The 18th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2024) brings together researchers, engineers, and technologists from academia, government, and industry for an interactive discussion on the latest advances in Probabilistic Methods Applied to Power Systems.

The technical committee of PMAPS 2024 seeks tutorial submissions related to, but not limited to, the following topics of interest.

• Hosting capacity considering uncertainties in sources and demands 

• Distributed resources to enhance power system reliability and resiliency

• Forecasting in power industries with high penetration of intermittent generation and loads|

• Reliability for system planning, operation, control and protection

• Probabilistic assessment in power market

• Stochastic optimisation and simulation

• Uncertainties in power system state estimation

• Uncertainties in simulation

• Probabilistic methods in fault analysis of power systems

• Risk assessment associated with different events in electrical power systems

• Extreme event analysis

• Reliability standards and guidelines development

A tutorial proposal should include title, abstract (no more than 300 words), and speaker(s) and their short biographies, and must be approved for public disclosure prior to submission. Please specify the length of the proposed tutorial. The final tutorial could be one/two/three/four-hours long.

Proposals should be emailed to: avy.sheina@autuni.ac.nz and neville.watson@canterbury.ac.nz.

Important dates:

• Tutorial proposal submission: 2 February 2024 29 February 2024

• Notification of acceptance/ rejection: 5 April 2024

• Final tutorial material submission: 1 June 2024

More information on the conference can be found at https://www.pmaps2024.com/

Questions about PMAPS 2024 Tutorial can be addressed to:
Tutorial Chairs: Avy Sheina (avy.sheina@autuni.ac.nz) and Neville Watson (neville.watson@canterbury.ac.nz).

Questions about PMAPS 2024 in general can be addressed to:
General Chairs: Tek Lie (Tek.lie@aut.ac.nz) and Ramon Zamora (ramon.zamora@aut.ac.nz)