A load control device may control power delivered from a power source, such as an alternating-current (AC) power source, to at least two electrical loads, such as a lighting load and a motor load. The load control device may include multiple load control circuit, such as a dimmer circuit and a motor drive circuit, for controlling the power delivered to the lighting load and the motor load, respectively. The load control device may adjust the rotational speed of the motor load in a manner so as to minimize acoustic noise generated by the load control device and reduce the amount of time required to adjust the rotational speed of the motor load. The load control device may remain powered when one of the electrical loads (e.g., the lighting load) has been removed (e.g., electrically disconnected or uninstalled) and/or has failed in an open state (has “burnt out” or “blown out”).

A modular electrical accessory for a building has a housing for attaching to a building structure and an electrical backplane mounted in the housing. The electrical backplane is configured to be electrically wired to an electrical circuit associated with the building. A user-replaceable electrical accessory module is removably connectable by a user to an electrical bus and a control bus of the modular electrical accessory. The electrical bus enables transfer of electrical power between a connected user-replaceable electrical accessory module and the electrical backplane, while the control bus enables control signals to be communicated between a connected user-replaceable electrical accessory module and the electrical backplane for controlling delivery of electrical power to an electrical device based on the control signals

A machine learning model for classifying different lighting loads based on properties of electrical current through the loads is built. The model is applied to electrical data gathered based on powering a target lighting load in order to classify the load. Based on load classification, operating parameter(s) to control operation of a dimmer to control power to the load are selected and the dimmer is configured with the selected parameter(s) to achieve desired dimmer operation in dimming the load.

A machine learning model for classifying different lighting loads based on properties of electrical current through the loads is built. The model is applied to electrical data gathered based on powering a target lighting load in order to classify the load. Based on load classification, operating parameter(s) to control operation of a dimmer to control power to the load are selected and the dimmer is configured with the selected parameter(s) to achieve desired dimmer operation in dimming the load.

Aspects of the invention relate generally to lighting devices and, more particularly, to a method and system for changing a function of a lighting device. In one embodiment, the invention provides a system comprising: at least one lighting device; an audio source; a controller for synchronizing an audio signal from the audio source with a lighting signal delivered to the at least one lighting device; and a transmitter for transmitting the audio signal from the audio source to at least one external receiver.

Aspects of the invention relate generally to lighting devices and, more particularly, to a method and system for changing a function of a lighting device. In one embodiment, the invention provides a system comprising: at least one lighting device; an audio source; a controller for synchronizing an audio signal from the audio source with a lighting signal delivered to the at least one lighting device; and a transmitter for transmitting the audio signal from the audio source to at least one external receiver.

A method may comprise: commanding, by a processor, a lighting system to generate a first desired effect in accordance with a first spectral weighting mode; determining, by the processor, a first optimized predetermined variable within a first predetermined domain to generate the desired effect based on the first spectral weighting mode; commanding, by the processor, the lighting system to transition from the first desired effect to a second desired effect, the second desired effect in accordance with a second spectral weighting mode; and determining by the processor, a second optimized predetermined variable within a second predetermined domain to generate the second desired effect based on the second spectral weighting mode, the first optimized predetermined variable being different from the second optimized predetermined variable.

A system including an electronic processor, a transceiver communicatively coupled to the electronic processor, a display communicatively coupled to the electronic processor and a non-transient memory medium communicatively coupled to the electronic processor. The electronic processor is configured to generate a graphical representation based on at least one configuration file, the graphical representation including a button, present the graphical representation on the display, receive, via the display, a user input indicative of selecting the button, and transmit, via the transceiver, a lighting system control command based selection of the button.

A load control system may comprise load control devices for controlling respective electrical loads, and a system controller operable to transmit digital messages including different commands to the load control devices in response to a selection of a preset. The different commands may include a preset command configured to identify preset data in a device database stored at the load control device and/or a multi-output command configured to define the preset data for being stored in the device database. The system controller may decide which of the commands to transmit to the load control devices in response to the selection of the preset.

A load control system may comprise load control devices for controlling respective electrical loads, and a system controller operable to transmit digital messages including different commands to the load control devices in response to a selection of a preset. The different commands may include a preset command configured to identify preset data in a device database stored at the load control device and/or a multi-output command configured to define the preset data for being stored in the device database. The system controller may decide which of the commands to transmit to the load control devices in response to the selection of the preset.