Abstract: An integrated renewable energy source (RES) and energy storage system (ESS) facility configured to supply power to an AC electrical grid includes energy storage system capacity and inverter capacity that are larger than a point of grid interconnect (POGI) limit for the facility, enabling high capacity factors and production profiles that match a desired load. At least one first DC-AC power inverter is associated with RES, and at least one second AC-DC power inverter is associated with the ESS. AC-DC conversion is used when charging the ESS with RES AC electric power, and DC-AC conversion utility is used when discharging ESS AC electric power to the electric grid. Aggregate DC-AC inverter utility exceeds the facility POGI limit, and excess RES AC electric power may be diverted to the second inverter(s).

Abstract: An industrial integrated development environment (IDE) supports a virtual design environment that allows an automation system designer to perform project development via interaction with a virtual reality presentation of the plant facility. The industrial design environment can generate system project data for an automation project—including but not limited to device selections, industrial control programming, device configurations, visualizations, engineering drawings, etc. —based on the developer's manual interactions with the virtual reality presentation. These interactions can include, for example, placing and moving machines or other industrial assets within the virtualized environment, defining trajectories of motion devices or robots using manual gestures, or other such interactive input.

Abstract: A computer system provides online state estimation (SE) and topology identification (TI) using advanced metering infrastructure (AMI) measurements in a distribution network. The computer system obtains input data including the AMI measurements, a network configuration, and line parameters; solves an SE and TI problem formulated from the input data and power equations of the distribution network; and periodically updates states and topology of the distribution network during power system operation. To solve the SE and TI problem, the computer system constructs a mixed-integer convex approximation programming (MICP) model to obtain an initial topology; generates neighboring spanning trees according to the MICP model and the initial topology; evaluates performance of each neighboring spanning tree with a matching index that is an indication of power flow performance; and chooses a tree topology of a neighboring spanning tree having a minimum matching index as a final network topology of the distribution network.

Abstract: Devices, systems and methods for tracking and upgrading firmware in intelligent electronic devices (IEDs) are provided. The devices, systems and methods provide for tracking firmware versions of at least one or a fleet of IEDs, e.g., electronic power or revenue meters, notifying a user that an update to an existing firmware is available and providing the ability to automatically upload the current or latest version of the firmware to all IEDs.

Abstract: The present invention discloses a method and an apparatus for controlling an air conditioner, and a computer storage medium, and relates to the technical field of intelligent household appliances. The method includes acquiring a current physical characteristic parameter of an air conditioner user in a current sampling timeframe; and adjusting either or both of a current set temperature and a current compressor frequency of the air conditioner according to the current physical characteristic parameter and current energy consumption of the air conditioner when the current physical characteristic parameter falls within a set range of parameters in sleep. Therefore, energy conservation and a comfortable user experience are compatible, thereby providing more functions for the control of the air conditioner in the sleep mode.

Abstract: An electronic device and an operating method therefor, according to various embodiments, can be configured to: determine whether heating of the electronic device is abnormal heating, on the basis of a difference value between a first temperature at a first position in the electronic device and a second temperature at a second position in the electronic device; determine whether a user recognizes abnormal heating, on the basis of the assumption that the heating of the electronic device is determined to be abnormal heating; and control the abnormal heating on the basis of determination result of whether the user has recognized abnormal heating.

Abstract: The invention relates to an apparatus and a method for controlling a ventilator by means of a detection unit for control commands, wherein the detection unit detects control commands of a user in a detection region of the detection unit, the detection unit comprising at least one sensor for control commands, a memory, an apparatus for producing digital control commands and an interface for coupling to the ventilator and for transmitting the control commands to the ventilator.

Abstract: A portable electronic device includes a signal control module, an information display module, a temperature and humidity sensing module, and a gas detection module. The information display module is configured for providing a plurality of information display images. The gas detection module is configured for detecting a gas concentration of a predetermined gas to obtain a gas concentration value. One of the information display images has a temperature and humidity coordinate graph, and a plurality of comfortability distribution areas shown on the temperature and humidity coordinate graph, an ambient temperature value and an ambient humidity value that are obtained by the temperature and humidity sensing module serve as a temperature and humidity indicator shown on one of the comfortability distribution areas, and the gas concentration value that is obtained by the gas detection module serves as a comfortability indicator shown on one of the comfortability distribution areas.

Abstract: A method of trading electrical energy is provided. The method comprises a smart agent receiving state data affecting electricity usage within an electrical power grid over a specified time period and forecasting, with a supply/demand model, supply and demand for electricity within the power grid according to the state data. The smart agent uses a reinforced learning neural network to calculate a price for electricity according the state data and forecasted supply and demand. The smart agent submits an order to a matching engine to buy or sell electricity on the power grid at the calculated price according to specified market rules. The smart engine receives an acknowledgment from the matching engine if the order is matched to another agent on the power grid or a rejection from the matching engine if the order is not matched to another agent.

Abstract: Systems and methods for verifying the quality of patient specific implants are disclosed. A system can generate implant data, such as design files or fabrication instructions, for manufacturing the implant. The system can manage access to the implant data based on authentication levels. Based on the determined authentication level of the user requesting access to the implant data, the system can permit the user to access some or all of the implant data. The system can perform a quality check on a manufactured implant by scanning the manufactured implant to identify any errors in the manufactured implant.

Abstract: A method is applied in a controller within a driving circuit comprising a driving sub-circuit configured to drive a load. The method comprises steps of: performing a table learning operation on a table at least at a first rate during a learning period; and performing the table learning operation on the table at a second rate lower than the first rate after the learning period; wherein the table is stored in a memory within the controller. The table learning operation comprises steps of: receiving a first feedback signal from the load corresponding to a first cycle; obtaining a control code from the table according to the first feedback signal; generating a control signal according to the control code; receiving a second feedback signal from the load corresponding to the second cycle; and updating the control code and saving the updated control code back to the table in the memory.

Abstract: A method, a computer system, and a computer program product for restoration time predictions and optimized recovery solutions is provided. Embodiments of the present invention may include selecting a dataset based on time series data. Embodiments of the present invention may include building one or more models, wherein the one or more models include a classification and regression tree model, a cross validated decision tree model or a bootstrap aggregating model. Embodiments of the present invention may include selecting a model for predictions using decision trees to reduce a variance of the model. Embodiments of the present invention may include rebuilding the model based on additional data attributes. Embodiments of the present invention may include determining an outage prioritization for each outage node. Embodiments of the present invention may include transmitting results of the outage prioritization.

Abstract: A solar power generation control device, controlling a solar power generation system configured to charge a power storage device of a vehicle with electric power generated by a solar cell provided in the vehicle, includes: an acquisition unit that acquires environmental information on weather or a planimetric feature around the vehicle; a prediction unit that predicts a change in solar radiation state of the vehicle based on the environmental information acquired by the acquisition unit and a moving state of the vehicle; and a control unit that controls an operation mode of the solar power generation system, including a first mode, in which the power storage device is charged with electric power generated by the solar cell, and a second mode, in which power consumption of the solar power generation system is lower than in the first mode, based on a prediction result of the prediction unit.

Abstract: Methods and systems of monitoring and managing a facility including a plurality of end point devices. One system includes a first gateway device. The first gateway device includes a first electronic processor configured to receive fixture data from at least one electro-mechanical element of a fixture associated with the facility, the fixture data related to an operation of the fixture, and enable transmission of the fixture data to a remote device for virtual processing. The system also includes a second gateway device communicatively coupled with the first gateway device. The second gateway device includes a second electronic processor configured to receive, from the first gateway device, the processed fixture data. The second electronic processor configured to convert the processed fixture data pursuant to a networking protocol associated with a building management system and transmit the converted fixture data for display via a visual dashboard associated with the building management system.

Abstract: A fixture that includes an electro-mechanical (EM) element; a communication interface; a processor; and a computer-readable storage media coupled to the processor and having instructions stored thereon which, when executed by the processor, cause the processor to perform operations comprising: receiving, from a service via the communication interface, parameters for scheduling an operation of the fixture; determining, based on the parameters, a plurality of commands for the EM element and a respective time to execute each of the commands; providing, at the respective time, each of the commands to the respective EM element for execution; providing, via the communication interface, an indication of completion of the operation of the fixture to the service.

Abstract: The present disclosure provides a preset management method of a gas pipeline network for a smart gas, which is performed by a smart gas management platform. The smart gas management platform comprises a smart user service management sub-platform, a smart operation management sub-platform and a smart gas data center. The method comprises: obtaining, by the smart gas data center, a region feature of each region within a target range through a smart gas sensing network platform; determining, by the smart operation management sub-platform, a gas demand degree of the each region based on the region feature of the each region; determining, by the smart operation management sub-platform, a region as a first-class region based on the gas demand degree in the region meeting a preset condition, and determining a gas pipeline network opening scheme for the region.

Abstract: Systems, methods, and computer-readable media are provided for determining treatments to apply to plants within control volumes having controlled agricultural environments. Each treatment comprises application of a set of setpoints, choosing a reproduction operation for the treatment, and selecting one or more previous sets from setpoints from one or more previously applied treatments, for use with the chosen reproduction operation.

Abstract: Systems and methods for improving load energy forecasting in the presence of distributed energy resources in which a revised load forecast is calculated based on forecasted meteorological conditions data, forecasted wind and solar energy, forecasted load data, time data and time-series variables determined based on an analysis of the historical data. In exemplary embodiments, the revised load forecast is provided to energy management computer systems to enable appropriate levels of generation of conventional and renewable energy generation within the electric power grid.

Abstract: A facility providing systems and methods for managing and optimizing thermal comfort is provided. The facility is a software algorithm that intelligently detects the thermal comfort preferences of residential smart thermostat users, where a user's “comfort preference” is defined to refer to an estimate of a measurement of the user's comfort across varying values of some set of exogenous factors, including but not limited to indoor temperature, the time of day, the day of the week, and weather conditions. This facility encompasses the use of this “comfort preference” for the creation of an optimal schedule of setpoints for a residential thermostat which is configured to optimize some objective, including potentially user comfort, energy efficiency, load shift, or cost.

Abstract: A system and process for predicting the failure of a machine begins with the step of loading a slope signature library into the control system, in which the slope signature library correlates time-to-failure based on rates of change of one or more measured conditions. The process includes the steps of activating the machine, determining baseline measurements, and detecting an out-of-spec measurement. Once an out-of-spec measurement is made, the process includes the determination of the rate of change for the out-of-spec measurement. A slope signature is calculated based on the rate of change for the measured condition, which is compared against the slope signature library to determine a predicted time-to-failure based on the calculated slope signature, and outputting the predicted time-to-failure. The process can be used to modify the operation of the machine to extend the predicted time-to-failure.