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Andrea Pozzi
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2020 – today
- 2024
- [j11]Federico Castelletti
, Fabrizio Niro, Marco Denti, Daniele Tessera
Bayesian Learning of Causal Networks for Unsupervised Fault Diagnosis in Distributed Energy Systems. IEEE Access 12: 61185-61197 (2024) - [j10]Silvana Matrone
Deep Learning-Based Predictive Control for Optimal Battery Management in Microgrids. IEEE Access 12: 141580-141593 (2024) - [c9]Jorge Espin, Dong Zhang, Daniele Toti, Andrea Pozzi:
Deep-MPC: A DAGGER-Driven Imitation Learning Strategy for Optimal Constrained Battery Charging. ACC 2024: 2224-2229 - [i6]Jorge Espin, Dong Zhang
Deep-MPC: A DAGGER-Driven Imitation Learning Strategy for Optimal Constrained Battery Charging. CoRR abs/2406.15985 (2024) - 2023
- [j9]Andrea Pozzi
Imitation Learning for Agnostic Battery Charging: A DAGGER-Based Approach. IEEE Access 11: 115190-115203 (2023) - [j8]Enrico Barbierato
Controlling Bias Between Categorical Attributes in Datasets: A Two-Step Optimization Algorithm Leveraging Structural Equation Modeling. IEEE Access 11: 115493-115510 (2023) - [j7]Anne F. de Baas
Review and Alignment of Domain-Level Ontologies for Materials Science. IEEE Access 11: 120372-120401 (2023) - [j6]Pierluigi Del Nostro
Modeling experts, knowledge providers and expertise in Materials Modeling: MAEO as an application ontology of EMMO's ecosystem. Appl. Ontology 18(2): 99-118 (2023) - [j5]Andrea Pozzi
A deep learning-based predictive controller for the optimal charging of a lithium-ion cell with non-measurable states. Comput. Chem. Eng. 173: 108222 (2023) - [j4]Andrea Pozzi
Cryptoblend: An AI-Powered Tool for Aggregation and Summarization of Cryptocurrency News. Informatics 10(1): 5 (2023) - [j3]Andrea Pozzi
Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters. Sensors 23(9): 4404 (2023) - 2022
- [j2]Andrea Pozzi
Lexicographic model predictive control strategy in ageing-aware optimal charging procedure for lithium-ion batteries. Comput. Chem. Eng. 163: 107847 (2022) - [c8]Andrea Pozzi, Scott J. Moura, Daniele Toti:
Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics. CCTA 2022: 785-790 - [c7]Andrea Pozzi, Scott J. Moura, Daniele Toti
A Neural Network-Based Approximation of Model Predictive Control for a Lithium-Ion Battery with Electro-Thermal Dynamics. ICCA 2022: 160-165 - 2021
- [c6]Behrouz Zoghdar-Moghadam-Shahrekohne, Andrea Pozzi, Davide Martino Raimondo:
SOS-based Stability Region Enlargement of Bilinear Power Converters through Model Predictive Control. MED 2021: 847-854 - 2020
- [j1]Andrea Pozzi
Balancing-Aware Charging Strategy for Series-Connected Lithium-Ion Cells: A Nonlinear Model Predictive Control Approach. IEEE Trans. Control. Syst. Technol. 28(5): 1862-1877 (2020) - [c5]Saehong Park, Andrea Pozzi, Michael Whitmeyer, Hector Eduardo Perez, Won Tae Joe, Davide Martino Raimondo, Scott J. Moura:
Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries. CCTA 2020: 100-107 - [c4]Andrea Pozzi, Sangjae Bae, Yongkeun Choi, Francesco Borrelli
Ecological Velocity Planning through Signalized Intersections: A Deep Reinforcement Learning Approach. CDC 2020: 245-252 - [i5]Saehong Park, Andrea Pozzi, Michael Whitmeyer, Won Tae Joe, Davide Martino Raimondo, Scott J. Moura:
Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries. CoRR abs/2002.02060 (2020) - [i4]Andrea Pozzi, Xiangzhong Xie, Davide Martino Raimondo, René Schenkendorf:
Global Sensitivity Methods for Design of Experiments in Lithium-ion Battery Context. CoRR abs/2004.09668 (2020)
2010 – 2019
- 2019
- [i3]Andrea Pozzi, Massimo Zambelli, Antonella Ferrara, Davide Martino Raimondo:
Balancing-Aware Charging Strategy For Series-Connected Lithium-Ion Cells: A Nonlinear Model Predictive Control Approach. CoRR abs/1902.02122 (2019) - [i2]Andrea Pozzi, Marcello Torchio, Richard D. Braatz, Davide Martino Raimondo:
Optimal Charging of an Electric Vehicle Battery Pack: A Real-Time Sensitivity-Based MPC approach. CoRR abs/1909.12361 (2019) - 2018
- [c3]Andrea Pozzi, Marcello Torchio, Davide Martino Raimondo:
Assessing the Performance of Model-Based Energy Saving Charging Strategies in Li-Ion Cells. CCTA 2018: 806-811 - [c2]Andrea Pozzi, Gabriele Ciaramella
Optimal Design of Experiment for Parameter Estimation of a Single Particle Model for Lithiumion Batteries. CDC 2018: 6482-6487 - [c1]Andrea Pozzi, Marcello Torchio, Davide Martino Raimondo:
Film growth minimization in a Li-ion cell: a Pseudo Two Dimensional model-based optimal charging approach. ECC 2018: 1753-1758 - [i1]Andrea Pozzi, Gabriele Ciaramella, Stefan Volkwein, Davide Martino Raimondo:
Optimal design of experiments for a lithium-ion cell: parameters identification of a single particle model with electrolyte dynamics. CoRR abs/1811.08656 (2018)
Coauthor Index
aka: Davide Martino Raimondo
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