Reduce peak energy costs automatically with AI Agents
Detect, predict, and eliminate energy demand spikes across your buildings – without manual intervention.
The Peak Shaving AI Agent continuously monitors consumption, anticipates peak events, and adjusts building systems in real time to reduce demand charges and optimize energy usage.
Why peak shaving matters
In many commercial buildings, one hour is enough to define the monthly power demand charge.
During utility peak windows – often weekday mornings and late afternoons – even a single overshoot can set the month’s highest demand level and increase electricity costs for the rest of the billing period.
These peaks are often caused by overlapping demand from:
EV charging
heating during cold weather
ventilation responding to higher occupancy
plug loads and tenant activity
uncoordinated building systems acting at the same time
The challenge is not only to detect the peak. It is to respond quickly enough, with the right action, before the threshold is breached.
That is exactly what the Peak Shaving Agent is designed to do.
What is peak shaving in commercial buildings?
Peak shaving is the process of reducing electricity consumption during periods of highest demand to avoid expensive peak demand charges.
In commercial real estate, peak demand can account for a significant portion of total energy costs.
Traditionally, peak shaving is:
- manual
- reactive
- difficult to scale across portfolios
AI agents change that.
From detection to action
The Peak Shaving Agent follows a practical operational loop:
Sense
It continuously monitors building power demand, peak windows, flexible loads, weather conditions, and relevant operational context.
Reason
It determines whether the current trajectory risks setting a new monthly peak, identifies likely root causes, and calculates the impact of different load-shedding options.
Act
It executes approved actions, coordinates with other agents, or escalates to a human when the next step requires oversight.
Example: Avoiding a peak event before it happens
A peak is predicted at 9:00 AM.
Instead of reacting too late, the agent:
- pre-cools the building using off-peak energy
- shifts system loads gradually
- prevents the spike entirely
Result:
- lower demand charges
- no manual intervention
- no tenant impact
More than a dashboard
Traditional energy dashboards tell you what happened.
The Peak Shaving Agent helps prevent what is about to happen.
Instead of asking an operator to notice a rising trend, assess the cause, evaluate available flexibility, and manually execute controls under time pressure, the agent prepares and executes the response within approved limits.
Business outcomes
Stop reacting to energy spikes. Start preventing them.
See how AI agents reduce peak demand across your buildings.
