The second session of the Portfolio AI in Energy 2026 conference takes place on May 27 at the Marriott Hotel in Budapest. Titled "Data-driven operations in practice," the block aims to demonstrate how algorithms, automated systems and data-driven decision-making are being integrated into everyday operations at industrial and energy companies, and how these developments translate into measurable business value.
When and where
- Date: 27 May 2026
- Venue: Marriott Hotel, Budapest
Session focus
The second session concentrates on practical solutions already shaping the operations of industrial and energy market participants. Key topics include:
- real-time monitoring systems;
- predictive models for forecasting consumption and production;
- automated optimization in industrial energy systems and electricity trading;
- AI-based scheduling, portfolio optimization and automated trading.
Organizers emphasize that speed, data quality and forecasting accuracy are increasingly direct sources of competitive advantage. The program also addresses optimization of hybrid energy systems, digital twin models and predictive maintenance — solutions that grow in importance in decentralized, renewables-based systems.
Speakers and practical examples
Industry practitioners will present real-world cases:
- Petis László, managing director of IL-PE Kft., will present practical examples from the field;
- Dolányi Mihály, CEO of sight-E, will discuss how AI is becoming more than a tool in energy trading and is effectively becoming the trader itself;
- Kalmár Zoltán, product development lead for evosoft Hungary Siemens AI & Robotics, will outline the directions of industrial AI development in 2026.
The session concludes with a practitioner-focused panel titled "Artificial intelligence is already in the pantry — practical solutions in energy." Panelists are:
- Farkas Péter (ArchonLayer);
- Hajós Balázs (Schneider Electric);
- Dr. Jánki Zoltán (SZTE).
The panel will focus on concrete business and operational benefits AI can already deliver to energy sector actors.
Why this matters
The program reflects the growing role of digitalization and AI in the energy sector: real-time data and reliable forecasts improve operational efficiency, can lower costs, and increase flexibility amid changing production and consumption patterns. At the same time, organizers note that return on investment depends on technology choices, data quality and speed of deployment.
Participation
Organizers invite interested parties to register for the event. Further information and registration options are provided under the AI in Energy 2026 program.
Related coverage
A related Portfolio analysis on 13 May 2026 examined how software shapes the future of electricity markets and their design.
If you follow practical AI applications and their business impact in energy, this session offers first-hand examples and discussion.
