Abstract: Embodiments relate to a method for predicting power generation and remaining useful life to predict operational soundness of a power plant and a system for performing the same, the method including acquiring sensing data from each of a plurality of sensors included in a plurality of systems in the power plant, outputting each of a predicted power generation and a predicted remaining useful life from a measurement value in sensing data of an input sensor through a pre-trained prediction model, assessing the operational soundness in aspect of the power generation and the remaining useful life using a prediction result and a current result in each aspect, and determining the operational soundness of the system based on prediction uncertainty and an assessment result in aspect of the power generation and the remaining useful life.

Abstract: An apparatus and a method for controlling a process are provided. An apparatus for controlling a process includes a processor, and a memory for storing a plurality of instructions executed by the processor, in which the plurality of instructions include an instruction for determining deviation tendency of a seating point of a substrate with respect to a seating center point of a substrate support based on a seating point data created by accumulating the seating points of the substrate seated on the substrate support, an instruction for determining an alarm level according to the determined deviation tendency, and an instruction for performing post-processing according to the determined alarm level, in which the seating point data includes a change of the seating point over time.

Abstract: A machine learning apparatus for optimizing transfer of heat quantity is provided.

Abstract: A method for making a spatio-temporal combined optimal scheduling strategy of a mobile energy storage (MES) system includes: inputting data of a power system, a traffic system, and an MES system; setting a time interval, and initializing a time interval counter; inputting real-time fault, traffic, and MES data; and performing rolling optimization and solving, and delivering regulation decision instructions of the MES system, till a fault is removed. The core of the present disclosure is to propose a spatio-temporal combined optimal model of the MES system to describe spatio-temporal coupling statuses of an energy storage vehicle, a traffic network, and a power distribution network. The present disclosure provides guidance for an optimal scheduling decision of the MES system by properly regulating a traveling path and charging and discharging power of the MES system, thereby supporting high-reliability operation of the power distribution network.

Abstract: A control device includes a first controller configured to generate a first operation amount for the device on the basis of an output fed back from the device and a target value, a predicted output generator including a learned model which is machine learned so as to generate a predicted output from the device on the basis of the output fed back from the device and the first operation amount, a second controller configured to generate a second operation amount for the device on the basis of the predicted output and the target value, an integrated operation amount generator configured to generate an integrated operation amount which is an operation amount for the device on the basis of the first operation amount and the second operation amount.

Abstract: A heating, ventilation, and air conditioning (HVAC) control device configured to receive a user input for controlling an HVAC system, to determine whether the user input indicates an energy saving occupancy setting, and to identify a first plurality of time entries that are associated with a confidence level for a predicted occupancy status that is less than a predetermined threshold value in the predicted occupancy schedule. The device is further configured to modify the predicted occupancy schedule by setting the first plurality of time entries to an away status when the user input indicates an aggressive energy saving occupancy setting. The device is further configured to modify the predicted occupancy schedule by setting the second plurality of time entries to a present status when the user input indicates a conservative energy saving occupancy setting. The device is further configured to output the modified predicted occupancy schedule.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining causal models for controlling environments. One of the methods includes repeatedly selecting control settings for the environment based on (i) a causal model that identifies causal relationships between possible settings for controllable elements in the environment and environment responses that reflect a performance of the control system in controlling the environment and (ii) current values of a set of internal parameters; and during the repeatedly selecting: monitoring environment responses to the selected control settings; determining, based on the environment responses, an indication that one or more properties of the environment have changed; and in response, modifying the current values of one or more of the internal parameters.

Abstract: The invention relates to an apparatus for mounting components on a substrate. The apparatus comprises a bond head with a component gripper, a first drive system for moving a carrier over relatively long distances, a second drive system which is attached to the carrier for moving the bond head back and forth between a nominal working position and a stand-by position, a drive attached to the bond head for rotating the component gripper or a rotary drive for rotating the substrate about an axis, at least one substrate camera attached to the carrier and at least one component camera. At least one reference mark is attached to the bond head or the component gripper.

Abstract: A building management system (BMS) provides feedback to a user via a user interface to assist the user in configuring the BMS. It can be challenging for new or less experienced users to understand all of the actions they are performing when configuring a BMS. The feedback presented via the user interface includes graphical and textual feedback to alert the user of actions performed when applying tags. The feedback identifies one or more missing requirements associated with the tags. The feedback presented via the user interface also includes textual summaries of control sequences configured using the BMS. The textual summaries include descriptions of control sequences and instructions for properly configuring the building equipment.

Abstract: A heating, ventilation, and air conditioning (HVAC) control device configured to receive a user input for controlling an HVAC system, to determine whether the user input indicates an energy saving occupancy setting, and to identify a first plurality of time entries that are associated with a confidence level for a predicted occupancy status that is less than a predetermined threshold value in the predicted occupancy schedule. The device is further configured to modify the predicted occupancy schedule by setting the first plurality of time entries to an away status when the user input indicates an aggressive energy saving occupancy setting. The device is further configured to modify the predicted occupancy schedule by setting the second plurality of time entries to a present status when the user input indicates a conservative energy saving occupancy setting. The device is further configured to output the modified predicted occupancy schedule.

Abstract: A method for assessing short-term voltage stability of a power grid based on synchronous spatio-temporal information learning includes: performing a time-domain simulation for each transient fault of a power grid under each operating mode, and extracting temporal response trajectories of each monitoring bus and stability status information of the power grid to obtain a transient sample set; constructing a spatial adjacency matrix and a temporal adjacency matrix separately, and integrating the spatial adjacency matrix and the temporal adjacency matrix into a spatio-temporal adjacency matrix; performing synchronous spatio-temporal information learning by using a graph convolutional neural network algorithm, and performing training to obtain a short-term voltage stability assessment model driven by spatio-temporal information synchronization; and inputting a transient temporal responsive trajectory obtained into the short-term voltage stability assessment model, to obtain an assessment result of short-term volta

Abstract: A method and system are provided for improving predictions of electrical power usage. In the method and system, load and/or environmental data is classified into data sets that correspond to different modes of operation of an electrical load. Different predictive models are also provided for each set of classified data. The predictive models may provide more efficient and/or more accurate predictions of power usage since each model is limited to a particular mode of operation.

Abstract: Methods for controlling curing apparatuses for tyre production, wherein the curing apparatuses are adapted to work on green tyres to obtain corresponding finished tyres by acquiring, through a processing unit, initial parameters describing at least one of the shape and dimensions of the finished tyres. The processing unit computes first parameters describing the green tyres, the first parameters having at least one parameter representative of an axial height of the green tyres; second parameters describing the curing apparatuses, the second parameters having one or more parameters representative of dimensions of the curing apparatuses; and third parameters as a function of the first parameters and the second parameters, the third parameters having one or more parameters representative of positions taken by movable members included in the curing apparatuses. The processing unit generates signals for controlling the movable members of the curing apparatuses.

Abstract: There is provided an information processing system capable of suppressing arising of unprocessed data and depreciation of data with the lapse of time. The information processing system (1) includes a buffer unit (5), a processing unit (6), and a control unit (9). The buffer unit (5) sequentially receives data acquired by an observation terminal (2) from the observation terminal (2). The processing unit (6) sequentially processes the data received by the buffer unit (5). The control unit (9) controls an index value indicating information freshness by adjusting a resource of processing of the processing unit (6). The index value indicating the information freshness is calculated based on elapsed time from the time when the data is acquired by the observation terminal (2).

Abstract: A system and method of simulating and optimizing industrial and other processes includes a computer that performs multivariate analysis of input variables and output variables to generate a data model of the operation of the process. For industrial applications, the input variables include process variables and the output variables include result variables from the operation of the industrial process. The data model determines contributions to changes in the output or result variables by the respective input or process variables and is provided to a predictive algorithm to identify parameter values for input or process variables expected to have a most significant impact on the output or result variables during performance of the process. The outputs of the predictive algorithm are parameter values that are provided as input or process variables to the industrial process for simulation or performance optimization or product recommendations/optimizations.

Abstract: A disturbance suppression apparatus includes a timing prediction device. The timing prediction device includes a dead time acquisition unit, a disturbance start time acquisition unit, and a timing prediction unit. The dead time acquisition unit performs PID tuning to acquire a dead time. The disturbance start time acquisition unit acquires a disturbance start time representing a period from a time point at which a start signal is input to a time point at which a temperature starts to be affected by a disturbance. The timing prediction unit predicts a disturbance manipulated variable application timing on the basis of the dead time and the disturbance start time.

Abstract: The present invention discloses methods and systems for scheduling and distributing power for electric vehicle chargers, through enabling and disabling a plurality of relays at a system. One of the criteria to allow an authenticated user to use an electric vehicle charger is whether there is enough electricity capacity. When the user is allowed to use a scheduled electric vehicle charger, its location is then sent to the user. Alert messages can be generated if charging does not begin within a first time limit and the cancellation of a reservation will take place if the second time limit is reached.

Abstract: A device management system includes a device information transmitting apparatus that collects information about a device, and a management apparatus that communicates with the device information transmitting apparatus via a communication network. At least one of the management apparatus and the device information transmitting apparatus includes an anomaly state input unit that receives an anomaly state of the device, and a designating unit that designates, in accordance with the received anomaly state, first information to be used to identify a cause of the anomaly state of the device. The device information transmitting apparatus includes a first information transmitting unit that transmits the first information to the management apparatus.

Abstract: A system for a semiconductor fabrication facility includes a maintenance tool, a control unit, a first track, a second track, a maintenance crane movably mounted on the first track, a plurality of first sensors disposed on the first track, an OHT vehicle movably mounted on the second track, and a second sensor on the OHT vehicle. The first sensors detect a location of the maintenance crane and generate a first location data to the control unit. The second sensor generates a second location data to the control unit.

Abstract: A method of metal additive manufacturing includes generating a plurality of laser beams and directing the plurality of laser beams to selected portions of a surface of a powder bed of powdered metal. The method also includes monitoring the powder bed while performing the generating and directing, and adjusting at least one of the generating or directing based on the monitoring.