Systems and methods for environmental control

A control system for an environment comprising:

• one or more sensors;
• one or more controllers;
• one or more processors;
• memory in communication with the one or more processors and storing instructions that are configured to cause the system to:
• receive input data from the one or more sensors;
• populate a digital twin of the environment based at least in part on the input data from the one or more sensors, the digital twin comprising one or more zones;
• continuously output, to the one or more controllers, environmental control instructions, wherein the environmental control instructions control an operation of one or more environmental control devices;
• predict, using a first machine learning model, a duration required to change an observed environmental condition to a target environmental condition of the one or more zones based on the input data using the one or more environmental control devices;
• predict, using a second machine learning model, one or more occupancy intervals of one or more occupants of the environment based on the input data;
• calculate, using the digital twin, an estimated power consumption at the target environmental condition in the one or more zones based on the duration, the one or more occupancy intervals, and the input data;
• generate a comparison by comparing the estimated power consumption in the one or more zones to an actual power consumption observed in the one or more zones;
• generate, using the digital twin, one or more optimization instructions for one or more of the environmental control devices to optimize energy use based on the comparison and the input data;
• generate a first graphical user interface displaying the one or more optimization instructions;
• transmit the first graphical user interface to a user device;
• receive, from the user device, a selection of the one or more optimization instructions;
• output the selected optimization instructions to optimize energy use to the one or more controllers;
• estimate, using a third machine learning model, a first environment optimization parameter based on the selected optimization instructions and the input data;
• generate a second graphical user interface displaying the first environment optimization parameter;
• and
• transmit the second graphical user interface to the user device.

A control system for an environment comprising:

• one or more sensors;
• one or more processors;
• memory in communication with the one or more processors and storing instructions that are configured to cause the system to:
• receive input data from the one or more sensors;
• populate a digital twin of the environment based at least in part on the input data from the one or more sensors, the digital twin comprising one or more zones;
• predict, using a first machine learning model, a duration required to change an observed environmental condition to a target environmental condition of the one or more zones based on the input data using one or more environmental control devices;
• predict, using a second machine learning model, one or more occupancy intervals of one or more occupants of the environment based on the input data;
• calculate, using the digital twin, an estimated power consumption at the target environmental condition in the one or more zones based on the duration, the one or more occupancy intervals, and the input data;
• generate a comparison by comparing the estimated power consumption in the one or more zones to an actual power consumption observed in the one or more zones;
• generate, using the digital twin, one or more optimization instructions for the one or more environmental control devices to optimize energy use based on the comparison and the input data;
• automatically output the one or more optimization instructions to optimize energy use for the one or more zones;
• estimate, using a third machine learning model, an environment optimization parameter for the one or more zones based on the one or more optimization instructions and the input data;
• and
• generate a graphical user interface displaying a graphical representation of the environment and the environment optimization parameter for the one or more zones.