Call for Papers

The 2nd IEEE Power & Energy Society (PES) International Meeting (PES IM) will be held in Beijing, China, on 10-13 January 2027. Under the theme of AI-Empowered Low-Carbon Energy Transition, the meeting will provide an international forum for researchers, engineers, industry practitioners, system operators, policy makers, and students to exchange the latest advances in power and energy systems. The conference welcomes high-quality submissions presenting original research, methodological innovations, field applications, industrial practices, and emerging perspectives that support secure, reliable, economical, and low-carbon energy transition.

Prospective authors are invited to submit full papers on, but not limited to, the topics listed below. Accepted and presented papers will be submitted for inclusion in IEEE Xplore and for indexing by Ei Compendex and Scopus, subject to the review and indexing processes of the respective databases.

Important Dates and Submission

26 Jun 2026
26 Jun 2026

Submission site opens

Submit Your Paper Here
15 Aug 2026
15 Aug 2026

Full paper submission deadline

15 Sep 2026
15 Sep 2026

Notification of provisional acceptance

30 Sep 2026
30 Sep 2026

Final paper submission deadline

07 Oct 2026
07 Oct 2026

Notification of final acceptance

Technical Scope and Topics of Interest

AI-Empowered Power System Planning, Operation, Control and Protection

  • AI-based power forecasting, scenario generation and uncertainty quantification
  • Verifiable, trustworthy and physics-informed AI for safety-critical power system applications
  • AI-assisted transmission, distribution and generation expansion planning
  • Learning-optimization methods for power system operation
  • AI-assisted state estimation, topology identification, event analysis and anomaly detection
  • AI-enabled relay protection, adaptive protection, fault location and emergency control
  • Modeling, operation, and control of AI data centers and data-center-integrated power systems

Large Models, Foundation Models, and Intelligent Agents for Power Systems

  • Large models, foundation models, and domain-specific vertical models for power and energy systems
  • LLM applications in dispatch, operation and maintenance, planning, regulation and market analysis
  • Agentic decision-making, multi-agent coordination and autonomous power system operation
  • LLM-based operator assistants, copilots, decision-support systems and human-machine collaboration
  • Large-model-assisted fault analysis, emergency response, outage management and resilience enhancement
  • AI agents for power system simulation, modeling, optimization, code generation and workflow automation
  • Safety, explainability, reliability, hallucination mitigation and human oversight of large-model systems
  • Benchmarks, datasets, evaluation protocols and trustworthy validation for large models in power systems

Electricity Markets, Carbon Markets, Energy Economics and Energy Policy

  • Low-carbon electricity, capacity, ancillary service and flexibility markets
  • Pricing, locational marginal pricing, congestion management and transmission rights/li>
  • Coordination of electricity and carbon markets, carbon pricing, carbon accounting and emissions constraints
  • Market participation of distributed energy resources, virtual power plants, storage and demand response
  • AI-enabled bidding, trading, forecasting, risk management and strategy analysis
  • Market behavior modeling, game theory, mechanism design and regulatory incentives
  • Energy equity, affordability and social welfare analysis
  • Interregional trading, green power trading, renewable energy certificates and carbon credits
  • Policy and market impacts on renewable investment, reliability, resilience and flexibility

Stability, Resilience, Reliability, Cybersecurity and Climate Adaptation

  • Power electronics, converter-dominated grids, grid-forming control and inverter-based resources
  • Stability analysis and control of low-inertia, renewable-rich power systems
  • Power system resilience under extreme weather, natural disasters and climate change
  • Reliability modeling, adequacy assessment and risk evaluation
  • Cybersecurity, intrusion detection, false-data injection detection and cyber-physical system protection
  • Climate-adaptive grid design, weather-informed planning and asset hardening strategies
  • Emergency response, restoration, black-start strategies and coordinated recovery planning

AI-Empowered Design, Operation and Diagnosis of Power Equipment

  • AI-assisted design of energy storage systems, battery materials and battery management systems
  • AI-assisted design of power electronics, wide-bandgap devices and converter systems
  • Intelligent design and optimization of high-voltage equipment, transformers and cables
  • Digital twins, health assessment, degradation modeling and lifetime prediction of power equipment
  • Data-driven fault diagnosis, defect detection, predictive maintenance and condition monitoring
  • AI for accelerated testing, online monitoring, field inspection and asset management

Digitalization, Data Infrastructure, Simulation Platforms and Standards

  • Power system digital twins, online simulation and real-time decision-making platforms
  • Open datasets, benchmark systems, model validation and reproducibility frameworks
  • High-performance computing, cloud-edge collaboration, co-simulation and real-time simulation
  • AI deployment, edge intelligence, embedded intelligent control and engineering implementation
  • Privacy-preserving computing, federated learning, secure data sharing and data governance
  • Standards, interoperability, communication protocols, compliance and certification
  • Data quality, missing data recovery, anomaly handling, provenance and traceability
  • Validation, testing, certification and field deployment of AI-enabled power system technologies

Renewable Integration, Distributed Energy Resources, Storage and Electrification

  • Grid integration of wind, solar, hydro, geothermal and other low-carbon energy resources
  • Planning, operation, and control of distributed energy resources, virtual power plants and microgrids
  • Energy storage modeling, sizing, degradation-aware operation and market participation
  • Electric vehicles, charging infrastructure, vehicle-to-grid services and electrified transportation systems
  • Demand response, flexible loads, prosumers, aggregators and transactive energy systems
  • Coordination of transmission and distribution systems under high renewable penetration
  • Low-carbon resource adequacy, flexibility assessment and long-duration storage applications

Low-Carbon Multi-Energy Systems, Sector Coupling and Emerging Technologies

  • Integrated electricity, gas, heat, hydrogen and transportation energy systems
  • Sector coupling, power-to-X, hydrogen production, storage, transport and utilization
  • Low-carbon energy hubs, industrial parks, ports, campuses and urban energy systems
  • Coordinated planning and operation of multi-energy systems under uncertainty
  • Carbon capture, utilization and storage in power and industrial energy systems
  • Lifecycle emissions assessment, carbon footprint modeling and low-carbon technology pathways
  • Emerging technologies and demonstrations for net-zero power and energy systems

Submission and Publication Information

  • All submissions will be reviewed by the Technical Program Committee. Acceptance decisions will be communicated to authors by email.
  • Papers must be prepared in accordance with the procedures and formatting requirements outlined in the IEEE PES Authors Kit
  • Full papers must be submitted through the online submission and review site. The maximum paper length is five pages.
  • Submissions should present original, unpublished work that is not under review elsewhere at the time of submission.
For questions regarding paper submission, please contact [email protected]