As renewable energy sources like wind and solar become increasingly central to electricity generation, accurate forecasting of their feed-in is crucial for maintaining system stability, optimizing market operations, and guiding infrastructure investment. This symposium focuses on the latest developments in renewable energy forecasting and meta-forecasting-approaches that combine or enhance multiple models to improve predictive performance.
The Symposium on Renewable Feed-in Forecasting is a focused one-day event aiming to bring together experts from academia, system operators and industry to discuss current challenges and future directions in the forecasting of renewable energy feed-in, with a special focus on wind, solar and hybrid systems.
Keynote Speakers
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Prof. Dr. Emanuele Ogliari
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(More to be announced...)
Info on Registration
If you are interested in participating in the symposium, please register using the “Registration” button on the left. Participation is free of charge.
Speakers are kindly asked to consult the submission guidelines below.
Further details can be found in the downloadable “Call for Abstracts” file on the left.
Submission Guidelines
Please submit your extended abstract including full author names and affiliations by September 15 2025, via the submission portal. Submissions may include recently published work.
Topics
The symposium’s topics are broad and include:
Advanced Forecasting Techniques
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Machine learning vs. physical models in wind/solar forecasting
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Meta-forecasting techniques: forecast combination, benchmarking and performance evaluation
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Forecast uncertainty quantification methods
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Hybrid forecasting methods integrating statistical and physical models
Economic and System Impacts
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Economic value of improved forecasting for TSOs and market participants
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Economic impacts of forecast errors on market outcomes and system costs
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Coordination of forecasting across TSOs and DSOs
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Cost-benefit analysis of forecast improvement strategies
Operational Applications
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Short-term (15min–hourly) vs. day-ahead forecasting challenges
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Forecasting under extreme weather conditions
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Forecasting in regions with high distributed generation
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Integration of forecasts into balancing and redispatch operations
Grid and Market Integration
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Forecasting for hybrid systems (wind + solar + storage)
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Cross-border collaboration
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Data exchange standards for multi-region forecasting
Forecasting Infrastructure
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Role of virtual power plants
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Weather input quality and data sourcing
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Use of satellite, NWP, and IoT data
This symposium is funded by the German government with funds from the German Federal Ministry for Economic Affairs and Climate Action as part of the FOCCSI 2 project.
