PMAPS 2026: The 19th International Conference on Probabilistic Methods Applied to Power Systems University of Utah Salt Lake City, UT, United States, September 21-24, 2026

PMAPS 2026 invites original research contributions that explore probabilistic, statistical, and stochastic methods applied to power systems. This premier international forum brings together academics, industry experts, and policymakers to discuss innovations that enhance grid reliability, resilience, and sustainability.

Conference Theme: Towards Reliable Power Grids in the age of AI and Large Loads

Probabilistic and Risk-Based Analysis, Planning, and Operation of Power Systems 

• Demand, generation, and market forecasting and uncertainty modeling
• Integration and coordination of inverter-based resources, distributed energy resources and virtual power plants
• AI for stochastic/probabilistic grid control
• Emerging applications of generative AI, large language models (LLMs), foundation models, and federated learning

Large Loads Integration in Power Systems

• Characterization, modeling, and forcasting of large loads
• Bulk power system operation and planning considering large loads
• Power system adequacy analysis considering large loads integration
• Stability analysis of grids with extensive large loads integration
• Siting, permitting, and policy implications for new large loads and associated generation projects (e.g., nuclear and geothermal)
• Market design and flexibility mechanisms for large load variability management

High-Impact Events and Grid Resilience

• High-impact, low-probability event analysis
• Grid resilience metrics, frameworks, and enhancements
• Cascading failures in electric power systems
• Event-driven planning and operational strategies
• Compounding hazards modeling and mitigation
• Outage data analysis and data-driven resilience assessment tools

Data-driven Asset Management

• Asset condition monitoring, data management and analysis 
• Reliability-centred and condition-based maintenance and asset management
• Power quality monitoring and enhancement tools
• End-of-life prognosis and ageing assessment tools

We invite original, unpublished full papers that present innovative research, methodologies, and applications of probabilistic methods in power systems.

Submission Details:

• • Full Papers: Submit via EasyChair, link here.
  • Format: IEEE Standard Two Column Conference Paper, template here.
    • Page Limit: Six (6) pages including figures, tables and references.
    • File: PDF file.
  • Review Process: Peer-reviewed by the PMAPS Technical Committee
  • Important Dates:
    • Submission Deadline: February 15, 2026
    • Notification of Acceptance: May 15, 2026

Corresponding authors will be notified of the decision by email. Accepted papers will be published in IEEE Xplore Digital Library. For publication, at least one author must register and present the paper at the conference.

All questions about submissions should be emailed to PMAPS Organizing Commitee at pmaps2026@gmail.com.