Abstract: A method and apparatus for detecting and prioritizing loads comprising a load analyzer configured to receive at least one load monitoring signal from at least one channel, where each channel is configured to be coupled to at least one load, and analyze at least one load signature derived from the at least one load monitoring signal to detect a load type that is connected to the at least one channel and assign an energy consumption priority to the at least one load.

Abstract: An apparatus control device includes a processor that acquires a stimulus acting on an apparatus from an outside, and sets an action time based on the acquired stimulus data, the action time being related to a behavior that a user of the apparatus habitually performs, the action time being a time at which the apparatus acts.

Abstract: A computer system for real-time coordinated operation of power distribution systems and electric vehicles identifies a set of integrated hybrid resources (IHRs), wherein each IHR within the set of IHRs comprises one or more of: energy storage (ES) systems, solar generating units, electric vehicles (EVs), and/or inflexible loads. The computer system executes, at an IHR selected from the set of IHRs, a deep deterministic policy gradient (DDPG) algorithm, the DDPG algorithm utilizing a critic deep neural network and an actor deep neural network. The critic deep neural network estimates a Q-value of an action for a given state, and the actor deep neural network estimates a best action for the given state. Based upon an output of the DDPG algorithm, the computer system generates a charging schedule for the ES systems and the EVs within the IHR.

Abstract: An actuator assembly provides redundancy to maintain operation when a driver link is inoperable due to jamming or breakage of a prime mover, gear, link, or other drivetrain component. The actuator assembly includes a first motor and a second motor that each generate rotational forces. A first driver link is coupled to the first motor and to a first output link. Similarly, a second driver link is coupled to the second motor and to the second output link. The first output link and the second output link are also coupled to a connecting link. The connecting link exhibits a displacement force to control an angle of a control surface in an aircraft, or other vehicle, or equipment. A controller changes the control mode to enable a desired output state to be achieved in a normal operation or under a fault condition when one of the driver links is non-operational.

Abstract: A three-dimensional (3D) printer system for printing structures on a property, including a 3D printing apparatus comprising an extruder configured to layer material to manufacture a structure, and a processor configured to receive a non-fungible token (NFT) that includes a blueprint for a printable structure and a numerical index. The numerical index is a number of allowed printing operations for the blueprint. The processor may also determine whether the numerical index is above zero. Additionally, the processor may, in response to determining that the numerical index is above zero, cause the 3D printing apparatus to manufacture the printable structure based on the blueprint, and subtract one from the numerical index after the 3D printing apparatus has manufactured the printable structure.

Abstract: Systems and methods for generating verifiable power line sustainability data are disclosed herein. In many embodiments, a device includes a processor, a memory commutatively coupled to the processor, a communication port coupled with a second device, and a smart meter logic configured to execute within a trusted execution environment. Power source data may be received through the communication port. The power source data may be processed such as attesting to the validity of the data through a trusted execution environment. The received power source data may be communicated to energy-consuming devices and formatted to allow the energy-consuming devices to adjust their energy consumption in response to a metric, such as a sustainability metric, within the power source data. Sustainability metrics can include a power source carbon footprint, greenhouse gas mix values, and/or other indicators. Power use decisions for energy-consuming devices can be made in response to these verified sustainability metrics.

Abstract: A non-transitory computer-readable medium stores instructions that, when executed by processors, cause them to configure an electrical generation facility to meet a power factor requirement by determining a range of inverter counts, generating combinations of inverter counts and power factor settings based on manufacturer specifications, filtering combinations where active power output exceeds a peak output limit, calculating total reactive power contribution for each combination, determining plant-level power factor based on losses across facility components, determining capacitor bank size to address remaining reactive power gaps, generating a configuration matrix comprising inverter count, power factor setting, and capacitor bank size, applying an optimization algorithm to determine deployment factors, and selecting a configuration based on those factors.

Abstract: Methods, systems, apparatuses, and non-transitory computer-readable media are provided for optimizing energy dispatch. In one implementation, the computer-readable media includes instructions to cause a processor to: generate a plurality of energy dispatch patterns for utilizing one or more energy storage units; generate, based on data determined for each energy dispatch pattern of the plurality of energy dispatch patterns, a recommended energy dispatch pattern; and adjust the one or more energy storage units to dispatch electricity according to the recommended energy dispatch pattern.

Abstract: Automatically managing surplus and deficiencies on an electrical distribution network comprises sending and receiving information from a connected control point of a computer-based grid controller, and operating the control point, including: monitoring the energy surplus and deficiency state of the electrical distribution network to predict the energy surplus and deficiencies on the electrical distribution network. Locally trained machine learning models are run against collected data corresponding to an electrical distribution network to generate predictions of energy consumption and generation at one or more sites that each include at least one locally controlled energy management system.

Abstract: A power management system may include processing circuitry and storage media storing instructions that, when executed by the processing circuitry cause the processing circuitry to perform operations. The operations may include receiving an overload indicator indicative of an overload condition of a power grid that supplies electrical power to multiple consumers and implementing a load reduction plan for a consumer in response to the overload indicator. The load reduction plan may indicate one or more electrical components of the consumer for which to reduce respective power draws. The operations may also include sending one or more control signals to the electrical components in accordance with the load reduction plan to change respective operating states of the electrical components such that the respective power draws of the electrical components are reduced.

Abstract: The present disclosure relates to a sunlight-adaptive intelligent irrigation system based on solar charging power detection and a method thereof. This system comprises a main control unit, a parameter setting module, a solar detection module and a drive execution module. By utilizes solar panels to detect electrical parameters to indirectly sense light intensity, the main control unit adaptively adjusts the irrigation amount accordingly. This addresses the issue of conventional timed irrigators being unable to adjust water volume based on sunlight conditions, thereby achieving water conservation and efficient irrigation.

Abstract: An exemplary method includes, capturing, during a semiconductor fabrication process performed using a semiconductor processing device including a liquid distribution component configured to dispense a liquid flowing with an intact curtain profile, first images of a view of a chamber of the semiconductor processing device. The method includes determining curtain profile classifications of the first images. A curtain profile classification of the curtain profile classifications indicates a first value indicating that an image exhibits the liquid flowing with the intact curtain profile, or a second value indicating that the image does not exhibit the liquid flowing with the intact curtain profile. The method includes determining a plurality of groups of images based upon an order of the first images and the curtain profile classifications of the first images.

Abstract: A method and system for controlling voltage and/or reactive power for electrical grids includes monitoring the output of the energy generation facilities at the point of interconnection (POI) of each energy generation facility to the power system of the electrical grid. In addition, the voltage at a point of utilization (POU) is monitored to determine when the output voltage of the energy generation facilities must be adjusted to maintain voltage at the POU. In addition, when it is determined that energy generation facilities are exchanging reactive power, the voltage set points of the energy generation facilities are adjusted to reduce the exchanged power.

Abstract: A direct-drive wind farm parameter tuning method and system considering the interaction between generators are provided. The method includes: collecting initial oscillation current of each direct-drive wind turbine port in the direct-drive wind farm; according to collected data, taking period of dominant oscillation mode as the iteration period to calculate the overall farm-grid interaction dynamic energy and parameter tuning index of the direct-drive wind farm in current iteration period; obtaining stability level of the direct-drive wind farm based on the overall farm-grid interaction dynamic energy in the current iteration period; when the system is unstable, the optimization model of key control parameters is established with the minimum value of the parameter tuning index in the current iteration period as the objective function and the range of each key control parameters as the constraint condition to achieve the key control parameters tuning of the direct-drive wind farm.

Abstract: According to an aspect of the present disclosure, a system-level low voltage ride-through (LVRT) control system for a renewable power plant (RPP) connecting to a weak grid is provided. The system includes a voltage boundary vector trajectory model that captures geometric relationships of system-side responses to determine voltage controllable boundaries. The system includes a discrete and clustering matrix-based calculation algorithm that computes optimal current commands within the constructed boundaries.

Abstract: A model prediction-based control method for grid forming of multi-port autonomous reconfigurable solar plants includes: estimating and predicting system parameters by establishing a multi-port autonomous reconfigurable solar plant and a dynamic model of a synchronous generator model; converting an objective function into an unconstrained optimization problem, using Newton's method to achieve minimum computational burden within each calculation time step to find a solution in real time for obtaining an optimal angular frequency; based on results of the optimal angular frequency, updating an output voltage and a dq-axis current of the multi-port autonomous reconfigurable solar plant, and changing an arm modulation index of the plant, thereby realizing the plant's inertia and primary frequency modulation support. The model prediction-based control method provided by the present invention achieves rapid prediction during operation and improves frequency response, rapidity and system stability.

Abstract: A power control system for performing power control such that a target power set for a group including a plurality of consumers is not exceeded includes a server that generates control information, and a control device that controls power usage of an equipment device in accordance with the control information, and the server sets a limit value of power usage of each consumer in the group, generates control information including the limit value, and transmits, before a corresponding time period starts, the generated control information to the control device that performs control, and further the control device holds the received control information and controls, for each time period, power usage of an equipment device of the consumer in accordance with control information for the time period within control information held in the storage unit.

Abstract: An information processing device includes a summary request storage unit that stores a summary request created in advance; a summary request management unit that receives a summary request acquisition request, that reads, from the summary request storage unit, a summary request included in the summary request acquisition request, and that provides the summary request thus read; a command execution unit that executes a command read from an application program; and a summary request execution unit that, in a case where the command is a summary request execution command, issues, to the summary request management unit, the summary request included in the summary request execution command, and executes the summary request acquired as a response to the request.

Abstract: Provided is a hot water supply system in which each of multiple hot water suppliers communicatively connected in series by a communication line includes a first communication unit for communicating with another adjacent hot water supplier on the downstream side via the communication line and a second communication unit for communicating with another adjacent hot water supplier on the upstream side. The controller of each hot water supplier executed a control processing to recognize, based on presence or absence of communication by the first communication unit and the second communication unit, its role as a leader positioned at the most upstream side of a series connection constituting a communication connection and operating to execute a supervisory control for cooperative control; a terminal follower positioned at the most downstream of the series connection constituting the communication connection; or a middle follower located between the leader and the end follower.

Abstract: An apparatus, system, and method is provided for predicting 3D shape deformation in additive manufacturing. A convolution learning framework for shape deviation modeling provides joint learning for a wide class of 3D shapes including both spherical and polyhedral shapes. A 3D cookie-cutter function can effectively capture the unique pattern of the shape deformation for polyhedral shapes. Since 3D freeform shapes can be approximated as a combination of spherical and polyhedral patches, the extended convolution learning framework builds a foundation for modeling and predicting the quality of 3D freeform shapes. By changing the kernel function and considering new distance measures for points from different shapes, the spatial correlations among different shapes can be correctly incorporated. The predicted deformation may be used to offset the machine instructions to an additive manufacturing machine to ameliorate deformation.