Abstract: Provided is a source-load cooperation access method for a power distribution region. The method includes: establishing a timing feature model of a distributed generator and a timing feature model of a load respectively, acquiring a timing feature of the distributed generator in an access power distribution region by using maximum likelihood estimation and acquiring a timing feature of a user which accesses the power distribution region by using classification and regression trees; and inputting the timing feature of the distributed generator and the timing feature of the user which access the power distribution region into a combination optimization model, and determining a source-load access feeder through optimization.

Abstract: Systems and methods for device functionality control utilizing activity prediction are disclosed. For example, an activity model is utilized to identify activities associated with sensor data collected from connected devices within an environment. Target device usage data is then associated with the activities to determine probability values that the target device will be operated when the identified activities are detected. Commands may be generated and sent to the target device to perform a function when the identified activities are detected.

Abstract: The invention relates to the adaptation of the functionalities of a remote control in a local area network. More specifically, it relates to the definition of commands to be sent upon an input of a user, depending either of the commands that can be sent in a RF network joined by the remote control, or of the commands that can be received by a device that the remote control is bound to in a RF network.

Abstract: A power unit including multiple generators supplies power to a load or loads that may be variable. The generators can differ, e.g., in generating capacities, rates at which their outputs can be changed, maintenance requirements, and/or different energy-conversion efficiencies. A control unit throttles the generators independently according to a digitally implemented algorithm that may, but need not, use the difference(s) in supplying power to the load. In some cases, the controller regulates monitored power delivered to the load or loads. A power combiner is connected to the outputs of the generators. If desired, a buffer can be used between the generators and the load or loads to provide energy storage that can allow for the load or loads to change at a faster rate than the generators are throttled and for peak loads that temporarily exceed the capacity of the generators.

Abstract: A nonlinear resonance model-based active filtering crane steel rope resonance elimination control method, including: constructing a two-dimensional dynamic model of a bridge crane according to a Lagrange's equation; constructing a steel wire rope-motor nonlinear resonance model to detect a harmonic; and eliminating the harmonic by means of active filtering. The present disclosure makes in-depth study on positioning of a crane and intelligent control of an anti-swing and resonance elimination control system and uses active filtering to eliminate resonance between a heavy object and the steel wire rope, thereby reducing a swinging angle and achieving the rapid resonance elimination and anti-swing effect. The active filtering technology can quickly and effectively detect a resonance current so as to effectively suppress resonance between the heavy object and the steel wire rope, and further helps a controller quickly and accurately position a trolley to further improve anti-swing performance.

Abstract: A device controller can include one or more touch sensors, an exterior panel, and a wireless transceiver to communicate with a local network of smart devices and one or more intermediary devices for transmitting scene commands for implementation by a second device controller. The device controller may create a mesh bridge with the one or more intermediary devices to establish a communication link with the destination controller and generate and transmit a set of scene commands via the mesh bridge to the destination controller to cause the destination controller to execute the scene.

Abstract: An environmental control system for a building including building equipment operable to affect a variable state or condition of the building. The system includes a controller including a processing circuit. The processing circuit can obtain training data relating to operation of the building equipment and can perform a system identification process to identify parameters of a system model using the training data. The processing circuit can augment the system model with a disturbance model and estimate values of a historical heat disturbance in the training data based on the augmented system model. The processing circuit can train one or more heat disturbance models based on the training data and the estimated values. The processing circuit can predict a heat disturbance using the augmented system model along with the one or more heat disturbance models and can control the building equipment based on the predicted heat disturbance.

Abstract: A method for estimating a wind speed at a wind turbine is disclosed, said wind turbine comprising a rotor carrying a set of wind turbine blades, each wind turbine blade having a variable pitch angle. A blade torsion contribution, representing torsion introduced in the wind turbine blades, is derived, based on an obtained rotational speed, ?, of the rotor, and an obtaining a pitch angle, ?, of the wind turbine blades. An adjusted pitch angle, ??, is calculated as a sum of the obtained pitch angle, ?, and the derived blade torsion contribution, and a wind speed, vest, is estimated, based on the obtained rotational speed, ?, and the calculated adjusted pitch angle, ??. An accurate and reliable estimate for the wind speed is thereby obtained. The wind turbine may be controlled in accordance with the estimated wind speed, vest.

Abstract: The present invention disclosed a multi-objective operation control method for a micro energy grid, comprising the specific steps of: (1) establishing optimization objectives of the micro energy grid, the optimization objectives comprising comprehensive income maximization and comprehensive energy utilization rate maximization; (2) using GAMS software to solve for an optimal solution and a worst solution for each optimization objective; (3) processing the optimization objectives by means of a weighting method, uniformly changing a weighting coefficient, and acquiring a Pareto frontier by the GAMS software; (4) acquiring reference satisfaction levels of Pareto optimal solutions according to a fuzzy membership degree, and selecting the Pareto optimal solution having the maximum reference satisfaction level as an optimal compromise solution; and (5) executing scheduling of the micro energy grid according to the optimal compromise solution.

Abstract: A system for controlling energy consumption in a building having a heating, ventilation and air-conditioning (HVAC) which includes using an external application to perform HVAC energy consumption optimization algorithms and other external energy control functions and transmit application control data to a building automation system (BAS), which in turn provides hardware level equipment control for the HVAC system. The external application evaluates equipment data received from the HVAC system by way of the BAS and processes these equipment data to provide application control data back to the BAS. The application control data are calculated to achieve a desired operating efficiency for the HVAC system.

Abstract: A method for estimating a state of a combined heat and power system is provided. The method include: establishing an objective function; establishing constraints under a steady-state operating stage; converting the objective function and the constraints by utilizing a Lagrangian multiplier to obtain a Lagrange function; obtaining a steady-state estimation result of the combined heat and power system based on the Lagrange function; calculating an energy transmission delay produced by each pipe; establishing a dynamic constraint of each pipe based on the steady-state estimation result and the energy transmission delay; converting the objective function, the constraints, and the dynamic constraint by utilizing the Lagrangian multiplier to update the Lagrange function; obtaining a dynamic-state estimation result of the combined heat and power system during a dynamic-state operating stage of the combined heat and power system based on the updated Lagrange function.

Abstract: In view of the relevant background art, the present invention is to provide a system or apparatus which enables data in use for learning to be sorted out, thereby reducing the amount of data to be handled. Presenting one example of the control system according to the present invention, the control system including a first processing device to generate a learnt model; and a second processing device to operate employing the generated learnt model and provided with input means, wherein the second processing device transmits information input from the input means to the first processing device; and where the input information as transmitted is information belonging to an area different from an area designated with the learnt model, the first processing device generates an updated learnt model based on the information belonging to the different area as received and the learnt model.

Abstract: Provided is a method and a device for computer-assisted detection of building automation parameters of a building, wherein a first building automation having first building automation parameters is determined for the building, which first building automation is based on one or more classes of respectively local parameters. The classes of local parameters include at least one first class of static building data of the building, a second class of current weather data for the location of the building, and a third class of prior building automation parameters of the building. The first building automation parameters are adapted depending on a number of classes of distant parameters of at least one predecessor building, which is situated at a location that is different from the location of the building. The number of classes of distant parameters at the location or for the location of the respective predecessor building is determined.

Abstract: A computer-implemented method for inferring a device feature of a device produced on a wafer. The method includes: providing a wafer feature model associating a wafer position indicating a position of a produced device on the wafer to a device feature, wherein the wafer feature model is configured to be trained by one or more wafer feature maps and particularly configured as a Gaussian process model, providing a sample device feature of at least one device at a sample wafer position, and inferring the device feature of at least one other device of the wafer depending on the provided wafer feature model.

Abstract: A digital avatar may be used to represent, track, and/or monitor behavior of a tool (e.g., a downhole tool) to track particular tools based on specific characteristics of the tool. For instance, a thermal digital avatar may be used to track or predict thermal generation for particular job durations or power levels based on physical characteristics of the tool. For example, the thermal digital avatar may be used to predict thermal generation based at least in part on a thermal efficiency that is based at least in part on the age of the tool, changes or imperfections in heatsinks, results of after-manufacture thermal testing, or a combination thereof.

Abstract: A service provider apparatus is provided with a first application for executing a process related to a Web page or Web contents, and a service providing part for providing services. The first application sends a request to a second application included in another apparatus. The service providing part receives a service providing request related to the request from the second application, and provides a service depending on the service providing request, so as to expand functions of the services provided by the service provider apparatus.

Abstract: Provided is a production module for the execution of at least one production function upon or for a product, wherein the production function is configured for interaction with a further production function of a further production module in a production operation, and the production module is executable as a self-similar fractal module, having an execution unit for the autonomous execution of the at least one production function, having a processor unit for the delivery of a production service for accessing the at least one production function, a self-description service for the delivery and communication of self-descriptive information incorporating properties of the production function for the further production module, and for the reception of further self-descriptive information incorporating properties of the further production function, a coupling service for the determination of a cooperation zone.

Abstract: A facility implementing systems and/or methods for achieving energy consumption/production and cost goals is described. The facility identifies various components of an energy system and assesses the environment in which those components operate. Based on the identified components and assessments, the facility generates a model to simulate different series/schedules of adjustments to the system and how those adjustments will effect energy consumption or production. Using the model, and based on identified patterns, preferences, and forecasted weather conditions, the facility can identify an optimal series or schedule of adjustments to achieve the user's goals and provide the schedule to the system for implementation. The model may be constructed using a time-series of energy consumption and thermostat states to estimate parameters and algorithms of the system.

Abstract: A system and method for configuring a boiler combustion model are provided. The system for configuring the boiler combustion model may include a model generator configured to generate the boiler combustion model using, as input/output data, data obtained based on measured data, analysis data, and controller information, a model simulator configured to simulate the generated boiler combustion model and output simulated results, and a model modifier configured to evaluate the boiler combustion model based on the simulated results and generate modification information for modifying the boiler combustion model based on the generated boiler combustion model and corresponding evaluated results.

Abstract: Disclosed are an integrated management method and system for a kitchen environment using artificial intelligence. The integrated management system for the kitchen environment includes: a range hood placed above a cooking appliance including a heater, the range hood including a sensor that measures information on an atmosphere environment changed due to an operation of the cooking appliance; a server determining whether to execute a kitchen environment management mode, on the basis of a result of measurement by the sensor; and multiple environment appliances registered in a user account and cooperating over a network, each of the multiple environment appliance receiving a control command corresponding to the kitchen environment management mode from the server, and operating according to the control command.