Devices, systems, and methods for operating a building management system using a lighting control interface are described herein. One device includes an occupancy sensing component, a lighting control interface configured to connect the occupancy sensing device to a lighting control channel of a building, and a building management system (BMS) interface configured to connect the occupancy sensing device to a BMS channel of the building.

A water management system effective for managing and metering water usage and detecting and reducing water leaks is described herein. The water management system can detect a leak when a volume of water flow or change in water pressure detected by a water meter of the system is uncharacteristic for a given day and time of day at the node. Upon detecting the leak, the system alerts the user, and in some situations, remotely shuts off a water supply to preemptively address a water leakage issue.

A water management system effective for managing and metering water usage and detecting and reducing water leaks is described herein. The water management system can detect a leak when a volume of water flow or change in water pressure detected by a water meter of the system is uncharacteristic for a given day and time of day at the node. Upon detecting the leak, the system alerts the user, and in some situations, remotely shuts off a water supply to preemptively address a water leakage issue.

A method for evaluating resonance stability of a flexible direct current (DC) transmission system in an offshore wind farm includes: establishing an s-domain equivalent circuit of a flexible DC transmission system in an offshore wind farm, constructing an s-domain node admittance matrix of the flexible DC transmission system in the offshore wind farm, determining a resonant mode of the system based on a zero root of a determinant of the node admittance matrix, and determining stability of the system. In the method, an s-domain impedance model is used to describe dynamic characteristics of a wind turbine, a flexible DC converter, and other power devices, avoiding coupling between device modeling and an operation mode of the system. In addition, the node admittance matrix is used for analysis so as to fully consider a plurality of power electronic devices and a grid structure of the offshore wind farm, realizing comprehensive analysis.

A method for evaluating resonance stability of a flexible direct current (DC) transmission system in an offshore wind farm includes: establishing an s-domain equivalent circuit of a flexible DC transmission system in an offshore wind farm, constructing an s-domain node admittance matrix of the flexible DC transmission system in the offshore wind farm, determining a resonant mode of the system based on a zero root of a determinant of the node admittance matrix, and determining stability of the system. In the method, an s-domain impedance model is used to describe dynamic characteristics of a wind turbine, a flexible DC converter, and other power devices, avoiding coupling between device modeling and an operation mode of the system. In addition, the node admittance matrix is used for analysis so as to fully consider a plurality of power electronic devices and a grid structure of the offshore wind farm, realizing comprehensive analysis.

Data received from an in-situ monitoring system includes, for each scan of a sensor, a plurality of measured signal values for a plurality of different locations on a layer. A thickness of a polishing pad is determined based on the data from the in-situ monitoring system. For each scan, a portion of the measured signal values are adjusted based on the thickness of the polishing pad. For each scan of the plurality of scans and each location of the plurality of different locations, a value is generated representing a thickness of the layer at the location. This includes processing the adjusted signal values using one or more processors configured by machine learning. A polishing endpoint is detected or a polishing parameter is modified based on the values representing the thicknesses at the plurality of different locations.

Data received from an in-situ monitoring system includes, for each scan of a sensor, a plurality of measured signal values for a plurality of different locations on a layer. A thickness of a polishing pad is determined based on the data from the in-situ monitoring system. For each scan, a portion of the measured signal values are adjusted based on the thickness of the polishing pad. For each scan of the plurality of scans and each location of the plurality of different locations, a value is generated representing a thickness of the layer at the location. This includes processing the adjusted signal values using one or more processors configured by machine learning. A polishing endpoint is detected or a polishing parameter is modified based on the values representing the thicknesses at the plurality of different locations.

Provided is a sensor package in a refrigerator configured to provide information related to refrigerated food. The sensor package may include a body having a mark classified by a type of food allocated to the sensor package and indicating the type of food of a food to which the sensor package is coupled, a battery, an operation switch, a memory configured to store food information corresponding to the type of food corresponding to the mark, a sensor communication module that communicates with a display provided in the refrigerator, a sensing module that senses state information associated with the food, and a sensor control module that controls the sensor communication module to initiate communication between the sensor package and the display of the refrigerator based on the state information sensed by the sensing module.

Provided is a sensor package in a refrigerator configured to provide information related to refrigerated food. The sensor package may include a body having a mark classified by a type of food allocated to the sensor package and indicating the type of food of a food to which the sensor package is coupled, a battery, an operation switch, a memory configured to store food information corresponding to the type of food corresponding to the mark, a sensor communication module that communicates with a display provided in the refrigerator, a sensing module that senses state information associated with the food, and a sensor control module that controls the sensor communication module to initiate communication between the sensor package and the display of the refrigerator based on the state information sensed by the sensing module.

Certain aspects of the present disclosure relate to virtualizing battery resources for grid service applications. In particular, some of these aspects provide a method for configuring a plurality of virtual energy storage devices in an energy storage device of a fixed energy storage system; and performing two or more grid services concurrently with two or more virtual energy storage devices of the plurality of virtual energy storage devices.