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Gabriele Comodi
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2020 – today
- 2023
- [c12]Marialaura Di Somma, Amedeo Buonanno
, Martina Caliano, Lingkang Jin
Stochastic energy management for the Italian UNIVPM campus as a multi-carrier energy hub participating in the day-ahead market. EUROCON 2023: 251-256 - [c11]C. Martinez-Ruedas, Lucio Ciabattoni, Gabriele Comodi, José María Flores Arias, Francisco José Bellido Outeiriño:
Development of a Customisable Hardware Data Acquisition System Using Standardized Protocols. ICCE-Berlin 2023: 1-5 - 2022
- [c10]Lucio Ciabattoni, Gabriele Comodi, Enrico Marchegiani, Antonio Sabatelli:
A Gamification Approach For Residential Electricity Demand Decarbonization. GEM 2022: 1-2 - [c9]Andrei Morch
Technologies enabling evolution of Integrated Local Energy Communities. ISC2 2022: 1-6 - 2020
- [j2]Lucio Ciabattoni, Gabriele Comodi, Francesco Ferracuti, Gabriele Foresi:
AI-Powered Home Electrical Appliances as Enabler of Demand-Side Flexibility. IEEE Consumer Electron. Mag. 9(3): 72-78 (2020) - [c8]Lucio Ciabattoni, Gabriele Comodi, Francesco Ferracuti, Gabriele Foresi:
A Methodology to Enable Electric Boiler as a Storage for Residential Energy Management. ICCE 2020: 1-2
2010 – 2019
- 2019
- [c7]Andrea Bartolini
A Matheuristic for the Design and Management of Multi-energy Systems. ICORES (Selected Papers) 2019: 171-188 - [c6]Andrea Bartolini, Gabriele Comodi, Fabrizio Marinelli, Andrea Pizzuti
A Matheuristic Approach for Resource Scheduling and Design of a Multi-energy System. ICORES 2019: 451-458 - 2017
- [c5]Marco Fagiani, Marco Severini, Stefano Squartini
A new open-source Energy Management framework: Functional description and preliminary results. CEC 2017: 1207-1214 - 2015
- [j1]Lucio Ciabattoni, Gabriele Comodi
Multi-apartment residential microgrid monitoring system based on kernel canonical variate analysis. Neurocomputing 170: 306-317 (2015) - 2014
- [c4]Martin Macas, Fabio Moretti
Importance of Feature Selection for Recurrent Neural Network Based Forecasting of Building Thermal Comfort. ICAIS 2014: 11-19 - [c3]Andrea Giantomassi, Francesco Ferracuti
Kernel canonical variate analysis based management system for monitoring and diagnosing smart homes. IJCNN 2014: 1432-1439 - [c2]Andrea Giantomassi, Francesco Ferracuti
Smart home heating system malfunction and bad behavior diagnosis by Multi-Scale PCA under indoor temperature feedback control. MED 2014: 876-881 - [c1]Martin Macas
Sensitivity Based Feature Selection for Recurrent Neural Network Applied to Forecasting of Heating Gas Consumption. SOCO-CISIS-ICEUTE 2014: 259-268
Coauthor Index
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