EOSdemand
Proactive Preparation
In many jurisdictions, when a large building fails to prepare for a Demand Management event it can result in hundreds of thousands of dollars in additional energy costs.
SHIFT’s EOSdemand uses industrial Machine Learning to anticipate and automatically prepare a building for a Demand Management event, proactively increasing heating or cooling ahead of time to ensure the building can “coast” through the Demand Management period, using minimal energy yet maintaining desired conditions.
EOSdemand takes the guesswork out of identifying a Demand Management event and takes the pressure off busy operators who might not be able to prepare the building adequately.
EOSdemand Delivers Results
- Uses industrial Machine Learning to accurately predict Demand Management events
- Automatically and proactively prepares buildings to use less energy
- Maintains desired heating or cooling conditions
- Works with existing control systems and HVAC equipment
- Integrates with EOScool and EOSair