Call for Tutorial Proposals

Theme: AI-Empowered Low-Carbon Energy Transition

The IEEE Power & Energy Society (PES) invites experts from academia, industry, utilities, system operators, technology providers, and government agencies to submit tutorial proposals for presentation at the 2027 IEEE PES International Meeting. The meeting will be  in  Beijing, China, on 10-13 January 2027.

Under the theme AI-Empowered Low-Carbon Energy Transition, tutorials will provide attendees with structured, in-depth learning opportunities on emerging theories, methodologies, tools, standards, and engineering practices that support the planning, operation, control, markets, and governance of modern power and energy systems.

Tutorials should synthesize a body of knowledge rather than report a single research result. Proposals are expected to be educational, technically rigorous, broadly accessible, and relevant to current challenges and opportunities in low-carbon power and energy systems, AI-enabled technologies, or their intersection.

Important Dates and Submission

Proposal submission deadline1 November 2026
Notification of acceptanceTo be announced
Final tutorial slides dueTo be announced
Conference dates10-13 January 2027
Submission email[email protected]

Note: Dates and contact names should be confirmed by the conference organizing committee before public release.

Tutorial Format and Requirements

  • Duration: Each tutorial is scheduled for 2 hours.
  • Format: Tutorials may include lectures, methodological overviews, case studies, software demonstrations, hands-on examples, or panel-style interaction, provided that the session remains educational and technically substantive.
  • Technical approval: All accepted tutorials are subject to approval by the relevant 2027 IEEE PES International Meeting Organizing Committee and Technical Program and Publications Committee.
  • Scope: Tutorials should address generalizable knowledge, tools, or methodologies. Highly specific presentations that primarily promote a single product, project, paper, or commercial service are not suitable.

Proposal Preparation Guidelines

Each tutorial proposal should include the following information:

  • Title of the tutorial
  • Abstract or description of approximately 150-200 words
  • Motivation, technical scope, and relevance to the conference theme
  • Target audience, including expected background and professional roles
  • Prerequisites, if any
  • Learning objectives and expected takeaways
  • Detailed course outline, including topics and time allocations for the two-hour session
  • Presenter name(s), affiliation(s), and email address(es)
  • Short biography of approximately 150 words for each presenter
  • Information on prior tutorial, teaching, standardization, software, or industry experience, where applicable
  • Special requirements, such as software, datasets, demonstrations, or room setup, if applicable

Suggested Tutorial Topics

Tutorial proposals should align with the overall theme of the conference and address broad technical or methodological issues of interest to the power and energy community. Suggested topics include, but are not limited to, the following:

  1. Foundation Models, Large Language Models, and Agentic AI for Power Systems
    General methods, architectures, prompt and tool-use workflows, domain adaptation, benchmark design, and practical applications in dispatch, planning, operation and maintenance, and engineering decision support.
  2. Trustworthy, Explainable, and Verifiable AI for Safety-Critical Grid Applications
    Principles and tools for explainability, uncertainty calibration, robustness, formal verification, human-in-the-loop operation, and risk-aware deployment of AI in power system environments.
  3. Learning-Optimization Integration for Power System Planning and Operation
    Predict-then-optimize methods, decision-focused learning, contextual optimization, differentiable optimization, and hybrid optimization-learning workflows for low-carbon energy systems.
  4. Reinforcement Learning, Safe Learning, and Sequential Decision-Making in Power Systems
    MDP/POMDP modeling, constrained and safe reinforcement learning, offline reinforcement learning, simulation-based training, and deployment considerations for grid operation and control.
  5. Power Time-Series Forecasting
    Modern forecasting methods for renewable generation, load, price, and extreme events; interval and probabilistic forecasting; scenario generation.
  6. Digital Twins, Co-Simulation, and Real-Time Simulation Platforms
    Data-model integration, cyber-physical co-simulation, high-performance computing, cloud-edge collaboration, hardware-in-the-loop testing, and validation frameworks for modern power systems.
  7. Grid-Forming Converters, Low-Inertia Stability, and Converter-Dominated Grid Control
    Modeling, control, protection, stability assessment, and system-level integration of inverter-based resources in renewable-rich and low-inertia power grids.
  8. Energy Storage, Distributed Energy Resources, Virtual Power Plants, and Flexibility Aggregation
    Technologies and methods for storage operation, DER coordination, demand response, prosumer participation, flexibility quantification, and aggregation in distribution and transmission systems.
  9. Climate Resilience, Reliability Assessment, and Extreme-Weather Risk Modeling
    Climate-informed planning, resilience metrics, reliability and adequacy assessment, cascading risk analysis, wildfire/storm/flood modeling, and restoration strategies for power and energy systems.
  10. Electricity Markets, Carbon Markets, and AI-Enabled Market Analytics
    Market design for flexibility, capacity, ancillary services, green power, carbon pricing, bidding strategies, mechanism design, market simulation, and policy impacts on low-carbon energy transition.


Proposals on other tutorial topics relevant to power and energy systems, AI technologies, low-carbon energy transition, standards, policy, or industrial practice are also welcome.

Presenter Guidelines

  • Tutorial slides must use the official IEEE PES template. Presenter details and company logos may appear only on the first and last slides.
  • Presenters must agree to provide a PDF version of their tutorial slides for distribution to registered attendees through the IEEE PES Resource Center, subject to IEEE PES policies.
  • Tutorials should maintain a balanced, educational perspective and should not be used primarily for commercial promotion.
  • At least one presenter of each accepted tutorial is expected to register for and attend the meeting in person, subject to the conference policy announced by the organizing committee.

Review and Selection

All tutorial proposals will be reviewed by the 2027 IEEE PES International Meeting Organizing Committee and Technical Program and Publications Committee. Proposals will be evaluated based on technical relevance, educational value, breadth and depth of coverage, timeliness, presenter expertise, and alignment with the conference theme.

Acceptance notifications will be sent by email. The organizing committee may request revisions to tutorial titles, abstracts, outlines, or presenter information before final approval.

Contact

Please submit tutorial proposals and direct any questions to the Tutorial Co-Chairs Prof. Wei Wei and Prof. Gen Li at [email protected]. The name(s) of the designated contact person(s) should be inserted before public release.

We look forward to receiving high-quality tutorial proposals that advance knowledge, technology, and practice for AI-empowered low-carbon energy transition in the power and energy sector.