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Artificial intelligence for energy

Canada’s energy sector is harnessing the power of new technologies that enable it to leverage the most of opportunities presented by big data and smart energy systems. The development of energy infrastructure with integrated digital intelligence is transforming the way energy is generated, distributed and stored. NRCan’s digital solutions will help drive clean, sustainable growth to enhance energy sector competitiveness, allowing for better prediction of energy usage and technology development.

Project title Timeline Project description Contacts Sector
Accelerated materials discovery using artificial intelligence, robotics and high performance computing 2019-2024
  • Accelerate the development of new materials for clean energy technology on self-driving laboratories using AI, robotics and high performance computing
  • Apply ML algorithms for decision making to recommend conditions for future experiments and random search

Mark Kozdras

  • Energy Technology
Open digital platform for forest value chain optimization 2019-2023
  • identify new opportunities for increased competitiveness
  • locate the best clean growth investments
  • support equity and diversity in science
  • develop and improve the workforce

Mouloud Amazouz

Daniel Mazerolle

Eric Soucy

  • Energy Technology
  • Canadian Forest Service (CFS)
Intelligent decision support for industrial systems performance optimization 2016-2020
  • extract knowledge and identify patterns from industrial performance data
  • enhance operations across several industries
Mouloud Amazouz
  • Energy Technology
Petroinformatics: a digital platform for optimizing oil refining 2019-Ongoing
  • create more efficient and cost-effective processes for oil refining operations
  • create digital platform to support decision-making for assessing oil refineries
Rafal Gieleciak
  • Strategic Petroleum Policy and Investment Office (CanmetENERGY Devon)
ENERGY STAR brand integrity April 2018 (8 weeks experiment)
  • identify misuses of the ENERGY STAR brand on websites and social media
  • help to strengthen processes and refine policy to support consumers in decision making

Matt Naccarato

Erin Sullivan

  • Low Carbon Energy (Office of Energy Efficiency – OEE)
Optimizing electric grids and charging infrastructure for mass electric vehicles penetration 2020
  • apply big data analytics and AI techniques to better understand and characterize EV infrastructure requirements
  • help electricity companies better manage electrical grids
Evgueniy Entchev
  • Energy Technology
Synthetic remote community energy load using machine learning techniques Sept. 2020 – March 2021
  • better understand the load profiles of Canada's remote communities to enable the off-diesel transition
  • develop machine learning application to output synthetic electrical load profiles
Ryan Kilpatrick Energy Technology

View all our artificial intelligence projects

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