Abstract: The present invention provides a processing apparatus (10) including: an acquiring unit (11) which acquires an adjustment request specifying a control time period and a control amount for controlling power demand; a determining unit (12) which, on the basis of the adjustment request, determines a first consumer whose power demand is to be controlled, and a control amount of the first consumer and a time period during which power demand of the first consumer is controlled; and an inference unit (13) which infers whether, if power demand of the first consumer were controlled in accordance with a determination result made by the determining unit (12), power demand of the first consumer before and/or after control would change from power demand of the first consumer if the power demand were not controlled.

Abstract: A portable hybrid generator may comprise a sturdy portable housing configured for easy movement and transport, an inverter for managing renewable and non-renewable energy sources, one or more batteries with or without a battery management system, one or more solar panels and solar panel combiner box, a communications systems, and a generator. In some instances the portable hybrid generator may comprise a communications system equipped to simplify the usage, maintenance, and control of the portable hybrid generator.

Abstract: Embodiments herein described provide systems and techniques for performing black start operations. For example, one embodiment provides a method for performing black start operations. The method generally includes operating a wind turbine in a wind park in a first mode to provide power to an alternating-current (AC) grid using a control system. The control system may include a reactive power control leg and an active power control leg. The method also includes switching operation of the wind turbine from the first mode to a second mode based on an indication to perform a black start of an electrical grid and by activating a controller with an integral action to thereby increase output power of the wind turbine, the controller being coupled between the reactive power control leg and the active power control leg, and providing power to the electrical grid while operating in the second mode.

Abstract: A method and computing device for inferring an airflow of a controlled appliance operating in an area of a building. The computing device stores a predictive model. The computing device determines a measured airflow of the controlled appliance and a plurality of consecutive temperature measurements in the area. The computing device executes a neural network inference engine using the predictive model for inferring an inferred airflow based on inputs. The inputs comprise the measured airflow and the plurality of consecutive temperature measurements. The inputs may further include at least one of a plurality of consecutive humidity level measurements in the area and a plurality of consecutive carbon dioxide (CO2) level measurements in the area. For instance, the controlled appliance is a Variable Air Volume (VAV) appliance and a K factor of the VAV appliance is calculated based on the inferred airflow.

Abstract: The present disclosure relates to a system that obtains at least one of a recommended temperature and an operation mode to be set on an air conditioner by applying a position of a user and an ambient temperature of the air conditioner to a learning model trained by using an artificial intelligence algorithm, and sets at least one of the obtained recommended temperature and the obtained operation mode on the air conditioner. In this case, the learning model may be, for example, a model generated by using at least one of machine learning, a neural network, or a deep learning algorithm as the artificial intelligence algorithm.

Abstract: A method for facilitating part fabrication, such as by automated toolpath generation, can include one or more of: receiving a virtual part; modifying the virtual part; and/or determining toolpaths to fabricate the target part. The toolpaths preferably define an ordered series of additive and subtractive toolpaths, more preferably wherein the additive and subtractive toolpaths are interleaved, which can function to achieve high manufacturing efficiency and/or performance. The method can additionally or alternatively include: generating machine instructions based on the toolpaths; fabricating the target part based on the machine instructions; calibrating the fabrication system; and/or any other suitable elements.

Abstract: Methods aim to reduce and/or eliminate the need for shims in manufacturing assemblies, such as in manufacturing of aircraft wings. Exemplary methods include predicting a set of predicted manufacturing dimensions within a range of predetermined allowances for a first part, manufacturing the first part, scanning the first part to determine a set of actual manufacturing dimensions for the first part, and at least beginning manufacturing a second part before the scanning the first part is completed. The second part may be manufactured based on the set of predicted manufacturing dimensions for the first part. Once the scan of the first part is completed, the set of predicted manufacturing dimensions may be compared to a set of actual manufacturing dimensions to check for any non-compliant deviances between the predicted and actual manufacturing dimensions. Repairs and local re-scans may be performed in the areas of the non-compliant deviances, which may streamline manufacturing.

Abstract: A modular robotic apparatus includes one or more sensors configured to generate sensor signals representing a manufacturing environment in which the modular robotic apparatus is located. A machine learning module is communicably coupled to the one or more sensors and includes a computer processor. The computer processor generates, by a machine learning model trained based on one or more manufacturing parameters, a computer numerical control (CNC) configuration. The one or more manufacturing parameters define a manufacturing task to be performed by the modular robotic apparatus. The machine learning model adjusts the CNC configuration based on the sensor signals. A robotic machine tool is communicably coupled to the machine learning module and includes an end effector. The robotic machine tool is configured to operate the end effector in accordance with the adjusted CNC configuration.

Abstract: An artificial intelligence (AI) based apparatus and method for forecasting energy usage receives a request for providing power usage forecasting information of a first period including a current month with respect to an electronic apparatus of a user, divides a use period of the electronic apparatus into first to third sections, loads, from a memory, power actual-use data of a user or a plurality of users during the use period or a predetermined second period before the current month, calculates a daily forecasting weight given a weight based on weather or holiday information of the first period, and generates the power usage forecasting information based on the power actual-use data.

Abstract: An energy virtualization system may include a physical interface gateway that may include a plurality of common interfaces. The plurality of common interfaces may be coupled to a plurality of energy-producing devices, a plurality of energy-control devices, and a plurality of energy-consuming devices. The system may also include a building network, where the plurality of energy-producing devices, the plurality of energy-control devices, and the plurality of energy-consuming devices can communicate through building network. The system may additionally include a computing device running an energy virtualization layer. The virtualization layer may include a plurality of virtual devices representing the plurality of energy-producing devices, the plurality of energy-control devices; and the plurality of energy-consuming devices. The virtualization layer may also direct energy from the energy-producing devices to the energy-consuming devices according to information received from the energy-control devices.

Abstract: The present invention provides a wireless interconnection control system for improving sprinkler irrigation uniformity of hose reel irrigator with electric drive comprising a micro processing controller module, a frequency converter, a water pump AC motor, a pressure transmitter, a GPRS wireless transmission module, a mobile phone client APP, and a coding speed detection module. The microprocessor controller module and the frequency converter form a pressure PID controller to indirectly control the constant nozzle inlet pressure by controlling the pressure of the incoming pressure of the hose reel irrigator. The microprocessor controller module and the matching motor controller with brushless DC motor form a speed PID controller to directly control the reel back speed of the PE pipe. The GPRS wireless transmission module interactively communicates the nozzle inlet pressure, the reel back speed of the PE pipe and the mobile phone client APP through the short message mode.

Abstract: An appliance management system manages information about appliances. The system includes an information collection system and an information transmission apparatus. The information collection system includes a database storing the information about the appliances, and first and second reception processing units that write information about the appliances that has been received to the database. The information transmission apparatus includes a transmission unit that transmits the information about the appliances to the first or second reception processing unit via a communication line, and a transmission information creation unit that creates transmission information as the information about the appliances. The transmission information creation unit creates as the transmission information to be sent to the first and second reception processing units, first and second transmission information from first and second type information about the appliances, respectively.

Abstract: For monitoring an HVAC system (1), HVAC data reporting messages are received and stored in a cloud-based computer system (4). Each HVAC data reporting message includes one or more operation data values included by an HVAC controller (22) of the HVAC system (1). The cloud-based computer system (4) generates (S73) remote diagnoses for a particular HVAC device, using a plurality of HVAC reporting messages received from a plurality of the HVAC controllers (22) from one or more HVAC systems (1). Each remote diagnosis is generated (S73) by using more than one operational data value, included in HVAC reporting messages received (S71) received from HVAC controllers (22) of more than one HVAC systems (1) and/or from at least two different types of operational data values. A diagnosis message which includes a remote diagnosis is transmitted to a diagnosis processing system for the particular HVAC device.

Abstract: The present disclosure provides an air conditioning apparatus and a method for controlling same. The method for controlling an air conditioning apparatus comprises the steps of: the air conditioning apparatus receiving, from an external server, user sleep information acquired on the basis of data on time for which the air conditioning apparatus is operated in a sleep cooling mode used during the user's sleep; and operating in the cooling mode on the basis of the user sleep information. Specifically, at least part of an operation for acquiring the user sleep information on the basis of the user's control command may use an artificial intelligence model obtained by learning according to at least one of a machine learning, a neural network, and a deep learning algorithm.

Abstract: Aspects of the technology described herein provide a system for improved control and monitoring of a movable tower in an irrigation system. A computer controller associated with a tower of an irrigation system receives an indication of parameter modification. The system is then able to change parameters at a component of the tower control system based on the received parameters. The system stores the current drive value at a station to control drive. If the stored drive value is above a threshold level, a drive signal is provided to a motor. The system is operable to selectively apply a drive signal at a tower. The system provides the ability to digitally modify a threshold that is used in a machine run-mode to operate the motor at a tower.

Abstract: The present invention relates to an apparatus and a method of automatically converting thermal displacement compensation parameters of a machine tool, which automatically convert a compensation parameter of a thermal displacement compensation equation of a machine tool so that the compensation parameter is optimized to a current thermal displacement state of the machine tool in real time based on Z-directional or Y-directional displacement data of a tool tip end of a reference tool measured by a tool measuring unit according to an operation state of the machine tool or various kinds of machine tools or thermal displacement data of the machine tool calculated by measuring a processed portion of a processed material, and temperature data measured by a temperature measuring unit, to minimize a processing error according to thermal displacement and improve processing accuracy of the machine tool.

Abstract: An occupancy tracking device configured to establish a network connection with an access point and to capture wireless signal distortion information for the network connection. The device is further configured to generate statistical metadata for the wireless signal distortion information. The device is further configured to input the wireless signal distortion information and the statistical metadata for the wireless signal distortion information into a machine learning model. The machine learning model is configured to determine a predicted occupancy level based on the wireless signal distortion information and the statistical metadata for the wireless signal distortion information. The predicted occupancy level indicates a number of people that are present within with the space. The device is further configured to obtain the predicted occupancy level from the machine learning model and to control a Heating, Ventilation, and Air Conditioning (HVAC) system based on the predicted occupancy level.

Abstract: The present disclosure disclosures a method and an apparatus for controlling a device. The method is applied in an indoor unit of a multi-split system and includes: when a temperature sensor fails, selecting other indoor units operating in the same operation mode with a current indoor unit from all indoor units; obtaining corresponding sensor parameters from temperature sensors of the indoor units operating in the same operation mode; and controlling the device according to the obtained sensor parameters.

Abstract: A system may include a cooling subsystem comprising at least one air mover configured to generate a cooling airflow in the system and a thermal manager communicatively coupled to the cooling subsystem for control of the cooling subsystem and configured to determine an acoustic limit associated with the cooling subsystem, correlate the acoustic limit to an acoustic-based air mover speed limit for the at least one air mover, and control the cooling subsystem to maintain an air mover speed of the at least one air mover below the acoustic-based air mover speed limit.

Abstract: A method for operating an electrical power grid system is provided. The electrical power grid system includes an electrical power grid, a plurality of power generation participants providing electrical power to the electrical power grid, and a plurality of consumers drawing electrical power from the electrical power grid, where at least a portion of the power generation participants include fast-ramping power generation resources and at least a portion of the power generation participants include slow-ramping power generation resources. The method involves controlling dispatch of electricity on the electrical power grid including enabling fast-ramping resources.