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.

Metrics

  • Total Publications: 40+ journal and conference papers
  • Citations: 500+ (Google Scholar)
  • h-index: 13 (Google Scholar)
  • Recent Activity: 15+ publications in 2024-2025

Journal Articles

2025

  • Fazzini, P., La Tona, G., Diez, M., & Di Piazza, M. C. (2025). Enhanced forecasting of shipboard electrical power demand using multivariate input and variational mode decomposition with mode selection. Scientific Reports, 15(1), 23941. DOI: 10.1038/s41598-025-06153-z

  • Fazzini, P., La Tona, G., Montuori, M., Diez, M., & Di Piazza, M. C. (2025). NCD-Pred: Forecasting Multichannel Shipboard Electrical Power Demand Using Neighborhood-Constrained VMD. Forecasting, 7(3), 44. DOI: 10.3390/forecast7030044

2024

  • La Tona, G., Luna, M., & Di Piazza, M. C. (2024). Day-ahead forecasting of residential electric power consumption for energy management using Long Short-Term Memory encoder–decoder model. Mathematics and Computers in Simulation, 224, 63-75. DOI: 10.1016/j.matcom.2023.06.017

2023

  • Luna, M., Sferlazza, A., Accetta, A., Di Piazza, M. C., La Tona, G., & Pucci, M. (2023). Modeling and Experimental Validation of a Voltage-Controlled Split-Pi Converter Interfacing a High-Voltage ESS with a DC Microgrid. Energies, 16(4), 1612. DOI: 10.3390/en16041612

  • Luna, M., La Tona, G., Accetta, A., Pucci, M., Pietra, A., & Di Piazza, M. C. (2023). Optimal Management of Battery and Fuel Cell-Based Decentralized Generation in DC Shipboard Microgrids. Energies, 16(4), 1682. DOI: 10.3390/en16041682

2021

  • Luna, M., Di Piazza, M. C., La Tona, G., Accetta, A., & Pucci, M. (2021). Exploiting dynamic modeling, parameter identification, and power electronics to implement a non-dissipative Li-ion battery hardware emulator. Mathematics and Computers in Simulation, 183, 48-65. DOI: 10.1016/j.matcom.2020.04.028

  • Di Piazza, A., Di Piazza, M. C., La Tona, G., & Luna, M. (2021). An artificial neural network-based forecasting model of energy-related time series for electrical grid management. Mathematics and Computers in Simulation, 184, 294-305. DOI: 10.1016/j.matcom.2020.05.010

  • La Tona, G., Di Piazza, M. C., & Luna, M. (2021). Effect of Daily Forecasting Frequency on Rolling-Horizon-Based EMS Reducing Electrical Demand Uncertainty in Microgrids. Energies, 14(6), 1598. DOI: 10.3390/en14061598

  • Luna, M., Sferlazza, A., Accetta, A., Di Piazza, M. C., La Tona, G., & Pucci, M. (2021). Modeling and Performance Assessment of the Split-Pi Used as a Storage Converter in All the Possible DC Microgrid Scenarios. Part I: Theoretical Analysis. Energies, 14(16), 4902. DOI: 10.3390/en14164902

  • Luna, M., Sferlazza, A., Accetta, A., Di Piazza, M. C., La Tona, G., & Pucci, M. (2021). Modeling and Performance Assessment of the Split-Pi Used as a Storage Converter in All the Possible DC Microgrid Scenarios. Part II: Simulation and Experimental Results. Energies, 14(18), 5616. DOI: 10.3390/en14185616

2020

  • La Tona, G., Luna, M., Di Piazza, M. C., Pucci, M., & Accetta, A. (2020). Development of a High-Performance, FPGA-Based Virtual Anemometer for Model-Based MPPT of Wind Generators. Electronics, 9(1), 83. DOI: 10.3390/electronics9010083

  • Luna, M., La Tona, G., Accetta, A., Pucci, M., & Di Piazza, M. C. (2020). An Evolutionary EMI Filter Design Approach Based on In-Circuit Insertion Loss and Optimization of Power Density. Energies, 13(8), 1957. DOI: 10.3390/en13081957

  • Accetta, A., Cirrincione, M., Di Piazza, M. C., La Tona, G., Luna, M., & Pucci, M. (2020). Analytical Formulation of a Maximum Torque per Ampere (MTPA) Technique for SynRMs Considering the Magnetic Saturation. IEEE Transactions on Industry Applications, 56(4), 3846-3854. DOI: 10.1109/TIA.2020.2993525

2019

  • Di Piazza, M. C., Luna, M., La Tona, G., & Di Piazza, A. (2019). Improving Grid Integration of Hybrid PV-Storage Systems Through a Suitable Energy Management Strategy. IEEE Transactions on Industry Applications, 55(1), 60-68. DOI: 10.1109/TIA.2018.2870348

  • La Tona, G., Luna, M., Di Piazza, A., & Di Piazza, M. C. (2019). Towards the Real-World Deployment of a Smart Home EMS: A DP Implementation on the Raspberry Pi. Applied Sciences, 9(10), 2120. DOI: 10.3390/app9102120

2018

  • Petrone, G., Luna, M., La Tona, G., Di Piazza, M., & Spagnuolo, G. (2018). Online Identification of Photovoltaic Source Parameters by Using a Genetic Algorithm. Applied Sciences, 8(1), 9. DOI: 10.3390/app8010009

  • La Tona, G., Petitti, A., Lorusso, A., Colella, R., Milella, A., & Attolico, G. (2018). Modular multimodal user interface for distributed ambient intelligence architectures. Internet Technology Letters, 1(2), e23. DOI: 10.1002/itl2.23

2017

  • Di Piazza, M. C., La Tona, G., Luna, M., & Di Piazza, A. (2017). A two-stage Energy Management System for smart buildings reducing the impact of demand uncertainty. Energy and Buildings, 139, 1-9. DOI: 10.1016/j.enbuild.2017.01.003

2013

  • Dindo, H., Nivel, E., La Tona, G., Chella, A., & Thórisson, K. R. (2013). An architecture for observational learning and decision making based on internal models. Biologically Inspired Cognitive Architectures, 5, 52-63. DOI: 10.1016/j.bica.2013.05.007

Conference Papers

2025

  • La Tona, G., Di Piazza, M. C., Accetta, A., Pucci, M., & Luna, M. (2025). Ship Fuel Consumption Reduction Through Variable-Speed Generation Under Coordinated Control and Management Systems. In ELECTRIMACS 2024 (pp. 659-672). Springer. DOI: 10.1007/978-3-031-73921-7_50

  • Fazzini, P., La Tona, G., Diez, M., & Di Piazza, M. C. (2025). Enhanced Multi-Step Ahead Forecasting of Electrical Power Demand Using Neighborhood-Constrained Decomposition Strategy. In 2025 IEEE International Conference on Environment and Electrical Engineering (pp. 1-6). DOI: 10.1109/EEEIC/ICPSEurope64998.2025.11169082

  • Misia, M., La Tona, G., Sferlazza, A., Sergi, F., Brunaccini, G., Aloisio, D., & Luna, M. (2025). An Energy Management System Capable of Microgrid Flexibility Evaluation to Support Demand Bidding. In 2025 IEEE 34th International Symposium on Industrial Electronics (pp. 1-7). DOI: 10.1109/ISIE62713.2025.11124767

  • Di Piazza, M. C., Pucci, M., Rodono’, G., La Tona, G., Yuksel, O., Shagar, V., & Iafrati, A. (2025). Shipboard Photovoltaics Integration for Retrofitting Cargo Ships: A Case Study. In Proceedings of NAV 2025. IOS Press. DOI: 10.3233/PMST250023

2024

  • Luna, M., Sferlazza, A., Accetta, A., Di Piazza, M. C., La Tona, G., & Pucci, M. (2024). A Voltage-Controlled Split-pi Converter Interfacing a High-Voltage ESS with a DC Microgrid: Modeling and Experimental Validation. In ELECTRIMACS 2022 (pp. 145-161). Springer. DOI: 10.1007/978-3-031-55696-8_10

  • La Tona, G., Fazzini, P., & Di Piazza, M. C. (2024). Unsupervised Anomaly Detection of Shipboard Electrical Power Consumption Through GRU Autoencoder Model. In 2024 IEEE International Conference on Environment and Electrical Engineering (pp. 1-6). DOI: 10.1109/EEEIC/ICPSEurope61470.2024.10751562

  • Fazzini, P., La Tona, G., Diez, M., & Di Piazza, M. C. (2024). Sailing Towards Efficiency: A Variational Mode Decomposition Based Approach to Forecasting Shipboard Electrical Power Consumption. In 2024 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles (pp. 1-6). DOI: 10.1109/ESARS-ITEC60450.2024.10819873

  • La Tona, G., Luna, M., & Di Piazza, M. C. (2024). Multi-Objective Microgrid Management Considering Operating Costs, Battery Health, and Islanding Capability. In IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society (pp. 1-7). DOI: 10.1109/IECON55916.2024.10905126

2023

  • Di Piazza, M. C., Luna, M., & La Tona, G. (2023). A Survey of Energy Management Systems Considering Battery State of Health Preservation in Microgrid Applications. In ELECTRIMACS 2022 (pp. 479-490). Springer. DOI: 10.1007/978-3-031-24837-5_36

  • La Tona, G. & Di Piazza, M. C. (2023). ANN-based forecasting of solar irradiation under data clustering: an approach for improved estimation of PV power production. In 2023 IEEE 32nd International Symposium on Industrial Electronics (pp. 1-6). DOI: 10.1109/ISIE51358.2023.10228061

  • Di Piazza, M. C., La Tona, G., & Luna, M. (2023). Small-Signal Stability Analysis of Shipboard Power Electronics-Based DC Microgrids. In 2023 IEEE Vehicle Power and Propulsion Conference (pp. 1-6). DOI: 10.1109/VPPC60535.2023.10403339

2022

  • La Tona, G., Luna, M., & Di Piazza, M. C. (2022). A Multi-Objective Optimization-based EMS for Residential Microgrids Considering Battery SoH. In IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society (pp. 1-6). DOI: 10.1109/IECON49645.2022.9968553

  • Palomba, V., Brunaccini, G., Aloisio, D., Dino, G. E., Luna, M., La Tona, G., Di Piazza, M. C., Frazzica, A., & Sergi, F. (2022). A Smart Thermal Management System for High Efficiency Data Center Cooling in Microgrid Environment. In 2022 AEIT International Annual Conference (pp. 1-6). DOI: 10.23919/AEIT56783.2022.9951798

2021

  • Di Piazza, M. C., Luna, M., La Tona, G., Accetta, A., Pucci, M., & Pietra, A. (2021). Shipboard microgrids: comparison of solutions based on LVDC distribution on cruise ships. In 2021 IEEE International Conference on Environment and Electrical Engineering (pp. 1-6). DOI: 10.1109/EEEIC/ICPSEurope51590.2021.9584742

2020

  • Accetta, A., Cirrincione, M., Di Piazza, M. C., La Tona, G., Luna, M., & Pucci, M. (2020). Growing Neural Gas-based Maximum Torque per Ampere (MTPA) Technique for SynRMs. In 2020 IEEE Energy Conversion Congress and Exposition (pp. 2668-2673). DOI: 10.1109/ECCE44975.2020.9235713

2019

  • Accetta, A., Cirrincione, M., Di Piazza, M. C., La Tona, G., Luna, M., & Pucci, M. (2019). Analytical Formulation of a Maximum Torque per Ampere (MTPA) Technique for SynRMs Considering the Magnetic Saturation. In 2019 IEEE Energy Conversion Congress and Exposition (pp. 4024-4029). DOI: 10.1109/ECCE.2019.8912653

  • La Tona, G., Luna, M., Di Piazza, M. C., & Pietra, A. (2019). Energy Management System for Efficiency Increase in Cruise Ship Microgrids. In IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society (pp. 4056-4062). DOI: 10.1109/IECON.2019.8927314

  • La Tona, G., Luna, M., Di Piazza, A., & Di Piazza, M. C. (2019). Development of a Forecasting Module based on Tensorflow for Use in Energy Management Systems. In IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society (pp. 3063-3068). DOI: 10.1109/IECON.2019.8926801

2018

  • Di Piazza, M. C., Luna, M., La Tona, G., Accetta, A., Pucci, M., & Pietra, A. (2018). A mixed AC/DC low voltage electrical distribution architecture for increasing the payload on ships. In NAV 2018 - 9th International Conference on Ship & Maritime Research (pp. 230-237). IOS Press. DOI: 10.3233/978-1-61499-870-9-230

  • Luna, M., La Tona, G., Di Piazza, M. C., Pucci, M., Accetta, A., Taibi, D., Vetro, C., & La Grassa, R. (2018). A Prototype of Wireless Sensor for Data Acquisition in Energy Management Systems. In 2018 IEEE International Conference on Environment and Electrical Engineering (pp. 1-6). DOI: 10.1109/EEEIC.2018.8494413

  • Di Piazza, M. C., Luna, M., Pucci, M., La Tona, G., & Accetta, A. (2018). Electrical Storage Integration Into a DC Nanogrid Testbed for Smart Home Applications. In 2018 IEEE International Conference on Environment and Electrical Engineering. DOI: 10.1109/EEEIC.2018.8493913

  • Pucci, M., Accetta, A., Di Piazza, M. C., Luna, M., La Tona, G., & Pietra, A. (2018). Electric Ship Propulsion Improvement by Increasing Efficiency of Adjustable-Speed Motor Drives. In 2018 IEEE International Conference on Environment and Electrical Engineering (pp. 1-5). DOI: 10.1109/EEEIC.2018.8494207

  • Di Piazza, M. C., Luna, M., La Tona, G., Pucci, M., Accetta, A., & Pietra, A. (2018). A New Method for Selecting the Voltage Level for an Advantageous Transition to DC Distribution in Ships. In 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles (pp. 1-5). DOI: 10.1109/ESARS-ITEC.2018.8607438

  • Accetta, A., Di Piazza, M. C., La Tona, G., Luna, M., & Pucci, M. (2018). Electric Ship Propulsion with Induction Motor Drive and Li-Ion Battery based Back-up Capability. In 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles (pp. 1-6). DOI: 10.1109/ESARS-ITEC.2018.8607532

2017

  • Di Piazza, M. C., Luna, M., La Tona, G., & Di Piazza, A. (2017). Energy management of hybrid PV-storage systems for improved grid integration. In 2017 IEEE International Conference on Environment and Electrical Engineering (pp. 1-5). DOI: 10.1109/EEEIC.2017.7977539

  • Accetta, A., Di Piazza, M. C., La Tona, G., Luna, M., & Pucci, M. (2017). A high-performance FPGA-based virtual anemometer for MPPT of wind energy conversion systems. In 2017 IEEE 26th International Symposium on Industrial Electronics (pp. 926-933). DOI: 10.1109/ISIE.2017.8001370

2016

  • Di Piazza, M. C., Luna, M., Di Piazza, A., & La Tona, G. (2016). Energy Management Systems for effective gap reduction between actual and predicted power in smart homes and buildings. In IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society (pp. 7058-7064). DOI: 10.1109/IECON.2016.7793496

2015

  • Di Piazza, M. C., La Tona, G., Luna, M., & Di Piazza, A. (2015). A novel EMS for residential microgrids reconciling end-user and utility needs. In 2015 International Conference on Clean Electrical Power (pp. 140-146). DOI: 10.1109/ICCEP.2015.7177614

2013

  • Dindo, H., La Tona, G., Nivel, E., Pezzulo, G., Chella, A., & Thórisson, K. R. (2013). Simulation and Anticipation as Tools for Coordinating with the Future. In Biologically Inspired Cognitive Architectures 2012 (pp. 117-125). Springer. DOI: 10.1007/978-3-642-34274-5_24

2011

  • Dindo, H., Chella, A., La Tona, G., Vitali, M., Nivel, E., & Thórisson, K. R. (2011). Learning Problem Solving Skills from Demonstration: An Architectural Approach. In Artificial General Intelligence (pp. 194-203). Springer. DOI: 10.1007/978-3-642-22887-2_20

2010

  • Gambino, O., Vitabile, S., Lo Re, G., La Tona, G., Librizzi, S., Pirrone, R., Ardizzone, E., & Midiri, M. (2010). Automatic Volumetric Liver Segmentation Using Texture Based Region Growing. In 2010 International Conference on Complex, Intelligent and Software Intensive Systems (pp. 146-152). DOI: 10.1109/CISIS.2010.118

Technical Reports

2018

  • Luna, M., La Tona, G., Scordato, S. G., Sauro, A., Di Piazza, M. C., Pucci, M., Vetro, C., & La Grassa, R. (2018). Risultato di valorizzazione applicativa: Progettazione e realizzazione di un prototipo di sensore wireless per il monitoraggio di carichi elettrici in ambiente Smart Building. Technical Report, Consiglio Nazionale delle Ricerche, Palermo, Italy.

For the most up-to-date publication list, please visit my Google Scholar profile or ORCID page.