Abstract: A device for a secure data connection of at least one manufacturing machine (104) has an information-processing system (114), which is subdivided into individual zones (108, 110, 112) interconnected by data diodes (120) such that data originating from the machine control (118) of the manufacturing machine (104) in a data flow can be transferred to other zones (108, 110, 112) without the possibility of a data return flow. The individual zones (110, 112) are ordered hierarchically. Each individual zone has a lower level of data security than the upstream individual zone (108, 110) in relation to the data flow. Every individual zone (108, 110, 112) is formed as an independent computer in the manner of an isolated application. In addition, a manufacturing machine and a production plant includes the device for secure data connection.

Abstract: A method for generating a report regarding prioritizations of industrial automation devices in an industrial system may include determining a first score for each of the industrial automation devices. The first score represents a relative importance of each of the industrial automation devices. The method may also include determining a second score for each of one or more parts of each of the industrial automation devices. The second score represents a relative importance of each of the parts with respect to each other. The method may also include generating the report comprising the parts, the industrial automation devices, the first score for each of the industrial automation devices, the second score for each of the parts, or any combination thereof, wherein the report is organized according to the first score, the second score, or based on a combination of the first score and the second score.

Abstract: An injection system, including an injector having a dispensing mechanism configured to dispense a medicament, and a ready-to-use indicator. The ready-to-use indicator includes a controller configured to interact with the ready-to-use indicator and an audio and/or visual indicator, a temperature sensor, and a temperature analog having similar thermodynamic properties of the medicament. The temperature sensor is configured to detect a temperature of the temperature analog which represents the dynamic temperature of medicament as the medicament is heated or cooled. The temperature sensor is configured to communicate the detected temperature to the controller and to alert the controller when a preset temperature is reached. The ready-to-use indicator is configured to alert a user when the preset temperature is reached, signifying the medicament is thermally ready to be delivered by the dispensing mechanism. The audio and/or visual indicator is configured to display indicate one or more notifications to the user.

Abstract: An example method comprises receiving first historical data of a first time period and failure data, identifying at least some sensor data that was or potentially was generated during a first failure, removing the at least some sensor data to create filtered historical data, training a classification model using the filtered historical data, the classification model indicating at least one first classified state at a second period of time prior to the first failure indicated by the failure data, applying the classification model to second sensor data to identify a first potential failure state based on the at least one first classified state, the second sensor data being from a subsequent time period, generating an alert if the first potential failure state is identified based on at least a first subset of sensor signals generated during the subsequent time period, and providing the alert.

Abstract: A facility readiness inspection system and method are disclosed. Embodiments comprise an asset database comprising inspection task definition for assets. An inspection coordination application program interface (API) can create at least one periodic inspection task list. Each periodic inspection task list can include a number of tasks and assets, chosen based on the total time allotted for completion of the periodic inspection task list and the complexity of the inspection task definitions of each physical asset. Mobile electronic device can be configured to present the periodic inspection task list as a series of discrete tasks and to receive task list response data in response to each discrete task. Response data can be compared to benchmarks and standards, and issues can be escalated to external systems. An analytics engine can automatically produce inspection compliance documentation for each of the physical assets related to the periodic inspection task list.

Abstract: Methods and systems for data collection in an environment including pumps and fans are disclosed. A monitoring system may include a data collector communicatively coupled to a plurality of input channels, wherein the input channels are communicatively coupled to sensors measuring operational parameters of a pump or fan. A data storage may store one or more frequencies related to an operation of the pump or fan, and a data acquisition circuit may interpret a plurality of detection values from the collected data. A frequency evaluation circuit may detect a signal on one of the input channels at a frequency higher than the one or more frequencies at which the pump or fan operates.

Abstract: A power device includes one or more electrical components, the electrical components including one or more physical attribute. The power device includes one or more sensors configured to monitor the attribute(s). The power device includes a non-transitory computer-readable storage medium including one or more alerting rule. The power device includes one or more processors configured for retrieving the one or more alerting rule from the storage medium. The processors are configured for monitoring one or more sensor value from the sensor(s), wherein the sensor values are associated with the attribute(s). The processors are configured for evaluating the at least one alerting rule during the monitoring, and when the one or more alerting rule results in a pending failure condition, sending a notification to a user.

Abstract: An apparatus for detecting a fault state of an aircraft is provided. The apparatus accesses a training set of flight data for the aircraft. The training set includes observations of the flight data, each observation of the flight data includes measurements of properties selected and transformed into a set of features. The apparatus builds a generative adversarial network including a generative model and a discriminative model using the training set and the set of features, and builds an anomaly detection model to predict the fault state of the aircraft. The anomaly detection model is trained using the training set of flight data, simulated flight data generated by the generative model, and a subset of features from the set of features. The apparatus deploys the anomaly detection model to predict the fault state of the aircraft using additional observations of the flight data.

Abstract: The present disclosure relates to diagnosing a fault in an electric drive of a process plant. The fault diagnosis method includes receiving fault data from an electric drive upon occurrence of the fault. The method further includes obtaining a fault code and a drive type associated with the electric drive from the fault data. In addition, the method comprises determining one or more drive parts to replace by comparing the fault code and the drive type with a mapped data for a plurality of drive types. The mapped data for each drive type includes a relation between a plurality of fault codes and a plurality of drive parts. The method further includes initiating a maintenance operation involving replacement of the one or more drive parts to address the fault.

Abstract: Systems and methods are described herein for generating potential feature combinations for a new item. A neural network may be utilized to identify positive and/or negative sentiment phrases from textual data. Each sentiment phrase may correspond to particular features of existing items. A machine-learning model may utilize the sentiment phrases and their corresponding features to generate a set of potential feature combinations for a new item. The potential feature combinations may be scored, for example, based on an amount by which a potential feature combination differs from known feature combinations of existing items. One or more potential feature combinations may be provided in a feature recommendation. Feedback (e.g., human feedback, sales data, page views for similar items, and the like) may be obtained and utilized to retrain the machine-learning model to better identify subsequent feature combinations that may be desirable and/or practical to manufacture.

Abstract: A sensor unit includes an orientation sensor, an electronic processor coupled to the orientation sensor, and memory coupled to the electronic processor and storing support structure configuration data and instructions. The instructions, when executed by the electronic processor, cause the sensor unit to monitor a position of a conductor support structure associated with the sensor unit based on data from the orientation sensor and generate an alert message responsive to determining that the position violates a position threshold. The position threshold is generated based on the support structure configuration data.

Abstract: Disclosed is a vacuum valve having a valve closure and having a drive unit which is coupled to the valve closure and which has at least one adjustment element. The vacuum valve furthermore has a position sensor, in particular a travel or distance sensor, such that a position of the valve closure and/or of the at least one adjustment element relative to a zero position, in particular an open position or closed position of the vacuum valve, can be measured.

Abstract: An equipment inspection system receives data captured by a sensor of an autonomous vehicle (AV). The captured data describes a current state of equipment for servicing the AV. The equipment inspection system compares the captured data to a model describing an expected state of the equipment. The equipment inspection system determines, based on the comparison, that the equipment differs from the expected state. The equipment inspection system may transmit data describing the current state of the equipment to an equipment manager. The equipment manager may schedule maintenance for the equipment based on the current state of the equipment.

Abstract: Provided is an abnormality diagnosis device including: a physical quantity measurement processor configured to acquire, as time-series data, a physical quantity of an electric motor or a load; a feature parameter calculation processor configured to calculate feature parameters; a correlation function creation processor configured to create a correlation function for two or more feature parameters, and calculate a correlation coefficient corresponding to a measurement result of the physical quantity that changes depending on an abnormality occurrence state; a database configured to store in advance reference data in which a remaining time until a failure is caused and the correlation coefficient are associated with each other; and a diagnosis processor configured to extract from the reference data the remaining time corresponding to the correlation coefficient, and identify the remaining time until the electric motor or the load causes a failure or a part that has caused a failure.

Abstract: An apparatus, method, and non-transitory machine-readable medium provide for 360° assistance for a QCS scanner with mixed reality (MR) and machine learning technology. The apparatus includes an optical sensor, a display, a Chatbot, cloud service, and a processor operably connected to the optical sensor and the display. The processor receives diagnostic information from a server related to a field device in an industrial process control and automation system; identifies an issue of the field device based on the diagnostic information; detects, using the optical sensor, the field device corresponding to the identified issue; guides, using the display, a user to a location and a scanner part of the field device that is related to the issue; provides, using the display, necessary steps or actions to resolve the issue; and connects, using a cloud server, a user to get modules of installation, commissioning, annual maintenance (AMC) and training for a quality control system (QCS) as per the selected persona.

Abstract: A method includes monitoring unstructured data related to a configuration item in a relevant source, analyzing the data using a natural language processing system, and determining that the configuration item has an event wherein the configuration item is to be maintained in response to the analysis of the data. The method also includes designating that the configuration item is in a maintenance mode and suppressing alerts related to the configuration item while the configuration item is in the maintenance mode.

Abstract: A system and method arranged to predict a match state event by a machine learning platform. The system and method including monitoring, by the machine learning platform, multimedia content on a live data feed, receiving, by the machine learning platform, current match state data corresponding to the multimedia content, and predicting, by the machine learning platform, an anomaly in the multimedia content based on an analysis of received multimedia content and current match state data. The system and method can include generating, by the machine learning platform, a confidence score regarding a likelihood of the anomaly in the multimedia content, and resolving, by the machine learning platform, the anomaly based on the confidence score. Resolving the anomaly includes extracting a portion of the multimedia content containing the anomaly, ignoring the anomaly, or correcting the anomaly.

Abstract: A system and method for predictive ticketing in information technology (IT) systems. The method includes extracting a plurality of features from monitoring data related to an IT system, wherein the plurality of features includes at least one incident parameter, wherein the monitoring data includes machine-generated textual data; applying a machine learning model to the extracted plurality of features, wherein the machine learning model is configured to output a suitable insight for an incident represented by the at least one incident parameter, wherein the suitable insight is selected from among a plurality of historical insights; and generating a predictive ticket based on the suitable insight, wherein the predictive ticket includes a textual description of an expected future symptom in the IT system.

Abstract: Systems and methods for measuring the effectiveness of an agent coaching program calculate a rate of change in a first Key Performance Indicator for a first agent in a first coaching program during a period of time; select a control group of agents in which agents in the control group of agents were not exposed to the first coaching program; calculate an average rate of change in the first Key Performance Indicator for the control group of agents during the period of time; and calculate a first coaching impact of the first coaching program on the first Key Performance Indicator for the first agent relative to the average rate of change in the first Key Performance Indicator for the control group of agents during the period of time.

Abstract: Methods and systems for data collection in an industrial environment include a data collector communicatively coupled to a plurality of input channels, wherein at least one of the input channels is connected to a vibration detection facility coupled to a plurality of vibration components. A data storage stores a plurality of vibration patterns for the plurality of vibration components in a library of vibration patterns. A data acquisition circuit interprets a plurality of detection values, each comprising a representation of collected data corresponding to at least one of the plurality of input channels. An expert system analysis circuit analyzes the plurality of detection values to determine if one of the plurality of vibration components has a recognized vibration pattern corresponding to a stored vibration pattern from the library of vibration patterns. A response circuit provides an alarm condition in response to the vibration component having the recognized vibration pattern.

Abstract: A technology is described for distributed querying of computing hubs for device-generated data. In one example, computing hubs may provide a storage service to devices included in a local device network, and the devices may send device-generated data to the computing hubs to be stored by the storage service. A distributed query may be initiated by identifying the computing hubs that have the device-generated data stored on the computing hubs and sending a message containing query instructions to the computing hubs. The query instructions, when executed on the computing hubs, retrieve the device-generated data from the storage service included on the computing hubs, and the computing hubs may send the device-generated data to a service provider environment.

Abstract: A method and system for acquiring, manipulating and displaying inspection data obtained by sensors associated with submersible inspection vehicle within a housing having a liquid medium is disclosed in the present application. A control system including an electronic controller is operably coupled with the inspection vehicle and is configured to display data transmitted from the sensor and overlay input data from an operator on the display to facilitate real time analysis during the inspection event.

Abstract: Systems, methods and an apparatus for data monitoring. A system may include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors communicatively coupled to the data acquisition circuit; a data storage circuit structured to store specifications and anticipated state information for a plurality of pump and fan types; an analysis circuit structured to analyze the plurality of detection values relative to specifications and anticipated state information to determine a pump or fan performance parameter; and a response circuit structured to initiate an action in response to the pump or fan performance parameter.

Abstract: Methods and systems for data collection in an industrial environment include a data collector communicatively coupled to a plurality of input channels, wherein at least one of the input channels is connected to a vibration detection facility coupled to a plurality of vibration components. A data storage stores a plurality of vibration patterns for the plurality of vibration components in a library of vibration patterns. A data acquisition circuit interprets a plurality of detection values, each comprising a representation of collected data corresponding to at least one of the plurality of input channels. A data analysis circuit analyzes the plurality of detection values to determine if one of the plurality of vibration components has a recognized vibration pattern corresponding to a stored vibration pattern from the library of vibration patterns. A response circuit adjusts a process of the environment in response to the vibration component having the recognized vibration pattern.

Abstract: A system includes sensors for monitoring pressure, flow, pump speed, temperature, and/or other signals at the output of a main hydraulic pump, and a processing system executes one or more methods for identification of hydraulic system events, from the signals, corresponding to state changes and performance of the system and/or its subcomponents. Event identification is performed with classification and/or other machine learning algorithms, with generation of novel training data sets. The sensor(s) can also be used to determine power consumption information about the system and/or its subcomponents. The system processes event-associated outputs for execution of actions for improving system performance, along with other downstream applications.

Abstract: A system and method employing wear debris sensors to monitor the operation of a lubricated mechanical system such as a gearbox (e.g., in a wind turbine), a transmission or an engine in order to control operation of the gearbox in order to reduce damage and/or extend the useful life of the gearbox.

Abstract: A method for monitoring and recording a process in a clean space and a system for implementing same are provided. The method involves providing an electronic process record to a user using at least one processor; monitoring, using at least one sensor, for an event associated with the electronic process record; detecting, using the at least one sensor, the event associated with the electronic process record; recording in at least one data storage, using the at least one processor, information associated with the detected event, the recorded information being associated with a record of the electronic process record in the at least one data storage; verifying, using the at least one processor in communication with the at least one data storage, the recorded information; and storing in the at least one data storage, using the at least one processor, an indication that the recorded information has been verified.

Abstract: This disclosure includes techniques for analyzing patient data. In one example, a method includes accessing, by a computer system, one or more databases comprising health information, with protected health information, for a plurality of patients, accessing, by the computer system, an analytical model, and receiving, by the computer system via a user interface, instructions to apply the analytical model to health information for each of the plurality of patients. The protected health information is isolated from the user interface to restrict access to the protected health information. The method further includes applying, by the computer system, the analytical model to health information for each of the plurality of patients, and storing a result of the analytical model to the one or more databases.

Abstract: A diagnostic device includes a storage unit that stores first information including a first abnormal event which occurred in the past in a plant, a first attribution event that is a cause of the first abnormal event, and a first occurrence probability of the first attribution event, in which a causal relationship between the first abnormal and attribution events is indicated by a tree structure, and second information including a second abnormal event which is supposed to occur in the plant but has not yet occurred, a second attribution event that is a cause of the second abnormal event, and a second occurrence probability of the second attribution event, in which a causal relationship between the second abnormal and attribution events is indicated by a tree structure; and an estimation unit that estimates the cause of the sign of the abnormality, based on the first and second information.

Abstract: A system for determining a priority of monitoring a machine is provided. The system includes a data acquisition module disposed in communication with a sensor. The data acquisition module is configured to generate data based on at least an operational parameter associated with the machine. The system further includes a server configured to determine a first factor indicative of a rate of usage of the machine, a second factor indicative of a number of exceptions of the machine at corresponding severities, a third factor indicative of a risk of unscheduled downtime of the machine, a fourth factor indicative of a distance from a preventive maintenance of the machine, a fifth factor indicative of an importance of a sub-system of the machine, and the priority of monitoring the machine based on at least the first factor, the second factor, the third factor, the fourth factor and the fifth factor.

Abstract: The present invention relates to a power transformer asset management device and a method thereof, the device according to the present invention including: a full cycle database managing full cycle data of a power transformer; a physical performance evaluation unit performing physical performance evaluation that calculates a health index by analyzing and weighting life information, a failure ratio, operation history, and status information of a preventive diagnosis system from the full cycle data; a risk evaluation unit performing risk evaluation by generating a risk matrix using the physical performance evaluation result; an economic evaluation unit performing economic evaluation by evaluating costs over a full cycle of the power transformer; and an asset management unit establishing an investment plan for replacing the power transformer according to a maintenance priority of the power transformer determined using the physical performance evaluation result, the risk evaluation result, and the economic evalua

Abstract: The invention provides a fuzzy curve analysis based soft sensor modeling method using time difference Gaussian process regression, it is suitable for application in chemical process with time delay characteristics. This method can extract stable delay information from the historical database of process and introduce more relevant modeling data sequence to the dominant variable sequence. First of all, the method of fuzzy curve analysis (FCA) can intuitively judge the importance of the input sequence to the output sequence, estimate the time-delay parameters of process, and such offline time-delay parameter set can be utilized to restructure the modeling data. For the new input data, based on the historical variable value before a certain time, the current dominant value can be predicted by time difference Gaussian Process Regression (TDGPR) model. This method does not encounter the problem of model updating and can effectively track the drift between input and output data.

Abstract: Systems and methods provide for managing a power consumption policy for a powered device. A network controller may be configured to receive power consumption information for a powered device (PD) connected to power sourcing equipment (e.g., a PSE device), calculate a predicted threshold for the PD based on the power consumption information for the PD, and transmit the predicted threshold for the PD to the PSE device. Power sourcing equipment is configured to calculate power consumption information for the PD, transmit the power consumption information for the PD to the network controller, receive a predicted threshold for the PD, and implement a power consumption policy for the PD based on the predicted threshold.

Abstract: A system and apparatus is disclosed to automatically determine the identification and selected information relating to instruments. The identification information may be read or determined by various reader systems and then transferred for various purposes. The identification information may be stored on the instrument with a storage system or printing and/or recalled from a memory once the identification is made.

Abstract: A service data transmission method, user equipment, and a network device are provided. The method includes: determining, by a network device, a control message used to indicate at least two SPS configurations, and sending the control message to user equipment; and receiving, by the user equipment, the control message sent by the network device, and activating the at least two SPS configurations based on the control message, where each of the at least two activated SPS configurations is used to transmit corresponding service data. In embodiments of the present invention, at least two SPS configurations can be simultaneously performed, thereby improving service data transmission efficiency.

Abstract: In an embodiment, a system for generating a motor wear metric includes a process configured to obtain a signal associated with a motor of an aircraft, determine a motor wear metric based at least in part on the obtained signal, and output information about motor wear based at least in part on the determined motor wear metric. The system includes a memory coupled to the processor and configured to provide the processor with instructions and store the determined motor wear metric.

Abstract: A robot including a movable portion, a controller, and a storage unit that stores maintenance timing information regarding at least one of the movable portion and the controller. The controller performs predetermined notification processing based on a comparison between elapsed time information and the maintenance timing information. The movable portion and the control apparatus are placed in a predetermined work site on which a second robot is installed. The controller corrects the maintenance timing information or the elapsed time information using information received from the second robot.

Abstract: A method of minimizing components of a heating, ventilation, and air conditioning (HVAC) system from malfunctioning, the method includes measuring, by an accelerometer associated with at least one component of the HVAC system, vibration of the at least one component and receiving, by a controller, actual vibration data reflective of the measured vibration. The method further includes determining, using the controller, whether the actual vibration data is greater than pre-defined acceptable baseline vibration data by more than a pre-defined acceptable amount and responsive to a positive determination in the determining step, adding, by the controller, as a deadband frequency, an operational frequency of the at least one component corresponding to the actual vibration data.

Abstract: A method for generating a report regarding prioritizations of industrial automation devices in an industrial system may include determining a first score for each of the industrial automation devices. The first score represents a relative importance of each of the industrial automation devices. The method may also include determining a second score for each of one or more parts of each of the industrial automation devices. The second score represents a relative importance of each of the parts with respect to each other. The method may also include generating the report comprising the parts, the industrial automation devices, the first score for each of the industrial automation devices, the second score for each of the parts, or any combination thereof, wherein the report is organized according to the first score, the second score, or based on a combination of the first score and the second score.

Abstract: The disclosure provides a stochastic look-ahead dispatch method for power system based on Newton method, belonging to power system dispatch technologies. The disclosure analyzes historical data of wind power output, and uses statistical or fitting software to perform Gaussian mixture model fitting. A dispatch model with chance constraints is established for system parameters. Newton method is to solve quantiles of random variables obeying Gaussian mixture model, so that chance constraints are transformed into deterministic linear constraints, thus transforming original problem to convex optimization problem with linear constraints. Finally, the model is solved to obtain look-ahead dispatch. The disclosure employs Newton method to transform chance constraints containing risk level and random variables into deterministic linear constraints, which effectively improves model solution efficiency, and provides reasonable dispatch for decision makers.

Abstract: A process for monitoring the concentration of bacteria in the water of a water distribution network, wherein the process includes the following steps: measuring the concentration of bacteria in the water by means of a first sensor positioned at a first location in the water distribution network, determining a variable instantaneous value of the expected concentration of bacteria in the water at the first location as a function of a parameter characteristic of the water, comparing the concentration of bacteria in the water measured by the first sensor to the variable instantaneous value, corrective action acting on the concentration of bacteria in the water if the concentration of bacteria in the water measured by the first sensor exeeds the variable instantaneous value. A device for monitoring the concentration of bacteria in the water of a water distribution network is also provided.

Abstract: A system and apparatus is disclosed to automatically determine the identification and selected information relating to instruments. The identification information may be read or determined by various reader systems and then transferred for various purposes. The identification information may be stored on the instrument with a storage system or printing and/or recalled from a memory once the identification is made.

Abstract: The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size; a second base information collecting step S20 of connecting an energy value of a second peak of a driving period to an energy value of a second peak in repetitive another driving period; a setting step S30 of setting an alarm gradient value for the second peak energy value, and a detecting step S40 of detecting the driving unit as an abnormal state.

Abstract: The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size, a second base information collecting step S20 of collecting a peak interval, a setting step S30 of setting an alarm gradient value for the peak interval, and a detecting step S40 of detecting the driving unit as an abnormal state.

Abstract: A configuration that maintains productivity and can automatically execute and control recipes includes a process chamber that processes a substrate, a first transfer chamber in which the substrate is transferred in a vacuum state, a second transfer chamber in which the substrate is transferred in an atmospheric pressure state, a depressurizable preparatory chamber connecting the first transfer chamber and the second transfer chamber, and a controller that executes a maintenance recipe in the preparatory chamber and a production recipe in the process chamber, respectively, in which, when the controller receives an instruction for executing the production recipe during execution of the maintenance recipe, the controller temporarily stops the maintenance recipe and preferentially executes the production recipe, and continuously executes the temporarily stopped maintenance recipe, after completion of the production recipe.

Abstract: Provided herein are techniques related to an industrial system that may have a plurality of industrial automation devices, a database that has a plurality of location datasets that correspond to the plurality of industrial automation devices, and a monitoring system that may communicate with the industrial automation devices via a network and the database. The monitoring system may send a first request to the industrial automation devices in the industrial system to identify an industrial automation device having an active maintenance status. The active maintenance status may be indicative of a maintenance request for the industrial automation device. The monitoring system may send a second request to the database for a location dataset associated with the industrial automation device, generate a visualization that includes the active maintenance status and the location dataset associated with the industrial automation device, and display the visualization via an electronic display.

Abstract: A method for adjusting a complex index with inherent anomalies due to the presence of multiple quality levels of the same indexed characteristic in a single sample. Select embodiments of the present invention provide for adjusting the complex index where at least two or three quality levels of the same characteristic are present in the inspection sample. Various embodiments of the present invention provide an adjustment for a pavement condition index (PCI) established with ranges of severity estimated as low, medium and high for each distress type.

Abstract: A method and system for implementing histogram-based alarms in a production system. Specifically, the method and system disclosed herein entail generating histograms overlaid with frequency (i.e., number of data samples) based class policies to serve as data classifiers for measurements, metrics, or information produced by physical and/or logical sensors. The accurateness of histograms to represent distributions of data, however, may depend on certain constraints—one of which may be the number of intervals or buckets employed. Therefore, disclosed herein is also a methodology for identifying an optimal number of buckets, for particular sensor specific datasets, based on a maximum samples trend and an empty buckets trend associated with the datasets.

Abstract: The disclosure provides a stochastic dynamical unit commitment method for power system based on solving quantiles via Newton method, belonging to power system technologies. The method establishes a unit commitment model with chance constraints for power system parameters. Quantiles of random variables obeying mixed Gaussian distribution is solved by Newton method, and chance constraints are transformed into deterministic linear constraints, so that original problem is transformed into mixed integer linear optimization problem. Finally, the model is solved to obtain on-off strategy and active power plan of units. The disclosure employs Newton method to transform chance constraints containing risk level and random variables into deterministic mixed integer linear constraints, which effectively improves the model solution efficiency, eliminates conservative nature of conventional robust unit commitment, provides reasonable dispatch basis for decision makers.

Abstract: Processing of data relating to energy usage. First data relating to energy usage is loaded for analysis by an energy management platform. Second data relating to energy usage is stream processed by the energy management platform. Third data relating to energy usage is batch parallel processed by the energy management platform. Additional computing resources, owned by a third party separate from an entity that owns the computer system that supports the energy management platform, are provisioned based on increasing computing demand. Existing computing resources owned by the third party are released based on decreasing computing demand.