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Event Date | Thu Sep 28 EDT - Fri Sep 29 EDT (about 1 year ago) |
Location |
Novotel Lisboa
Av. José Malhoa 1 1A, 1099-051 Lisboa, Portugal |
Region | EMEA |
The current market volatility poses a challenge to modellers, forecasters, traders and analysts. What’s more, regulation changes and new clean energy targets are increasing the integration of renewables, leading to even more changes to adapt to.
This events will gather prominent industry experts discuss the main challenges in the industry and how to overcome them.
Join us to hear more about:
• Power and energy markets after (or still during) the turmoil
• What if scenarios studying demand, storage and weather effects on the electricity market
• Investment uncertainties in long term planning
• Challenges and trends in long-term price forecasting
• Insights from core flow-based market coupling
• Impact of EPF on portfolio optimization
• Understanding machine learning predictions
• Machine learning based forecasting for renewable energy trading
• A comparison of the models used for EPF and their performance
This event will allow participants to hear more about the latest advancements in price forecasting and minimizing risk when trading energy and join in on the discussion.
2023 Speakers
Jussi Mäkelä
Head of Trading Analysis Market Intelligence, Trading & Asset Optimisation, Fortum Power and Heat Oy
Pietro Rabassi
Executive Vice President - Western and Central Europe, Nord Pool
Lennart Heinemeier
Short Term Power Trading Strategist, Dexter Energy
Miguel Pinhão
Portfolio Management Lead, Edp
Jingmei Xie
Market Analytics Manager, National Grid
Petr Jonaš
Head of Energy Market Modeling, Čez
Álvaro Puertas De La Morena
Senior Consultant, Afry Management Consulting
Dimitry Davidenko
Head of Quantitative Analytics, Latvenergo as
Anna Stawska
Phd Candidate, Tu Delft
Bernd Höflich
Expert Interconnectors, 50 Hertz Transmission Gmb H
Philipp Loske
Software Developer, 4cast
Iztok Lapanja
Head of Advanced Analytics, Interenergo
2023 Sponsors
BRONZE SPONSORS:
• Afry
• Dexter
• 4Casr