemplary method of regulating an environment condition at a site involves a server receiving environmental measurement data from a monitoring system at the site via a network, determining an action for an electrical appliance at the site based at least in part on the environmental measurement data and one or more monitoring rules associated with the site, and providing an indication of the action to an actuator for the electrical appliance.