A load management system integrates comparator-based neutral sensing, machine learning prediction, and relay control into a single integrated AC board requiring no additional wiring. A highspeed comparator circuit detects grid failures in sub millisecond timeframes, providing clean data to a temporal convolutional network that predicts load requirements 24 hours in advance with integration of external data sources such as weather and time of use pricing. The system automatically manages 120V and 240V circuits during grid transitions, learning from user override patterns to continuously improve performance. A mobile application provides real-time monitoring and control. The integration of low-latency sensing with predictive machine learning enables performance improvements exceeding 40% in battery runtime compared to conventional systems, while reducing installation time and cost.

A load control system may include multiple control devices that may send load control messages to load control devices for controlling an amount of power provided electrical loads. To prevent collision of the load control messages, the load control messages may be transmitted using different wireless communication channels. Each wireless communication channel may be assigned to a load control group that may include control devices and load control devices capable of communicating with one another on the assigned channel. A control device may send load control messages to a load control device within a transmission frame allocated for transmitting load control messages. The transmission frame may include equal sub-frames and load control messages may be sent at a random time within each sub-frame. Control devices may detect a status event within a sampling interval to offset transmissions from multiple control devices based on detection of the same event.

A load control system may control an electrical load in a space of a building occupied by an occupant. The load control system may include a controller configured to determine the location of the occupant, and a load control device configured to automatically control the electrical load in response to the location of the occupant. The load control system may also include a mobile device adapted to be located on or immediately adjacent the occupant and configured to transmit and receive wireless signals. The load control device may be configured to automatically control the electrical load when the mobile device is located in the space. The load control system may further comprise an occupancy sensor and the load control device may automatically control the electrical load when the occupancy sensor indicates that the space is occupied and the mobile device is located in the space.