Abstract: A part analysis tool is used to analyze aspects of a composite part. The part analysis tool includes a verification control unit that compares numerical control data used to control operation of a forming system that is used to form the composite part to computer-aided design (CAD) data that includes an authoritative part definition for the composite part. The verification control unit determines whether the numerical control data is within one or more conformance thresholds related to the CAD data. The part analysis tool may also include an inspection control unit that compares inspection data of one or more plies of the composite part to the CAD data. The inspection control unit determines whether the inspection data is within the conformance threshold(s) related to the CAD data.

Abstract: An intra-day rolling scheduling method for an integrated heat and electricity system including: establishing an objective function for scheduling of the integrated heat and electricity system, the objective function aiming to make operating costs of the integrated heat and electricity system to be a minimum; establishing constraints for a steady-state safe operation of the integrated heat and electricity system; and solving the objective function based on the constraints by an interior point method, to obtain an active power and a heating power of each combined heat and power unit, an active power of each thermal power unit, a heating power of each heat pump, and an active power consumed by each circulating pump.

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 method for generating an AI-based building energy model for a client building, comprising: generating an energy profile database by: defining a set of building parameters; generating energy profiles by simulating a set of physical building models; and, populating the energy profile database with the energy profiles; determining an energy profile for the client building by: splitting the energy profile database into groups and clustering each group into a set of clusters; selecting a cluster; and, selecting the energy profile in the cluster that is a closest match to that of the client building; selecting a physical building model from a building model database that corresponds to the energy profile; calibrating the physical building model to generate an adjusted building model; and, generating a set of training datasets from the adjusted building model and inputting the set of training datasets into an AI module to generate the AI-based model.

Abstract: Various embodiments distributively control a wind park having a plurality of wind turbines. Each wind turbine controlled by its own turbine controller. Each turbine controller determines power production capability of its dedicated wind turbine. The power production capability of the single wind turbine is communicated with a plurality of other turbine controllers in the wind park. A consensus power distribution schedule to distribute power to a power grid is determined using votes from each turbine controller in the wind park. Energy is discharged from each wind turbine to a power grid according to the power distribution schedule. When one wind turbine fails, a new power distribution schedule is determined using votes from each remaining turbine controller and energy is discharged from each wind turbine to the power grid according to the new power distribution schedule.

Abstract: A method for controlling a wind power plant connected to an electrical grid, the wind power plant comprising at least one wind turbine generator and a power plant controller, the power plant controller comprising a signal controller for controlling an electrical parameter with a gain, the method comprising, measuring at least one electrical parameter in the electrical grid , determining an internal signal value at least partially based on the at least one electrical parameter, comparing the internal signal value with a saturation value, and if the internal signal value exceed the saturation value, increasing the gain of the signal controller to a first gain value, in order to decrease a rise time for a slope for the electrical parameter in the electrical grid.

Abstract: A system includes an energy storage device geographically proximate a plurality of load centers. The energy storage device is coupled to one or more of the plurality of load centers for supplying energy to the load centers and is also coupled to an energy generation source for receiving energy from the energy generation source. The system also includes a control system that is operable to receive energy market data, monitor the plurality of load centers, the energy storage device, and the energy generation source, and control the charging and dispatching of the energy storage device based on the monitoring and the energy market data.

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: There is disclosed a non-transitory machine readable storage medium encoded with instructions executable by a processor and comprising instructions to: receive object data corresponding to a three-dimensional object to be generated; define print data for each of a plurality of slices of the object to control a respective layer forming operation in which print agent is ejected on a layer of build material in a pattern corresponding to selective fusing of the build material, wherein the print data and the respective pattern is defined for each slice according to object a print definition procedure; and select the print definition procedure from a plurality of print definition procedures based on a user input. There is also disclosed a corresponding method and additive manufacturing apparatus.

Abstract: Disclosed is a method for identifying the topology of an electric power network allows for the automatic and efficient identification of network topology without the knowledge of network parameters. The method is based on the estimation of mutual current sensitivity coefficients and on an algorithm to obtain the network incidence matrix from the estimated sensitivity coefficients. This algorithm is based on the general assumption that the metering unit that is the most sensitive to the variations of the measured current in a branch connected to a particular node is the metering unit that is arranged at the physical node immediately upstream form the particular node. The method effectively considers the presence of noise in the measurements and its time correlation.

Abstract: A method, system and computer program product are provided for implementing anomaly detection and notification through profiled context. Anomalies are detected by effectively using multiple devices and using predefined profiles to generate a contextual comparison for subtle differences detected. When predefined subtle anomalies are detected using at least one of the predefined profiles, a selected notification is provided.

Abstract: The present disclosure provides a method and system for power prediction of a photovoltaic power station based on operating data of grid-connected inverters, including: constructing a photovoltaic module model according to parameters of a photovoltaic module in a photovoltaic power station; constructing a power prediction model based on an artificial neural network algorithm; acquiring output data of a photovoltaic array when being shaded by static shadows of different thicknesses and different shading areas, constructing a training set to train the power prediction model, and obtaining a trained power prediction model; and acquiring, classifying, and normalizing output powers in real-time operating data of an inverter when the photovoltaic array is under a clear sky condition, and predicting a output power of the entire photovoltaic power station by using the trained power prediction model, the power prediction including a rolling prediction of the output power of the photovoltaic power station under a clear

Abstract: Embodiments of systems and methods to relate welding wire to a welding power source are disclosed. One embodiment is a networked system having a server computer. The server computer is configured to receive first data including at least one of an identity or a location of a consumable source of welding wire, and at least one of a weight status, indicating a change in weight, or an energization status, indicating an energization state, of the consumable source of welding wire. The server computer is configured to receive second data including at least one of an identity or a location of a welding power source, and an activation status indicating an activation state of the welding power source. The server computer is configured to match the welding power source to the consumable source of welding wire based on at least the first data and the second data.

Abstract: Model predictive control is used to obtain the best performance value for an objective in a dynamic environment. One or more best performance values for a model predictive application are obtained by utilizing asymmetric dynamic behavior that pushes the process to the edges of the operative window. When a setpoint becomes infeasible, a controller slows down when moving away from a specified setpoint. When the infeasibility clears and the controller starts moving back towards the setpoint, the controller follows a tuned speed. When the controller moves in a direction against economic profit, the controller slows down and when moving in the direction of economic profit, the controller follows the tuned dynamic speed. The controller computes the best performance value for each controlled variable and is equal to the setpoint for the controlled variables with a setpoint or the highest profit value between limits for controlled values affected by economic functions.

Abstract: A processor-implemented method of controlling an HVAC system transforms a comfort map into a plurality of sequential constant-temperature segments that are used in generating a control temperature sequence that preserves occupant comfort while improving energy efficiency. The method balances user comfort, temperature trajectory execution complexity, operational HVAC trajectory realization, and energy efficiency. The system achieves this balance through utilization of comfort map metric data, analysis and control system execution. The system, comfort map metric data processing and analysis facilitates this balance by executing a control temperature sequence/temperature trajectories developed based on direct user comfort feedback data within the context of a comfort map and thermal equilibrium boundaries derived from the comfort map.

Abstract: According to some embodiments, system and methods are provided comprising generating a nominal computer-aided design (CAD) image of a component; producing a physical representation of the component from the nominal CAD image using an additive manufacturing (AM) process; measuring the physical component to obtain measurement data; determining a deviation between geometry associated with the nominal CAD image and the obtained measurement data; determining a compensation field for the deviation, if the deviation is outside of a tolerance threshold; modifying the nominal CAD image by the compensation field; and producing a physical representation of the component from the modified nominal CAD image. Numerous other aspects are provided.

Abstract: A control system for identifying and responding to effective system changes in a monitored system includes data collection, change identification, classifier construction, effective system change and parameter adjustment modules. The data collection module tracks parameters of the monitored system. The change identification module, based on the parameters, identifies: during training, performance changes and first system changes; and post training, a set of performance changes and second system changes. The classifier construction module, based on the performance changes and the first system changes construct a performance-system change classifier module. The performance-system change classifier module, based on the set of performance changes, determines possible system changes and respective probability values. The effective system change module, based on the second and possible system changes, determines effective system changes and respective probability values.

Abstract: An additive manufacturing system may include a controller operably coupled to a vision system and an additive manufacturing machine. The controller may be configured to determine in a library-CAD model, a nominal model-interface traversing a nominal model corresponding to a workpiece, to compare the nominal model-interface of the library-CAD model to a digital representation of a workpiece-interface of the workpiece, where the digital representation has been obtained using the vision system, and to generate a model of an extension segment based at least in part on the nominal model-interface, with the model of the extension segment being configured to be additively printed on the workpiece-interface of the workpiece.

Abstract: The fluid controller includes a fluid control module and an external control module. The fluid control module includes a control valve on a flow channel, a valve driver circuit that drives the control valve, a fluid meter on a flow channel, and a first processor that processes a signal output from the fluid meter. The external control module includes a second processor that processes a signal output from the first processor. The second processor outputs a valve control signal according to the signal of the fluid meter output from the first processor, the valve control signal is directly input to the valve driver circuit without through the first processor, and the valve driver circuit outputs a voltage that drives the control valve according to the valve control signal from the second processor.

Abstract: Systems and methods of controlling a dispatch operation of an energy storage system are provided. In particular, a degradation value of a present dispatch state of an energy storage system can be determined. The present dispatch state can specify one or more energy storage units presently coupled to the system. The degradation value can be determined based at least in part on one or more operating parameters, such as temperature, open circuit voltage, charge or discharge current, and/or contactor life. The degradation value can then be compared against one or more degradation values associated with one or more candidate dispatch states. A dispatch state can then be selected based on the comparison. One or more energy storage units can be selectively coupled to the energy storage system based at least in part on the selected dispatch state.