Abstract: Described is a method for determining when to transition devices between different states based on determined potential activity in an area near the devices. When the potential for activity near an input device is below a threshold, the device is maintained in an inactive state. When the potential for activity near the device exceeds the threshold, the device is transitioned to an active state before the potential activity can occur near the device. Likewise, when the device is in an active state, the implementations described herein provide the ability to determine when to begin and end transmission of data from the device to a remote computing resource for processing. For example, obtained video may be processed locally to determine if an activity is occurring. If an activity is occurring, relevant data is sent to a remote computing resource to determine if an action has been performed during the activity.

Abstract: Systems, methods, and computer systems for intelligent power supply are provided herein. The system enables a private utility at a building. The system includes a plurality of power sources. Each of the power sources is configured to provide power to the building when enabled. The system also includes at least one external data source, at least one onsite data source, and a computer system. The computer system is communicatively connected to the power sources, the external data source, and the onsite data source. The computer system receives external data from the external data source and building data from the onsite data source. The computer system determines a preferred power source based on the external data and the building data.

Abstract: Methods and systems for ascertaining factors contributing to the temperature of a device. A method includes monitoring a plurality of parameters that are contributing to a temperature of the device. The method also includes estimating a degree of contribution of internal factors to the temperature of the device based on the monitored plurality of parameters and a battery temperature of a battery of the device. The method further includes estimating a degree of contribution of external factors to the temperature of the device, based on the monitored plurality of parameters and a battery temperature of a battery of the device. A neural network can be used for estimating the temperature of the ambience of the device and the impacts of internal and external factors on temperature of the device.

Abstract: The disclosure provides a method for monitoring a short-term voltage stability of a power system. The method includes: obtaining a topology and time series of a current power system; inputting the topology and the time series of the current power system into a trained spatial-temporal graph network model, the trained spatial-temporal graph network model being obtained by classification learning on a spatial-temporal graph network model based on a simulation sample dataset; outputting a status of the short-term voltage stability of the power system; and sending an alarm signal in response to outputting an unstable status of the short-term voltage stability of the power system.

Abstract: A method for controlling an inverter-based resource having a power converter connected to an electrical grid includes receiving, via a regulator of a controller of the inverter-based resource, a plurality of power signals. The method also includes determining, via the regulator, a power error signal as a function of the plurality of power signals. Further, the method includes receiving, via the regulator, a dynamic multiplier factor from a supervisory controller. Moreover, the method includes applying, via the regulator, the dynamic multiplier factor to one or more gains of the regulator to determine one or more modified gains. In addition, the method includes applying the one or more modified gains to the power error signal to obtain an intermediate power signal. Thus, the method includes generating, via the regulator, one or more control commands for the power converter as a function of the intermediate power signal.

Abstract: A method and apparatus for geotagging components of an energy production and consumption system. A user device captures an identifier of at least one component of an energy production and consumption system, determines location data related to the identifier, where the identifier and location data form geotagging data, and transmits the geotagging data to a network. Upon receiving the geotagging data from the network, a server processes the identifier to determine component information and generates a map comprising an icon for each component positioned within the map at a location derived from the geotagging data.

Abstract: The present invention are a system and a method for controlling solar photovoltaic power generation on the basis of machine learning, the system comprising: solar photovoltaic modules; node control units for switching off a connected solar photovoltaic module when measured current, voltage and power data do not satisfy control data; a gateway unit for storing measured data; a real-time control module for classifying, comparing and analyzing data and storing same, and transmitting a control command to the gateway unit; and machine learning for monitoring a device and data, learning on the basis of machine learning, and extracting functional data required for controlling solar photovoltaic power generation so as to provide control service data according to the result of performed modeling.

Abstract: A system may determine configuration information associated with a power system for a work site that includes one or more power sources. The system may determine respective operation parameters of the one or more power sources and one or more performance criteria associated with the power system. The system may determine a baseline operation plan for the power system. The system may identify an optimization analysis technique and may process, using the optimization analysis technique, the configuration information associated with the power system, the respective operation parameters of the one or more power sources, and the one or more performance criteria associated with the power system to generate the optimized operation plan for the power system. The system may cause, based on the baseline operation plan for the power system and the optimized operation plan for the power system, one or more actions to be performed.

Abstract: A fan controller for a ceiling fan is provided. The fan controller includes one or more switching devices configured to selectively couple the ceiling fan to a power source. The fan controller includes a first capacitor having a first capacitance and a second capacitor having a second capacitance that is larger than the first capacitance. The fan controller includes a power meter circuit and one or more control devices. The one or more control devices are configured to obtain, via the power meter circuit, data indicative of electrical power a fan motor of the ceiling fan draws from the power source. The one or more control devices are configured determine a size of the fan motor based on the data. The one or more control devices are configured to select the first capacitor or the second capacitor as a selected capacitor based on the determined size of the fan motor.

Abstract: Disclosed is a signal measurement method for an energy storage and frequency modulation system. An energy management system consisting of a microgrid controller, an energy management server, a workstation, and a network device is provided. The beneficial effects of the present invention are: a high-voltage auxiliary transformer based on an energy storage system connected to a power plant is used as the auxiliary output device of a generator set to satisfy the requirements of auxiliary frequency regulation, improve the response index Kp value of a power plant set to a dispatch AGC instruction, implement the sending and receiving of a signal after the energy storage system is connected, and achieves the goal of frequency modulation operation of an auxiliary energy storage set without greatly transforming an RTU.

Abstract: The disclosure provides a fan control method, applied to an electronic device. The electronic device includes a fan and a setting unit, the setting unit having a plurality of setting values, and each setting value being corresponding to a sampling number. The fan control method includes: continuously detecting a temperature of a heat source to obtain a plurality of temperature values; selecting one of the plurality of setting values based on variations of the temperature values; acquiring a value set from the temperature values based on the sampling number corresponding to the selected setting value, and generating an updated temperature value based on the value set; and controlling rotation of the fan based on the updated temperature value.

Abstract: Embodiments generate machine learning predictions to discover target device energy usage. One or more trained machine learning models configured to discover target device energy usage from source location energy usage can be stored. Multiple instances of source location energy usage over a period of time can be received for a given source location. Using the trained machine learning model, multiple discovery predictions for the received instances of source location energy usage can be generated, the discovery predictions comprising a prediction about a presence of target device energy usage within the instances of source location energy usage. And based on the multiple discovery predictions, an overall prediction about a presence of target device energy usage within the given source location's energy usage over the period of time can be generated.

Abstract: A smart-home device may include a main power rail that provides power to components of the smart-home device; an integrator coupled to the main power rail that stores energy on an energy-storage device, where the energy stored on the energy-storage device is representative of an amount an amount of power provided to the smart-home device through the main power rail during an integration cycle of the integrator; and a counter that stores a number of integration cycles performed by the integrator during a time interval, where a total amount of power provided to the smart-home device through the main power rail during the time interval is represented by: (1) the number of integration cycles performed by the integrator during the time interval; and (2) the energy stored on the energy-storage device.

Abstract: A ceiling fan according to an embodiment of the present disclosure comprises: a shaft coupled onto a ceiling or a wall surface of an indoor space; a motor assembly connected to the shaft to provide rotational power; a plurality of blades coupled to the motor assembly to be rotated; and an electronic component unit coupled to the shaft and positioned in an inner space of the motor assembly, wherein the electronic component unit includes a communication module for interworking with an air conditioning product installed in the indoor space, and a control unit for controlling the air conditioning product and the for assembly.

Abstract: The disclosure describes techniques for providing meter-to-transformer connectivity information and/or correction, using voltage-correlation, distance, and/or address data. In an example, a meter generates a time-series of voltage-changes. Transformers geographically close enough to the meter are assigned a time-series of voltage-changes. Pearson's Correlation Coefficient (PCC) values of the meter with respect to individual transformers are determined. A reference PCC value of the meter is set to be an average of a largest and a second largest PCC value from among the PCC values of the meter. Voltage-correlation confidence rating (VCCR) values for the meter with respect to each transformer that is within the threshold distance from the meter are calculated using the PCC. Based at least in part on the VCCR values for the meter with respect to each transformer that is within the threshold distance from that meter, a probability of the meter being connected to each transformer is determined.

Abstract: An industrial automation component may receive design information associated with an arrangement of one or more industrial automation components in an industrial automation system and identify a first portion of the industrial automation components in the industrial automation system that is unable to interface with a second portion of industrial automation components based on the design information. The industrial automation component may then generate a list of industrial automation components based on the first portion of the industrial automation components and the second portion of industrial automation components, wherein each of the list of industrial automation components is configured to translate a first set of data associated with the first portion of the industrial automation components to a second set of data configured to be at least partly interpretable by the second portion of industrial automation components.

Abstract: A power control system, which enables more effective utilization of electrical power generated by using renewable energy, includes a monitoring unit, an output control unit, and a power storage control unit. The monitoring unit monitors the amount of electrical power generated by a power generation device using renewable energy and the amount of electrical power purchased by a consumer through utility grid. When the amount of purchased electrical power is less than a first threshold on the basis of a monitoring result of the monitoring unit, the output control unit suppresses output of electrical power generated by the power generation device. When the amount of the purchased electrical power is less than a second threshold which is greater than the first threshold on the basis of the monitoring result, the power storage control unit charges a storage battery with the generated electrical power outputted by the power generation device.

Abstract: A building comprises a network of energy storage and energy consuming assets, which is connected to an alternating current electric supply grid having a normal frequency through an energy management system linked to a server. The energy management system measures over a period of time the energy consumption against time of the energy consuming assets and stores the measurements taken and measures over a period of time the energy stored against time in the energy storing assets and stores the measurements taken. The measurements of energy consumption and energy stored are used to derive the base net energy need in particular time periods. The net energy need in individual time periods is exported to one or more third parties.

Abstract: A method includes generating a utility portal interface in response to a request from a utility computer system that receives parameters that specify a demand response event; providing a display of groups of energy-consuming locations that are available to be selected to participate in the demand response event; providing a display of an energy demand profile for the utility during the demand response event; receiving a selection of a subset of the groups of energy-consuming locations to participate in the demand response event; causing the display of the energy demand profile for the utility during the demand response event to be dynamically updated as the subset of the groups of energy-consuming locations are selected or deselected by the utility computer system to participate; and sending transmissions to thermostats associated with the subset of the groups of energy-consuming locations to execute the demand response event.

Abstract: A monitoring and controlling method for a supporting pose of a hydraulic support includes reading length parameters of props; establishing a pose monitoring mathematic model; based on an interpolation algorithm, obtaining pose parameters including associated pose parameters of an angle of height, an angle of roof attachment, and angles of inclination of the props. The method further includes based on the support pose monitoring process, determining a current supporting pose; obtaining a contour line of a roof above the support, and determining a bulging edge of the roof; obtaining a height difference of a support canopy and the roof; calculating a target height and a target angle of roof attachment of the hydraulic support; based on a pose control mathematic model, calculating a target angle of height of the support; and substituting the target parameters into the pose monitoring mathematic model to solve target lengths of the props.