Giuseppe La Tona, Ph.D.

I am a Researcher with the National Research Council of Italy (CNR), Institute of Marine Engineering (INM). My research interests include the development of Energy Management Systems and of Forecasting Models.

Research Overview

My research focuses on the intersection of optimization algorithms and machine learning for energy management systems. I develop computational methods to improve energy efficiency in modern infrastructure, from individual buildings to complex microgrids and transportation systems.

Current Research Areas

🔋 Energy Management Optimization

I develop advanced optimization algorithms for efficient energy distribution and consumption in various contexts:

  • Smart Building Systems: Algorithms for renewable energy integration, power flow optimization, and demand side optimization.
  • Microgrid Management: Coordination algorithms for distributed energy resources

Key Technologies: Mathematical optimization, metaheuristic algorithms, multi-objective optimization

🤖 Machine Learning for Energy Forecasting

My work applies machine learning techniques to predict and optimize energy-related time series:

  • Load Forecasting: Predicting electricity demand in buildings and industrial facilities
  • Renewable Energy Prediction: Solar and wind power generation forecasting

Key Technologies: Neural networks, time series analysis, ensemble methods, Keras implementations

Research Methodologies

Computational Approaches

  • Optimization Algorithms: Genetic algorithms, Mixed-Integer Linear Programming (MILP)
  • Machine Learning: Supervised learning, time series forecasting, neural networks
  • Simulation Tools: Python, MATLAB, mathematical modeling

Application Domains

  • Smart Buildings: Energy-efficient building management systems
  • Smart Grids: Distributed energy resource optimization
  • Transportation: Maritime energy systems

Current Projects

🎯 Active Research Initiatives

PRIN HEROGRIDS (Completed)

  • Role: Unit Coordinator for CNR-INM
  • Focus: Smart nanogrid design and control optimization
  • Collaboration: University of Padua, University of Salerno, University of Cassino

PNRR Programs

  • Sustainable Mobility Center (Waterways)
  • Hydrogen Research Program

Research Impact

Publications & Dissemination

  • 40+ peer-reviewed publications in top-tier journals and conferences
  • 500+ citations demonstrating research impact
  • Regular reviewer for leading journals in energy and industrial electronics

Knowledge Transfer

  • Teaching machine learning applications

Policy & Industry Engagement

  • Scientific evaluator for italian MIMIT Fondo Crescita Sostenibile

Future Research Directions

🔮 Emerging Areas

AI-Driven Energy Systems

  • Integration of Reinforcement Learning (RL) in energy management
  • Autonomous optimization systems
  • Real-time decision-making algorithms

Sustainable Transportation

  • Advanced electric vehicle energy systems
  • Smart charging infrastructure optimization

Collaboration Opportunities

I welcome collaborations in:

  • Academic Partnerships: Joint research projects and student exchanges
  • Industry Collaborations: Technology transfer and applied research
  • International Projects: EU and global research initiatives
  • Interdisciplinary Research: Cross-sector energy applications

For research collaboration inquiries, please contact me.