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Presentations provided by DistribuTECH speakers are available to all full delegates and exhibitor delegates, however a username and password are required to access them. 
This year's username and password were handed out at the conference.  If you did not receive them please contact Debbi Wells at 
Utility University course handouts are only available to those who paid to attend a course. 
Credentials were provided by the instructors, however, if you paid to attend a course and did not receive the username and password please contact Debbi Wells at 

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Ottawa,  ON 
  • Booth: 4247

BluWave-ai uses artificial intelligence to accelerate the adoption and use of renewable energy by electrical utilities and enterprises. Provided through a SaaS model, our distributed AI platform optimizes multiple renewable and non-renewable energy sources in real-time to minimize cost and maximize availability and reliability. Winner of the Smart Grid category, 2019 World Energy Congress, Abu Dhabi.

Brands: Artificial intelligence, renewables, smart grid, energy management, distribution automation, microgrid, real-time, optimization, energy storage, distributed energy, grid modernization, DERMS, DER


  • BluWave-ai Energy Optimization Platform
    The platform components are BluWave-ai Edge and BluWave-ai Center. The Edge performs AI-based prediction and optimization. The Center connects to all Edge nodes, ingests the raw or synthesized data, learns from it and continuously enhances the AI models....

  • The BluWave-ai core product is an AI-enabled optimization and control platform which leverages a SaaS, cloud-based, two-tier architecture. The platform consumes data from the grid’s IoT devices (sensors, meters) and delivers real-time dispatch commands from its fast inference engine. It is predictive — performing analytics on incoming data, discovering patterns, and improving its performance as it operates. The platform achieves optimization levels well beyond conventional linear programming methods, with improvements up to 75% in some cases and enhances human operator accuracy by up to 200-300%.

    Our machine learning platform optimizes the cost, availability, and reliability of different energy sources, both renewable and non-renewable, in real-time. This lets our customers improve their energy decisions for sustainability, reliability, and affordability.

    BluWave-ai can improve the use of renewables with existing grid assets (solar PV, wind turbines, energy storage, etc.) in the range of 5-20%. The level of improvement depends on many variables including the renewable energy capacity compared to typical load and other sources of generation and variable load. For example, during the test phase at a metropolitan utility serving a city of 25M, the BluWave-ai platform improved load prediction to sub-1% error levels, which in operation translates to a huge savings in forecast inaccuracy penalties, overall cost savings, and reduced CO2 emissions.

    BluWave-ai’s AI and IoT platform accelerates the energy transition by reducing the operational and cost uncertainties associated with operating grids with high renewable and DERS penetration, thereby increasing the reliability and resiliency of a clean power supply. BluWave-ai's light footprint solution better utilizes existing data and renewable energy hardware, for a sustainable energy transition.

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For questions regarding the DISTRIBUTECH conference program please contact:  
Debbi Wells, CMP
Conference  Manager
Direct: 918-832-9265

For questions regarding the DISTRIBUTECH exhibit services please contact your Exhibit Services Manager at:
Direct: 253-212-2735

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