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Riccardo Bonetto - IEEE Xplore Author Profile
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Riccardo Bonetto

Publications
13
Citations
155
Publications by Year
20122022
Co-Authors:
Show All Co-Authors (21)
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Riccardo Bonetto

Affiliation

Deutsche Telekom Chair of Communication Networks, Technische Universität Dresden, Germany

Publication Topics

Biography

Riccardo Bonetto (M’16) received the master’s degree in computer engineering and the Ph.D. degree in information technology from the University of Padova, Padua, Italy, in 2011 and 2015, respectively. In 2014, he was a Visiting Ph.D. Student with the Royal Institute of Technology, Stockholm, Sweden. Since 2015, he has been a Post-Doctoral Fellow with the University of Padova, where he is currently a Post-Doctoral Fellow with the Department of Information Engineering. His research interests include optimization and machine learning techniques for the smart grids, smart cities, deep learning, natural language processing, and automatic anomaly detection.(Based on document published on 8 September 2017).
Publications
13
Citations
155
Publications by Year
20122022
Co-Authors:
Show All Co-Authors (21)
Author's Published Works

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Deep Learning-based Energy Optimization for Electric Vehicles Integrated Smart Micro Grid

Jiajing Zhang;Huanzhuo Wu;Riccardo Bassoli;Riccardo Bonetto;Frank H. P. Fitzek

ICC 2022 - IEEE International Conference on Communications
Year: 2022 | Conference Paper |
Cited by: Papers (3)
Applying renewable energy in a smart micro grid (MG) is increasingly receiving attention to reduce greenhouse gas emissions. However, the mismatch between supply and demand hinders the realization of this process. With the widespread use of plug-in electric vehicles (EVs) and the development of emerging mobile edge cloud (MEC), intelligent energy optimization becomes a way to address the challenge...Show More

Deep Learning-based Energy Optimization for Electric Vehicles Integrated Smart Micro Grid

Jiajing Zhang;Huanzhuo Wu;Riccardo Bassoli;Riccardo Bonetto;Frank H. P. Fitzek

Year: 2022 | Conference Paper |

Smart Grids for Smarter Cities

Riccardo Bonetto;Ilya Sychev;Oleksandr Zhdanenko;Abdelrahman Abdelkader;Frank H.P. Fitzek

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)
Year: 2020 | Conference Paper |
Cited by: Papers (8)
Here we show how, based on 5G-enabled technologies, a connected power distribution grid can be split into self sufficient islands integrating self driving electric vehicles (EVs). End users form self sufficient (from the energy demand point of view) clusters called virtual power plants (VPPs), and EVs serve as energy delivery devices between different VPPs. Moreover, we show how phase-to-ground fa...Show More

Smart Grids for Smarter Cities

Riccardo Bonetto;Ilya Sychev;Oleksandr Zhdanenko;Abdelrahman Abdelkader;Frank H.P. Fitzek

Year: 2020 | Conference Paper |

Closed Loop Benchmark for Timeseries Databases

Ilya Sychev;Abdelrahman Abdelkader;Wojciech Kozak;Riccardo Bonetto;Frank H. P. Fitzek

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
The ever-growing hunger for high quality, up to date, and efficient datasets to be used in data-driven models and control systems lead to the diffusion of a number of database management systems specifically tailored to support operations on timeseries: Timeseries Databases. We focus on the systematic performance assessment of some of the most popular TSDBs available. To this end, we developed a t...Show More

Closed Loop Benchmark for Timeseries Databases

Ilya Sychev;Abdelrahman Abdelkader;Wojciech Kozak;Riccardo Bonetto;Frank H. P. Fitzek

Year: 2020 | Conference Paper |

A Market Oriented, Reinforcement Learning Based Approach for Electric Vehicles Integration in Smart Micro Grids

Abdelrahman Abdelkader;Ilya Sychev;Riccardo Bonetto;Frank H. P. Fitzek

2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Year: 2019 | Conference Paper |
Cited by: Papers (3)
In an independent self-sustained micro grid (MG) with limited energy resources, plugged-in electric vehicles (EV) must compete for available excess power supply or demand, modeled as a random variable. This paper proposes a distributed machine learning algorithm based on a Markov decision process (MDP) and non-cooperative game theory, that maximizes the EV's profit under uncertainty of future MG s...Show More

A Market Oriented, Reinforcement Learning Based Approach for Electric Vehicles Integration in Smart Micro Grids

Abdelrahman Abdelkader;Ilya Sychev;Riccardo Bonetto;Frank H. P. Fitzek

Year: 2019 | Conference Paper |

ARIES: Low Voltage smArt gRid dIscrete Event Simulator to Enable Large Scale Learning in the Power Distribution Networks

Ilya Sychev;Oleksandr Zhdanenko;Riccardo Bonetto;Frank H. P. Fitzek

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
Accurate software based simulation of (complex) dynamic and, possibly, stochastic systems is a key component of the design and test of control strategies. Simulation tools developed according to software design best practices provide engineers and researchers with efficient and easy to use representations of the world. Hence, allowing for faster control algorithms design and test. Here we present ...Show More

ARIES: Low Voltage smArt gRid dIscrete Event Simulator to Enable Large Scale Learning in the Power Distribution Networks

Ilya Sychev;Oleksandr Zhdanenko;Riccardo Bonetto;Frank H. P. Fitzek

Year: 2018 | Conference Paper |

Power to the Future: Use Cases and Challenges for Mobile, Self Configuring, and Distributed Power Grids

Riccardo Bonetto;Ilya Sychev;Frank H. P. Fitzek

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Year: 2018 | Conference Paper |
Cited by: Papers (4)
Smart Cities are calling for a major innovation in many strategic infrastructures that shape the daily life of citizens. Arguably one of the most strategic and resilient to changes is the power transmission and distribution infrastructure. And yet, the power sector, together with the communication network infrastructure, are the major enablers of future smart cities.In this paper, we present three...Show More

Power to the Future: Use Cases and Challenges for Mobile, Self Configuring, and Distributed Power Grids

Riccardo Bonetto;Ilya Sychev;Frank H. P. Fitzek

Year: 2018 | Conference Paper |

A Bayesian forecasting and anomaly detection framework for vehicular monitoring networks

Maria Scalabrin;Matteo Gadaleta;Riccardo Bonetto;Michele Rossi

2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP)
Year: 2017 | Conference Paper |
Cited by: Papers (13)
In this paper, we are concerned with the automated and runtime analysis of vehicular data from large scale traffic monitoring networks. This problem is tackled through localized and small-size Bayesian networks (BNs), which are utilized to capture the spatio-temporal relationships underpinning traffic data from nearby road links. A dedicated BN is set up, trained, and tested for each road in the m...Show More

A Bayesian forecasting and anomaly detection framework for vehicular monitoring networks

Maria Scalabrin;Matteo Gadaleta;Riccardo Bonetto;Michele Rossi

Year: 2017 | Conference Paper |

Joint Optimal Pricing and Electrical Efficiency Enforcement for Rational Agents in Microgrids

Riccardo Bonetto;Michele Rossi;Stefano Tomasin;Carlo Fischione

IEEE Access
Year: 2017 | Volume: 5 | Journal Article |
Cited by: Papers (7)
In electrical distribution grids, the constantly increasing number of power generation devices based on renewables demands a transition from a centralized to a distributed generation paradigm. In fact, power injection from distributed energy resources (DERs) can be selectively controlled to achieve other objectives beyond supporting loads, such as the minimization of the power losses along the dis...Show More

Joint Optimal Pricing and Electrical Efficiency Enforcement for Rational Agents in Microgrids

Riccardo Bonetto;Michele Rossi;Stefano Tomasin;Carlo Fischione

Year: 2017 | Volume: 5 | Journal Article |

Parallel multi-step ahead power demand forecasting through NAR neural networks

Riccardo Bonetto;Michele Rossi

2016 IEEE International Conference on Smart Grid Communications (SmartGridComm)
Year: 2016 | Conference Paper |
Cited by: Papers (7)
We consider the problem of power demand forecasting in residential micro-grids. Previous approaches rely on ARMA models and, recently, on neural network architectures that are however solely used to perform one-step ahead predictions. Here, we propose an original forecasting technique based on non-linear, autoregressive (NAR) neural networks. Our architecture allows for parallel and efficient trai...Show More

Parallel multi-step ahead power demand forecasting through NAR neural networks

Riccardo Bonetto;Michele Rossi

Year: 2016 | Conference Paper |

On the Interplay of Distributed Power Loss Reduction and Communication in Low Voltage Microgrids

Riccardo Bonetto;Michele Rossi;Stefano Tomasin;Michele Zorzi

IEEE Transactions on Industrial Informatics
Year: 2016 | Volume: 12, Issue: 1 | Journal Article |
Cited by: Papers (13)
Distributed generators (DGs), coupled with suitable control and communication infrastructures, are expected to play a key role in improving the efficiency of electricity grids. In this paper, we focus on low-voltage and single-phase microgrids exploring the interplay of distributed power loss reduction and communication. We select representative power-loss reduction algorithms from the state of th...Show More

On the Interplay of Distributed Power Loss Reduction and Communication in Low Voltage Microgrids

Riccardo Bonetto;Michele Rossi;Stefano Tomasin;Michele Zorzi

Year: 2016 | Volume: 12, Issue: 1 | Journal Article |

When order matters: Communication scheduling for current injection control in micro grids

Riccardo Bonetto;Stefano Tomasin;Michele Rossi

2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
Year: 2015 | Conference Paper |
Cited by: Papers (4)
We consider a smart micro grid where multiple distributed energy sources (DESs) inject current to support loads and reduce power losses over the lines. Distributed current control algorithms rely on a communication infrastructure, to exchange control data among DESs. For stability purposes, a token ring approach is often implemented for the control, where at any given time a single node with commu...Show More

When order matters: Communication scheduling for current injection control in micro grids

Riccardo Bonetto;Stefano Tomasin;Michele Rossi

Year: 2015 | Conference Paper |

Lightweight energy management of islanded operated microgrids for prosumer communities

Riccardo Bonetto;Tommaso Caldognetto;Simone Buso;Michele Rossi;Stefano Tomasin;Paolo Tenti

2015 IEEE International Conference on Industrial Technology (ICIT)
Year: 2015 | Conference Paper |
Cited by: Papers (6)
We present and evaluate a lightweight and effective approach for the management of prosumer communities through the synergistic control of the power electronic converters acting therein. These controllable elements are the utility interface (UI), installed at the point of common coupling with the electrical utility, and the energy gateways (EGs), interfacing distributed generation units and energy...Show More

Lightweight energy management of islanded operated microgrids for prosumer communities

Riccardo Bonetto;Tommaso Caldognetto;Simone Buso;Michele Rossi;Stefano Tomasin;Paolo Tenti

Year: 2015 | Conference Paper |

Secure communication for smart IoT objects: Protocol stacks, use cases and practical examples

Riccardo Bonetto;Nicola Bui;Vishwas Lakkundi;Alexis Olivereau;Alexandru Serbanati;Michele Rossi

2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
Year: 2012 | Conference Paper |
In this paper we discuss security procedures for constrained IoT devices. We start with the description of a general security architecture along with its basic procedures, then discuss how its elements interact with the constrained communication stack and explore pros and cons of popular security approaches at various layers of the ISO/OSI model. We also discuss a practical example for the establi...Show More

Secure communication for smart IoT objects: Protocol stacks, use cases and practical examples

Riccardo Bonetto;Nicola Bui;Vishwas Lakkundi;Alexis Olivereau;Alexandru Serbanati;Michele Rossi

Year: 2012 | Conference Paper |

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