Building control system with intelligent load shedding

One or more non-transitory computer-readable media storing program instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• determining a probability that load shedding will be needed during a future time period to achieve a target energy consumption during the future time period;
• in response to the probability exceeding a threshold, generating a plurality of scores for a plurality of units of equipment using one or more machine learning models trained on historical data from a historical time period, the plurality of scores indicating relative load shedding priorities associated with the plurality of units of the equipment during the future time period;
• and
• implementing the load shedding by controlling the plurality of units of equipment during the future time period in accordance with the plurality of scores, wherein controlling the plurality of units of equipment comprises shedding a first unit of the plurality of units, the first unit associated with an extremum score of the plurality of scores.

A system, comprising:

• a plurality of units of building equipment serving a facility;
• a controller programmed to:
• determine a probability that load shedding will be needed to achieve a target energy consumption for the facility;
• in response to the probability exceeding a threshold, generate a plurality of scores for the plurality of units of equipment indicating relative advantages of load shedding priorities associated with the plurality of units of the equipment;
• and
• implementing the load shedding by shedding a first unit of the plurality of units in response to the first unit being associated with a maximum score of the plurality of scores.