Andrea Pozzi

Orcid: 0000-0002-9808-5123

According to our database1, Andrea Pozzi authored at least 25 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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2024
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Deep Learning-Based Predictive Control for Optimal Battery Management in Microgrids.
IEEE Access, 2024

Bayesian Learning of Causal Networks for Unsupervised Fault Diagnosis in Distributed Energy Systems.
IEEE Access, 2024

Comparing UX Profile of Generative Artificial Intelligence Tools and Traditional Tools in Brainstorming Sessions: A Pilot Study.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

Deep-MPC: A DAGGER-Driven Imitation Learning Strategy for Optimal Constrained Battery Charging.
Proceedings of the American Control Conference, 2024

2023
Cryptoblend: An AI-Powered Tool for Aggregation and Summarization of Cryptocurrency News.
Informatics, March, 2023

Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters.
Sensors, 2023

A deep learning-based predictive controller for the optimal charging of a lithium-ion cell with non-measurable states.
Comput. Chem. Eng., 2023

Modeling experts, knowledge providers and expertise in Materials Modeling: MAEO as an application ontology of EMMO's ecosystem.
Appl. Ontology, 2023

Imitation Learning for Agnostic Battery Charging: A DAGGER-Based Approach.
IEEE Access, 2023

Controlling Bias Between Categorical Attributes in Datasets: A Two-Step Optimization Algorithm Leveraging Structural Equation Modeling.
IEEE Access, 2023

Review and Alignment of Domain-Level Ontologies for Materials Science.
IEEE Access, 2023

2022
Lexicographic model predictive control strategy in ageing-aware optimal charging procedure for lithium-ion batteries.
Comput. Chem. Eng., 2022

A Neural Network-Based Approximation of Model Predictive Control for a Lithium-Ion Battery with Electro-Thermal Dynamics.
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021
SOS-based Stability Region Enlargement of Bilinear Power Converters through Model Predictive Control.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

2020
Balancing-Aware Charging Strategy for Series-Connected Lithium-Ion Cells: A Nonlinear Model Predictive Control Approach.
IEEE Trans. Control. Syst. Technol., 2020

Global Sensitivity Methods for Design of Experiments in Lithium-ion Battery Context.
CoRR, 2020

Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries.
CoRR, 2020

Ecological Velocity Planning through Signalized Intersections: A Deep Reinforcement Learning Approach.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019
Optimal Charging of an Electric Vehicle Battery Pack: A Real-Time Sensitivity-Based MPC approach.
CoRR, 2019

2018
Optimal design of experiments for a lithium-ion cell: parameters identification of a single particle model with electrolyte dynamics.
CoRR, 2018

Film growth minimization in a Li-ion cell: a Pseudo Two Dimensional model-based optimal charging approach.
Proceedings of the 16th European Control Conference, 2018

Optimal Design of Experiment for Parameter Estimation of a Single Particle Model for Lithiumion Batteries.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Assessing the Performance of Model-Based Energy Saving Charging Strategies in Li-Ion Cells.
Proceedings of the IEEE Conference on Control Technology and Applications, 2018


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