IECON 2025 Tutorial: Deep Learning for Energy Forecasting
Hands-on tutorial on deep learning-based forecasting methods for energy-related time series, covering fundamentals, hyperparameter tuning, and reproducibilit...
Welcome to Giuseppe La Tona’s Website
Welcome to Giuseppe La Tona’s Website
I am a Researcher with the National Research Council of Italy (CNR), Institute of Marine Engineering (INM), specializing in optimization and machine learning for energy management.
Explore my work:
- 🎓 About - Professional background and biography
- 🔬 Research - Research areas and current projects
- 📚 Publications - Complete bibliography and publications
- 📄 CV - Curriculum vitae and professional experience
📰 Latest News
October 2025
- 📊 Presenting tutorial at IECON 2025 (October 14-17, Madrid, Spain) - “DL-based Forecasting of Energy-related Time Series: Tuning, Evaluation and Reproducibility” (Info)
September 2025
- 📖 Paper Featured on Journal Cover - Co-authored paper “NCD-Pred: Forecasting Multichannel Shipboard Electrical Power Demand Using Neighborhood-Constrained VMD” selected for the cover of Forecasting journal, Volume 7, Issue 3 (View Cover)
- 🏛️ Track Chair for Electrimacs 2026 - Serving as Track Chair for Technical Track 4: “Numerical and Data-driven Methods, Machine Learning” at the International Conference on Electrical Machines, Drives and Power Systems (May 18-21, 2026, Palermo, Italy) (Website)
For inquiries about research collaboration or academic matters, please feel free to contact me.
Giuseppe La Tona, Ph.D.
Senior Member, IEEE
Researcher, CNR Institute of Marine Engineering