As the energy landscape continues to evolve, mastering energy market modeling is more crucial than ever. RTE international is pleased to announce the Antares Simulator Beginner Training, a specialized program designed to equip energy professionals with the skills and hands-on experience needed to leverage Antares Simulator for energy market analysis, power system optimization, and adequacy studies.

Antares Simulator is a leading open-source tool used by transmission system operators, researchers, and energy professionals worldwide to simulate adequacy and economy studies, optimize grid operations, analyze energy markets, and assess investment strategies, whether you are working on grid expansion planning, energy market simulations, or energy mix forecasting.

Participants will use Antares Web, an intuitive web-based interface that enhances accessibility and efficiency in energy modeling. The training includes real-world case studies, allowing attendees to explore how different energy mix scenarios impact energy markets and power system investment decisions.

Find about more about the training

Homme vu de dos qui regarde sa tablette dans un data center

Training details

Date: 8-10 June 2026

Location: On-site training
RTE international Paris
Tour Lafayette, 2/3 place des Vosges
92051 La Défense Cedex, France

Price : 3000 euros (ex. taxes)

Who should attend?

This training is tailored for:

+ Power system analysts and engineers
+
Energy market professionals
+ Researchers and academics in the energy sector
+ Policy makers
+ Consultants in electricity planning

Why should you attend?

If you are a professional engaged in power system analysis, energy market operations/modeling, or energy system planning, the Antares Simulator Beginner Training offers a valuable opportunity to deepen your expertise. This program is designed to provide a comprehensive introduction to Antares Simulator and its applications in adequacy studies, energy market simulations, and system optimization.

GEMS empowers users to define their own mathematical models directly within Antares, giving full control over how systems are represented and optimized. It makes complex modeling clearer and more structured, so teams can build, understand, and adapt studies with confidence.

Key learning outcomes

  • Understand the fundamentals of adequacy studies and energy system modeling 
  • Explore the capabilities of Antares Web for energy market simulations 
  • Gain hands-on experience in thermal, hydro, and short-term storage modeling for power system optimization 
  • Learn to configure simulation parameters and analyze filtering outputs 
  • Explore case studies using PEMMDB data to assess energy mix variations 
  • Get introduced to Antares R packages for advanced energy market data analysis 
  • Use GEMS to move beyond standard setups and create models tailored to your specific needs

How to register?

Interested? Email us now to register! training@rte-international.com

Participants are required to provide the following details during registration:

  • Your name and surname
  • The name, surname, and email of your representative (if applicable)
  • Company full name, address, intra-community VAT number, and business identity code or equivalent
  • The person responsible for invoicing
  •  

This information is essential for administrative and invoicing purposes.

Antares Simulator Beginner Training Agenda

Day #01
  • 09:00 – 09:30 Introduction to adequacy studies 
  • 09:30 – 10:15 Antares Web presentation 
  • 10:15 – 10:45 Global functioning of Antares, Load, Solar and Renewables Time Series 
  • 10:45 – 11:00 Coffee Break
  • 11:00 – 12:00 Thermal Modelling – Theory
  • 12:00 – 13:00 Lunch Break
  • 13:00 – 14:15 Practical work: Thermal Modelling
  • 14:15 – 14:30 Coffee Break
  • 14:45 – 15:45 Short Term Storage – Theory 
  • 16:00 – 17:00 Practical work: Short Term Storage 
  • 09:00 – 09:30 Quiz
  • 09:30 – 11:00 Hydro Modelling – Theory
  • 11:00 – 12:30 Practical work: Hydro Modelling
  • 12:30 – 13:30 Lunch Break 
  • 13:30 – 14:30 Miscellaneous Generation, Binding Constraints, Economic Options
  • 14:30 – 15:30 Simulation Parameters & Output Filtering 
  • 15:30 – 15:45 Coffee Break
  • 15:45 – 17:00 GEMS 
  • 09:00 – 09:30 Quiz
  • 09:30 – 12:00 Practical Work – Case Study Creation 
  • 12:00 – 13:00 Lunch Break
  • 13:00 – 14:00 Antares Viz application  
  • 14:15 – 15:00 Antares R & Python support libraries – Presentation  
  • 15:00 – 16:30 Practical work: Antares Tools
  •  

About the Antares Simulator trainers

Milos Andjelkovic

Milos joined RTEi South-East Europe (RTEi SEE) in 2022. A power system engineer turned software developer, he is currently Deputy Director of RTEi SEE. His work focuses on the Antares ecosystem, including contributions to Antares Simulator development, STA (Short-Term Adequacy) features, and Antares-related tooling such as the PEMMDB, Antares converter (also known as the Antares Model Builder). He has supported European planning and adequacy exercises, including TYNDP-related studies, and is involved in delivering training and methodological support to partners across the region.

Nikola Ilic

Power System Engineer, graduated from Faculty of Thenical Science, University of Novi Sad, Serbia. Nikola is currently employed by RTEi South-East Europe (RTEi SEE), as a Power System Software Developer, working mainly on the development of the Open-Source software Antares-Simulator and he is also invloved in Antares related projects and topics, like PEMMDB Converter, Antares Web Application.

Guillaume Maistre

After graduating with an engineering degree from Centrale Lille, Guillaume joined RTE International in 2025 as a Power System Engineer. He currently works on the open-source project Antares, especially on the GEMS documentation.

Raphael Dalle

Raphaël is a power system engineer who joined RTE international in 2025. He holds an engineering degree from CentraleSupélec and a master’s degree in Energy Economics. Raphaël works on a variety of projects related to supply-demand balance, sizing of secondary reserves and load long term forecasting.