Building Energy Consumption Forecasting

Building Energy Consumption Forecasting uses AI to forecast energy consumption per building, floor, or system for the next hours to days, enabling proactive demand response and reduced energy cost, by combining building sensor data, occupancy schedules, weather forecasts, and historical consumption patterns, across facilities operations and energy management workflows.

Facilities teams manage energy costs reactively, responding to high consumption events after they occur. Without building-level consumption forecasts, operations cannot pre-position HVAC settings, participate in demand-response programmes, or identify buildings with structural energy inefficiencies before the monthly bill arrives.

The AI ingests building management system sensor data, occupancy schedules, and weather forecast inputs and produces hourly energy consumption forecasts per building. Forecast outputs feed automatic HVAC pre-conditioning, demand-response event participation, and deviation alerts for facilities managers.

Building energy cost per square metre decreases; demand-response revenue or cost avoidance increases.

• •Building management system sensor data (HVAC, lighting, power meters) is available at sub-hour granularity.
• •Occupancy schedule data is integrated with the building management system.
• •External weather forecast API is connected to the forecasting pipeline.