Abstract: The present invention belongs to the technical field of integrated energy system (IES), and provides a method and system of multi-time scale compound control of IES based on dual-loop feedback robust model predictive control (RMPC), comprising: analyzing multi-time scale characteristics of typical equipment and integrated demand response (IDR), establishing a compound control framework for equipment-side-load-side coordination, carrying out differential control on different time scales through intra-day three-layer controller aiming at the difference in regulation rate and response characteristics between the multi-energy equipment and the IDR, modifying, layer by layer, a reference of upper layer and issuing control strategies in real-time, which fully stimulates flexibility on both sides of supply and demand.

Abstract: A system includes a first artificial intelligence unit that predicts a performance value by using, as an input, each of a plurality of verification datasets including combinations of the parameter types that are same as the combinations of the parameter types at the time of learning; a selection unit that selects one set of parameter types from a plurality of sets of parameter types included in the plurality of verification datasets predicts performance values of a target substrate processing apparatus obtained by changing variable parameters among the parameters including the selected set of parameter types with, as an input, a fixed parameter intrinsically determined for a target substrate processing apparatus among parameters including the selected set of parameter types, and outputs a combination of parameter values yielding a performance value, among the predicted performance values, satisfying an extraction criterion.

Abstract: Disclosed is a supply guarantee method for a power distribution network (PDN) considering demand response and dynamic reconfiguration, including the steps of: depicting a photovoltaic output, a wind turbine output and a load model according to meteorological factors of extreme high temperature weather, the meteorological factors including temperature and illumination, and constructing a user response model according to a user demand side response participation degree; and determining outage loss coefficients of different power consumption scenarios, constructing a PDN load reliable supply model based on the outage loss coefficients, and solving the PDN load reliable supply model to obtain a PDN supply guarantee strategy.

Abstract: A device for controlling an operation of a system performing a task determines a current control input based on the feedback signal by solving a polynomial optimization of a polynomial function with a reformulation derived by introducing additional variables reducing the degree of the polynomial function till a target degree subject to constraints on a structure of the additional variables. The device solves a mixed-integer optimization problem to find a subset of encodings among all possible encodings of factorizations of the polynomial function that reduce the degree of the polynomial function to the target degree with a predetermined minimum number of additional variables and selects an optimal encoding from the subset of encodings with an optimal relaxation bound.

Abstract: In a data obtaining step, a data obtaining unit may obtain certain data at a plurality of sampling times. The data may include measurement information regarding the amount of wear of the cutting tool and measurement information regarding a physical quantity of the cutting tool during cutting. In a clustering step, a clustering unit may cluster a plurality of pieces of the obtained data on the basis of the measurement information regarding the physical quantity included in each of the plurality of pieces of data. In a model creation step, a model creation unit may create, for each of clusters on the basis of the measurement information regarding the physical quantity and the measurement information regarding the amount of wear included in the data, a model for obtaining estimation information regarding the amount of wear from new measurement information regarding the physical quantity.

Abstract: Various embodiments include a control apparatus for controlling a power consumption and/or a power output of an energy system via a network connection point of a low-voltage network, wherein a line voltage can be detected at the network connection point by the control apparatus. The control apparatus comprises a processor programmed to reduce the power consumption and/or to increase the power output if the line voltage is below a first threshold value and/or to increase the power consumption and/or to reduce the power output if the line voltage is above a second threshold value greater than the first threshold value.

Abstract: Provided are a distributed energy storage planning method and system for a power distribution network. The method includes a step S1 of setting a mathematical indicator for quantitatively evaluating superiority and inferiority of construction positions of distributed energy storage assemblies as a location evaluation indicator in a distribution area of a distributed power supply, a step S2 of planning an optimal laying path of the distributed energy storage assemblies in a planning area based on the location evaluation indicator and a step S3 of constructing the distributed energy storage assemblies according to the optimal laying path and connecting the distributed energy storage assemblies to the power distribution network to perform an energy storage operation so that the distributed power supply performs orderly energy storage on the distributed energy storage assemblies in the power distribution network.

Abstract: A method and system for performing analysis and calculation of multi-energy flow for integrated energy system (IES), comprising establishing electrical power flow model, hydraulic model and thermal model, to form preliminary model of IES; constructing DHL-LSTM neural network for nonlinear regression of electrical power flow model, construct SHL-LSTM neural network for nonlinear regression of hydraulic model, and finding optimal parameters of two neural networks; training the two models, and adding error compensations into the two models; simplifying the thermal model, to obtain mechanism-driven linear thermal mode; and embedding mechanism-driven linear thermal model into error-compensated hydraulic model and error-compensated electrical power flow model respectively, to form and use final model of the IES to perform analysis and calculation of multi-energy flow.

Abstract: An AI-based platform for enabling intelligent orchestration and management of power and energy is disclosed. The platform includes a system configured to perform automated and coordinated governance of a set of energy entities that are operationally coupled within an energy grid and a set of distributed edge energy resources. At least one of the distributed edge energy resources is operationally independent of the energy grid.

Abstract: A method of monitoring hierarchical asset groups includes the operations of: receiving a plurality of asset group configuration parameters comprising one or more association specifications, each association specification defining an association between an asset and a corresponding asset group of a plurality of asset groups of an asset hierarchy; receiving definitions of one or more asset group metrics, wherein each asset group metric of the one or more asset group metrics is derived from a search of machine data associated with a corresponding asset group; associating, with each asset group of the plurality of asset groups, a corresponding asset group metric of the one or more asset group metrics; generating one or more alert definitions associated with an asset group of the plurality of asset groups; monitoring, using the one or more asset group metrics, the asset hierarchy; and generating an alert based on the one or more alert definitions.

Abstract: When a worker executes an operation on an actual plant, an information processing device generates a first calculation result obtained by calculating a behavior of the actual plant after execution of the operation using a virtual plant following an operational status of the actual plant and generates each second calculation result obtained by calculating a behavior of the actual plant with respect to each of operation pattern plans corresponding to a state of the actual plant. The information processing device evaluates the operation that is executed by the worker based on the first calculation result and the second calculation result.

Abstract: A touchless multi-staged retail process automation systems and methods (retail process automation system) to automate key store functionalities within retail stores is disclosed. The retail process automation system receives a set of commands (e.g., a voice command) to automatically perform retail store operations such as opening a store, closing a close, automatically opening tills, etc. with the single command. As a result, the retail process automation system replaces the multiple-touches required by conventional systems with a touchless solution, thereby providing increased time and resource efficiency of managing store operations. For example, the retail process automation system intercepts a voice command to identify the associated retail store information and source of the command. The retail process automation system then generates a set of operations associated with the received voice command to alter a state of the retail store.

Abstract: A method and device for supporting weak networks in an AC/DC distribution network are provided. The method includes the following steps: constructing a topology of the AC/DC distribution network, where the topology is configured to support the weak networks and isolate faults actively, and the topology is a multi-terminal ring structure; establishing a distributed optimization method for the AC/DC distribution network based on the topology; obtaining power fluctuations of the AC/DC distribution network, where the AC/DC distribution network can switch a droop control mode automatically according to the power fluctuations; and obtaining frequency fluctuations of the AC/DC distribution network, where the AC/DC distribution network performs energy dispatching according to the frequency fluctuations to match the droop control mode of the AC/DC distribution network.

Abstract: Systems, methods, and messages of the present invention provides IP-based messages associated with the grid elements, wherein each IP-based message includes an internet protocol (IP) packet that is generated autonomously and/or automatically by the grid elements, intelligent messaging hardware associated with the grid elements, at least one coordinator, and/or a server associated with the electric power grid and its operation, energy settlement, and/or financial settlement for electricity provided or consumed, transmitted, and/or curtailed or reduced. The IP packet preferably includes a content including raw data and/or transformed data, a priority associated with the IP-based message, a security associated with the IP packet, and/or a transport route for communicating the IP-based message via the network.

Abstract: A method may comprise receiving, at a central controller, a command, from a remote control, to adjust a feature of a first component of an air mattress framework; relaying, from the central controller, the command to the first component; receiving from the first component at the central controller, an indication of the success of the command; and relaying the indication from the central controller to the remote control.

Abstract: The bed with flowing water sound effect maintains a flow of water. The turbulence generated by the flow of water generates a noise commonly called white noise. The bed with flowing water sound effect is positioned near a bed. The white noise generated by the bed with flowing water sound effect helps the patient to sleep. The bed with flowing water sound effect incorporates a fluid management structure, a control circuit, and the bed. The bed further comprises a headboard. The fluid management structure mounts and the control circuit mount in the headboard. The fluid management provides the flow paths and the motive forces necessary to generate the flow of water. The control circuit: a) controls the operation of the fluid management structure; b) provides the fluid management structure with electric energy; and, c) generates an illumination that is visible from the headboard.

Abstract: In a networked solar power generation plant system, solar power generation plants are virtually integrated for accurately and suitably discharge-outputting electric power stored in the networked solar power generation plants, at optional time and in an optional amount, to a power transmission network. Solar power storage battery units are provided as terminal units, the networked solar power generation plant system is controlled by an external management computer, an information network is provided such that the external management computer is capable of accessing to identification informations of communication controllers, specific informations of the solar power storage battery units, power storage informations of the solar power storage battery units and electric power demand informations, and the external management computer controls each of the solar power storage battery units, so as to produce and control a discharge output plan of each of the solar power storage battery units.

Abstract: The present invention provides a system designed to prevent overload and blackout in utility distribution transformers within a local power grid. It includes a utility distribution transformer, users, and a local storage battery, all coordinated through utility load balancing. A temperature-sensing module monitors real-time heat variations, while an electrical output-sensing module tracks and calculates demand. Data from these modules is stored in a database for historical and real-time analysis. An integrated analysis module processes this data to detect decreases in transformer output power. Upon detection, the system discharges energy from the local storage battery to balance the load. Additionally, if a decrease in output power occurs alongside rising temperature, the system alerts the utility service provider to address potential issues and prevent failures.

Abstract: Provided is a numerical control device whereby the execution state of a program can be more intuitively confirmed. This numerical control device, which controls a machine tool on the basis of a program, comprises: a program execution unit having a prescribed function for executing a program in response to the rotation of a manual handle of the machine tool; an execution state identification unit that identifies the execution state of the program; and a haptic controller that generates haptic feedback in the manual handle on the basis of the prescribed function and the execution state of the program.

Abstract: Disclosed herein are AI-based platforms for enabling intelligent orchestration and management of power and energy. In various embodiments, a policy and governance engine is configured to deploy a set of rules and/or policies that govern a set of energy generation, storage, and/or consumption workloads, wherein the rules and/or policies are associated with a configuration of a set of edge devices operating in local data communication with a set of energy generation facilities, energy storage facilities, energy delivery facilities or energy consumption systems. In some embodiments, upon configuration in the policy and governance engine, a policy associated with an energy generation instruction is automatically applied by at least one of the edge devices to control energy generation by at least one energy generation system that is controlled via the edge device.