Artificial Intelligence, Machine Learning and Blockchain in the Energy Industry Forum

Leveraging emerging enabling technologies for the next-gen digital energy network

, Online Event , Your Computer

According to a recent report by BIS Research, artificial intelligence (AI) in the energy market is expected to reach $7.78 billion by 2024, witnessing a CAGR of 22.49% from 2019 to 2024. This growth is anticipated to be driven by the demand for increasing operational efficiency, rising concern for energy efficiency, growing market penetration of decentralized power generation, and rising concern for battery storage systems.

The Artificial Intelligence, Machine Learning and Blockchain in the Energy Industry Forum on April 21, 2021 examines key advances in the AI space as they pertain to energy systems, smart grids and distributed energy resources. Emerging developments, deployments and case studies will be examined with the goal of identifying winning strategies for energy providers looking to leverage this promising technology. The event will bring together top industry experts from around the world to help attendees understand the potential and challenges of AI in the 21st century energy network.

Topics to be Addressed Include:

  • AI-fueled smart meters and smart home solutions
  • Trials and deployments to date - lessons learned
  • AI-driven energy efficiencies in the distribution network
  • AI and energy storage facilitation
  • Blockchain advances in the smart grid
  • Utilizing autonomous robots for optimizing grid performance
  • Machine learning to improve predicative capabilities
  • AI and the integration of intermittent renewable resources
  • Optimizing smart grids via AI and machine learning
  • Predicting power fluctuations and cost optimization
  • Enhancing grid security
  • Intelligent networking of electricity consumers and generators across sector boundaries
  • AI applications in demand response, EV charging and V2G scenarios
  • Grid stabilization and ancillary services leveraging AI
  • Failure management: optimizing network maintenance and detecting failures
  • AI in forecasts and monitoring for electricity trading
  • Addressing data protection and data security concerns
  • Making the use of AI transparent and understandable to energy consumers
  • Challenges facing AI in the energy industry
  • Implementing AI-powered software in legacy energy systems

100% Online, 100% Interactive

Due to the ongoing coronavirus situation, the Forum will be held virtually in order to maximize the safety of all participants. Powered by Zoom the virtual platform allows for live interaction between speakers and fellow attendees via audio, video, chat and PowerPoint presentation. Attendees have the opportunity to view attendee profiles, set up one-to-one video meetings, and network during ample break periods between sessions.

Recordings and PDFs of all presentations will be available post-confernece for on-demand viewing by registered participants.

Who Should Attend:

  • Large wholesale renewable energy generators -- wind and solar
  • Energy professionals at municipal, investor-owned, and rural utilities
  • Regional transmission system operators
  • Curtailment service providers
  • Building energy management companies
  • DR aggregators
  • Energy storage companies
  • IT and software providers
  • Smart grid technology providers and network operators
  • Financial and venture capital professionals
  • Consultants and system integrators
  • Researchers, analysts, and university professionals

9.00 am - 4.00 pm Central

Topics to be Covered

  • AI-fueled smart meters and smart home solutions
  • Trials and deployments to date - lessons learned
  • AI-driven energy efficiencies in the distribution network
  • AI and energy storage facilitation
  • Blockchain advances in the smart grid
  • AI & blockchain for transactive energy
  • Utilizing autonomous robots for optimizing grid performance
  • Machine learning to improve predicative capabilities
  • AI and the integration of intermittent renewable resources
  • Optimizing smart grids via AI and machine learning
  • Predicting power fluctuations and cost optimization
  • Enhancing grid security
  • AI and maching learning for grid optimization and DERMS
  • Intelligent networking of electricity consumers and generators across sector boundaries
  • AI applications in demand response, VPP, EV charging and V2G scenarios
  • Grid stabilization and ancillary services leveraging AI
  • Failure management: optimizing network maintenance and detecting failures
  • AI in forecasts and monitoring for electricity trading
  • Addressing data protection and data security concerns
  • Making the use of AI transparent and understandable to energy consumers
  • Challenges facing AI in the energy industry
  • Implementing AI-powered software in legacy energy systems
Note: Subject to change

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Venue

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Event details
Organizer : SGO
Event type : Conference
Reference : ASDE-22617