Honeywell launches ML solution to reduce buildings' energy consumption

Honeywell, a specialist in control technologies for buildings, has today launched its new cloud-based machine learning (ML) solution focused on reducing buildings' energy consumption. Honeywell says the Forge Energy Optimisation solution studies a building's energy consumption patterns and automatically adjusts to optimal energy saving settings without compromising occupant comfort levels. "Buildings aren't static steel and concrete – they're dynamic ecosystems and their energy needs fluctuate based on ever-changing variables like weather and occupancy," says Honeywell Connected Buildings vice president and general manager David Trice. "By employing the latest self-learning algorithms coupled with autonomous control, we can help drive efficiencies and create more sustainable practices." The Forge Energy Optimisation solution autonomously optimises a building's internal set points every 15 minutes to evaluate whether a building's heating, ventilation and air conditioning (HVAC) system is running at peak efficiency, according to Honeywell.