• 5
    1/3 Microgrid Optimization Platform
    4 months agoopen3
    A software platform designed to optimize energy flow and increase efficiency within microgrids. Microgrids are self-contained power networks that operate independently, often with distributed energy resources (DERs) like solar, wind, and energy storage. One could use ML to: 1. Predict energy demand and renewable generation: Integrating forecasts for weather, consumption patterns, and building data. 2. Optimize DER coordination: Create energy schedules for batteries, solar, controllable loads, and grid interactions to reduce costs and peak demand. 3. Adapt to real-time conditions: The AI reacts to unforeseen disruptions and grid constraints. 4. Enable peer-to-peer (P2P) energy trading: Provide users flexibility and create secondary markets for locally produced energy. This caters to a growing European market driven by rising energy prices, policy support for localized energy, and a desire for resilience. The platform targets energy cooperatives, housing communities, industrial campuses, and commercial developers seeking autonomous energy management.
  • 4
    Real-time electricity flow monitoring
    4 months agoopen1
    In the UK there are 400k sites in need of monitoring. Current hardware solution costs £7.5k per sites. This will cost the industry £3B. Our software solution can offer a parallel outcome without the need for hardware implantation. This is our initial product and go to market strategy. In the UK, 6 electricity companies have a revenue of £5.6B. Almost £3B pa is reinvested for their network reinforcement. By leveraging the combination of network modelling and machine learning, our software can address the inefficiencies in the reinforcement processes, 25% increase in the efficiency of this process will cost the customers £800m pa.