In some embodiments, the system is directed to an autonomous inspection system for electrical grid components. In some embodiments, the system collects electrical grid component data using an autonomous drone and then transmits the inspection data to one or more computers. In some embodiments, the system includes artificial intelligence that analysis the data and identifies electrical grid components defects and provides a model highlighting the defects to a user. In some embodiments, the system enables a user to train the artificial intelligence by providing feedback for models where defects or components are not properly identified.

Aspects described herein include a method of generating a control schedule for a wind turbine. The control schedule specifies a maximum power level that varies over time. The method comprises determining a value indicative of a current remaining fatigue lifetime of the wind turbine or of one or more components. The method further comprises applying an optimization function to perform an optimization to determine an optimized control schedule. The optimization comprises varying a plurality of parameters of an initial control schedule to produce a varied control schedule, estimating a future fatigue lifetime to be consumed by the wind turbine or the one or more components over the duration of the varied control schedule, and constraining the optimization according to one or more input constraints.

Aspects described herein include a method of generating a control schedule for a wind turbine. The control schedule specifies a maximum power level that varies over time. The method comprises determining a value indicative of a current remaining fatigue lifetime of the wind turbine or of one or more components. The method further comprises applying an optimization function to perform an optimization to determine an optimized control schedule. The optimization comprises varying a plurality of parameters of an initial control schedule to produce a varied control schedule, estimating a future fatigue lifetime to be consumed by the wind turbine or the one or more components over the duration of the varied control schedule, and constraining the optimization according to one or more input constraints.

Provided is a method of damping mechanical oscillations of plural wind turbines of a wind park commonly supplying electric energy to a grid, the method including: determining, for each of the plural wind turbines, a damping control signal for counteracting an oscillation of the respective wind turbine; supplying at least a subset of or a subset of modified versions of the damping control signals to respective wind turbines such that a sum of the supplied damping control signals is lower than a threshold.

Provided is a method of damping mechanical oscillations of plural wind turbines of a wind park commonly supplying electric energy to a grid, the method including: determining, for each of the plural wind turbines, a damping control signal for counteracting an oscillation of the respective wind turbine; supplying at least a subset of or a subset of modified versions of the damping control signals to respective wind turbines such that a sum of the supplied damping control signals is lower than a threshold.

A controller performs a control operation associated with a control target. The controller includes a communication interface that electrically connects at least one function unit to the controller through a data transmission path, a writing unit that writes an observation value obtained through the function unit into a database, and a delay obtaining unit that obtains a delay time taken from when a signal indicating an observation value is input into the function unit to when data representing the observation value becomes usable in the controller, and stores information indicating the obtained delay time.

A controller performs a control operation associated with a control target. The controller includes a communication interface that electrically connects at least one function unit to the controller through a data transmission path, a writing unit that writes an observation value obtained through the function unit into a database, and a delay obtaining unit that obtains a delay time taken from when a signal indicating an observation value is input into the function unit to when data representing the observation value becomes usable in the controller, and stores information indicating the obtained delay time.

An architecture is presented for one or more climate systems controlled by one or more thermostat devices located in one or more dwellings associated with one or more users. Depending on the combination of the above factors, ecorank information is determined and presented. In some cases, the thermostats operate independently and settings are not propagated. In other cases, the thermostats operate dependently and settings are mirrored. One thermostat may be used to control another. Setting changes in at one thermostat may be presented at another thermostat. In some cases, the setting changes may require confirmation. In some instances, a hub device may be used to interconnect a thermostat device and server device.

An architecture is presented for one or more climate systems controlled by one or more thermostat devices located in one or more dwellings associated with one or more users. Depending on the combination of the above factors, ecorank information is determined and presented. In some cases, the thermostats operate independently and settings are not propagated. In other cases, the thermostats operate dependently and settings are mirrored. One thermostat may be used to control another. Setting changes in at one thermostat may be presented at another thermostat. In some cases, the setting changes may require confirmation. In some instances, a hub device may be used to interconnect a thermostat device and server device.

A foot presence sensor system for an active article of footwear can include a sensor housing configured to be disposed at or in an insole of the article, and a controller circuit, disposed within the sensor housing, configured to trigger one or more automated functions of the footwear based on a foot presence indication. In an example, the sensor system includes a capacitive or magnetic sensor configured to sense changes in a body's proximity to the sensor in footwear. Characteristics of the sensed proximity can be used to update an automated footwear function, such as an automatic lacing function, or can be used to determine a step count, foot strike force, a rate of travel, or other information about a foot or about the footwear.