PES IM 2027 (IEEE Power & Energy Society (PES) International Meeting) is an academic conference held in Beijing, China on 2027-01-10. The paper submission deadline is 2026-08-15. Acceptance notifications are sent on 2026-10-07.
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
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