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2020 – today
- 2022
[c12]Jiajing Zhang
, Huanzhuo Wu, Riccardo Bassoli, Riccardo Bonetto, Frank H. P. Fitzek:
Deep Learning-based Energy Optimization for Electric Vehicles Integrated Smart Micro Grid. ICC 2022: 2187-2193- 2020
- [c11]Riccardo Bonetto, Ilya Sychev, Oleksandr Zhdanenko, Abdelrahman Abdelkader, Frank H. P. Fitzek:
Smart Grids for Smarter Cities. CCNC 2020: 1-2 - [c10]Ilya Sychev, Abdelrahman Abdelkader, Wojciech Kozak, Riccardo Bonetto, Frank H. P. Fitzek:
Closed Loop Benchmark for Timeseries Databases. CCNC 2020: 1-6
2010 – 2019
- 2019
- [c9]Abdelrahman Abdelkader, Ilya Sychev, Riccardo Bonetto, Frank H. P. Fitzek:
A Market Oriented, Reinforcement Learning Based Approach for Electric Vehicles Integration in Smart Micro Grids. SmartGridComm 2019: 1-6 - [i4]Riccardo Bonetto, Mattia Soldan, Alberto Lanaro, Simone Milani, Michele Rossi:
Seq2Seq RNN based Gait Anomaly Detection from Smartphone Acquired Multimodal Motion Data. CoRR abs/1911.08608 (2019) - 2018
- [c8]Riccardo Bonetto, Ilya Sychev, Frank H. P. Fitzek:
Power to the Future: Use Cases and Challenges for Mobile, Self Configuring, and Distributed Power Grids. SmartGridComm 2018: 1-6 - [c7]Ilya Sychev, Oleksandr Zhdanenko, Riccardo Bonetto, Frank H. P. Fitzek:
ARIES: Low Voltage smArt gRid dIscrete Event Simulator to Enable Large Scale Learning in the Power Distribution Networks. SmartGridComm 2018: 1-6 - 2017
- [j2]Riccardo Bonetto, Michele Rossi, Stefano Tomasin, Carlo Fischione:
Joint Optimal Pricing and Electrical Efficiency Enforcement for Rational Agents in Microgrids. IEEE Access 5: 19782-19798 (2017) - [c6]Maria Scalabrin, Matteo Gadaleta, Riccardo Bonetto, Michele Rossi:
A Bayesian forecasting and anomaly detection framework for vehicular monitoring networks. MLSP 2017: 1-6 - [i3]Riccardo Bonetto, Michele Rossi, Stefano Tomasin, Carlo Fischione:
Joint Optimal Pricing and Electrical Efficiency Enforcement for Rational Agents in Micro Grids. CoRR abs/1706.09646 (2017) - [i2]Riccardo Bonetto, Michele Rossi:
Machine Learning Approaches to Energy Consumption Forecasting in Households. CoRR abs/1706.09648 (2017) - 2016
- [j1]Riccardo Bonetto, Michele Rossi, Stefano Tomasin, Michele Zorzi:
On the Interplay of Distributed Power Loss Reduction and Communication in Low Voltage Microgrids. IEEE Trans. Ind. Informatics 12(1): 322-337 (2016) - [c5]Riccardo Bonetto, Michele Rossi:
Parallel multi-step ahead power demand forecasting through NAR neural networks. SmartGridComm 2016: 314-319 - 2015
- [c4]Riccardo Bonetto, Tommaso Caldognetto, Simone Buso, Michele Rossi, Stefano Tomasin, Paolo Tenti:
Lightweight energy management of islanded operated microgrids for prosumer communities. ICIT 2015: 1323-1328 - [c3]Riccardo Bonetto, Stefano Tomasin, Michele Rossi:
When order matters: Communication scheduling for current injection control in micro grids. ISGT 2015: 1-5 - 2013
- [i1]Riccardo Bonetto, Stefano Tomasin, Michele Rossi:
Distributed Power Loss Minimization in Residential Micro Grids: a Communications Perspective. CoRR abs/1311.6949 (2013) - 2012
- [c2]Riccardo Bonetto, Nicola Bui, Michele Rossi, Michele Zorzi:
McMAC: a power efficient, short preamble multi-channel medium access control protocol for wireless sensor networks. SimuTools 2012: 383-390 - [c1]Riccardo Bonetto, Nicola Bui, Vishwas Lakkundi, Alexis Olivereau, Alexandru Serbanati, Michele Rossi:
Secure communication for smart IoT objects: Protocol stacks, use cases and practical examples. WOWMOM 2012: 1-7
Coauthor Index
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