Elimination of Wasted Energy from Buildings via Machine Learning


Sustainability - Low Carbon Economy
Electronics - Power Management
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United Kingdom


Small power (plug load power), can account for up to 40% of a commercial buildings’ energy consumption and has no system to measure, control or automate its use. 25% to 50% of small power can be classed as wasted energy and greenhouse gas (GHG) emissions, from occupant devices (laptops, personal heaters etc.) left switched on or in standby for no reason.

This technology offer is designed to simply fit into existing infrastructure and management gap, automatically identifying small power wasted energy and controlling it, reducing total energy costs and GHG emissions by up to 50% and providing a < 3-year investment payback. Furthermore, having an infrastructure that constantly monitor itself not only adds precise and truly ‘smart’ power and carbon metering and reporting, it also adds a new level of safety to occupants by spotting potential issues with power infrastructure and devices.

To find wasted energy, purpose-designed power sockets record data very frequently and accurately. The data is used by proprietary Machine Learning (ML) algorithms designed to identify what is plugged-in, what context the device is in, and then classify it as wasted or not. The in-built ‘Impact Indicator’, a traffic light system for carbon or electricity use, provides a visual cue to an otherwise silent and invisible use of energy.

The advantages provided by this technology is simple; eliminate wasted energy by switching it off or use it for something useful like Demand Side Response (DSR).


  • The power socket. A like for like replacement for any standard power socket and comes in a bare unit, extension cable and desk mounted box. Fused-spurs are also available.
  • Machine Learning (ML). The ML operates inside the power socket and in the cloud to combine real-time data and determinations to detect and control wasted energy and emissions.
  • Demand Side Response (DSR). DSR can help balance an energy grid locally or nationally and increase the use of renewable generation and help keep the power on in times of high grid demand.
  • User registration and control. Each power socket is able to be registered to a user for bespoke and on-demand control of power.


Any location that uses power sockets can use this technology. However, the prime applications are commercial offices, large managed residential flats and retail units. Scale is key to the technology working, and full and large deployments are preferred.

Unique Value Proposition

This technology is designed to identify and eliminate wasted energy and emissions from buildings. It has the potential to reduce total energy costs and GHG emissions by up to 50%, provide a < 3-year payback, and boost occupant sustainability behaviour.

Further benefits include:

  • Fully monitored electrical infrastructure, able to flag and spot problems with devices before they cause a problem.
  • Automated energy and carbon reporting
  • Gamification of energy use withing a building
  • Control over what is plugged-in and when
  • An API that allows the system to integrate with any battery management system (BMS) or app
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