Optimizing energy efficiency associated with workspaces in a building

A method comprising:

• executing, by one or more processors, a trained machine-learning model to generate a predicted activity pattern associated with a target workspace in a building, the predicted activity pattern being a forecast of workspace activity associated with the target workspace over a future time window, wherein the trained machine-learning model is a machine-learning model that was previously trained based on historical data indicating prior workspace activity associated with the target workspace over a prior time window;
• based on the predicted activity pattern, generating, by the one or more processors, at least one control signal for at least one control system associated with the target workspace;
• and
• transmitting, by the one or more processors, the at least one control signal to the at least one control system, the at least one control system being configured to receive the at least one control signal and responsively adjust at least one environmental condition associated with the target workspace from a first setting to a second setting.

A system comprising:

• one or more processors;
• and
• one or more memories including instructions that are executable by the one or more processors to cause the one or more processors to:
• execute a trained machine-learning model to generate a predicted activity pattern associated with a target workspace in a building, the predicted activity pattern being a forecast of workspace activity associated with the target workspace over a future time window, wherein the trained machine-learning model is a machine-learning model that was previously trained based on historical data indicating prior workspace activity associated with the target workspace over a prior time window;
• based on the predicted activity pattern, generate at least one control signal for at least one control system associated with the target workspace;
• and
• transmit the at least one control signal to the at least one control system, the at least one control system being configured to receive the at least one control signal and responsively adjust at least one environmental condition associated with the target workspace from a first setting to a second setting.