| Forecasting blast furnace gas production and demand through echo state neural network-based models: Pave the way to off-gas optimized management I Matino, S Dettori, V Colla, V Weber, S Salame Applied Energy 253, 113578, 2019 | 64 | 2019 |
| Efficient use of water resources in the steel industry V Colla, I Matino, TA Branca, B Fornai, L Romaniello, F Rosito Water 9 (11), 874, 2017 | 62 | 2017 |
| Residue valorization in the iron and steel industries: Sustainable solutions for a cleaner and more competitive future europe J Rieger, V Colla, I Matino, TA Branca, G Stubbe, A Panizza, C Brondi, ... Metals 11 (8), 1202, 2021 | 46 | 2021 |
| Renewable hydrogen production processes for the off-gas valorization in integrated steelworks through hydrogen intensified methane and methanol syntheses A Zaccara, A Petrucciani, I Matino, TA Branca, S Dettori, V Iannino, ... Metals 10 (11), 1535, 2020 | 44 | 2020 |
| Two innovative modelling approaches in order to forecast consumption of blast furnace gas by hot blast stoves I Matino, S Dettori, V Colla, V Weber, S Salame Energy Procedia 158, 4043-4048, 2019 | 33 | 2019 |
| Optimization of by-products reuse in the steel industry: valorization of secondary resources with a particular attention on their pelletization I Matino, V Colla, TA Branca, L Romaniello Waste and Biomass Valorization 8, 2569-2581, 2017 | 33 | 2017 |
| Electric energy consumption and environmental impact in unconventional EAF steelmaking scenarios I Matino, V Colla, S Baragiola Energy Procedia 105, 3636-3641, 2017 | 28 | 2017 |
| A Deep Learning-based approach for forecasting off-gas production and consumption in the blast furnace S Dettori, I Matino, V Colla, R Speets Neural Computing and Applications 34 (2), 911-923, 2022 | 27 | 2022 |
| Quantification of energy and environmental impacts in uncommon electric steelmaking scenarios to improve process sustainability I Matino, V Colla, S Baragiola Applied Energy 207, 543-552, 2017 | 27 | 2017 |
| Reservoir computing approaches applied to energy management in industry V Colla, I Matino, S Dettori, S Cateni, R Matino Engineering Applications of Neural Networks: 20th International Conference …, 2019 | 25 | 2019 |
| Integration of renewable hydrogen production in steelworks off-gases for the synthesis of methanol and methane M Bampaou, K Panopoulos, P Seferlis, S Voutetakis, I Matino, ... Energies 14 (10), 2904, 2021 | 24 | 2021 |
| Assessing the efficiency of the off-gas network management in integrated steelworks V Colla, I Matino, S Dettori, A Petrucciani, A Zaccara, V Weber, S Salame, ... Materiaux & Techniques 107 (1), 104, 2019 | 21 | 2019 |
| Process integration solutions for water networks in integrated steel making plants E Alcamisi, I Matino, V Colla, A Maddaloni, L Romaniello, F Rosito Chemical Engineering Transactions 45, 37-42, 2015 | 20 | 2015 |
| Deep echo state networks in industrial applications S Dettori, I Matino, V Colla, R Speets Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 …, 2020 | 16 | 2020 |
| Neural network-based modeling methodologies for energy transformation equipment in integrated steelworks processes S Dettori, I Matino, V Colla, V Weber, S Salame Energy Procedia 158, 4061-4066, 2019 | 16 | 2019 |
| Improving energy and resource efficiency of electric steelmaking through simulation tools and process data analyses V Colla, I Matino, F Cirilli, G Jochler, B Kleimt, H Rosemann, I Unamuno, ... Matériaux & Techniques 104 (6-7), 602, 2016 | 16 | 2016 |
| Process modelling and simulation of electric arc furnace steelmaking to allow prognostic evaluations of process environmental and energy impacts I Matino, E Alcamisi, V Colla, S Baragiola, P Moni Matériaux & Techniques 104 (1), 104, 2016 | 16 | 2016 |
| Simulation techniques for an efficient use of resources: an overview for the steelmaking field I Matino, V Colla, L Romaniello, F Rosito, L Portulano 2015 World Congress on Sustainable Technologies (WCST), 48-54, 2015 | 16 | 2015 |
| An integrated approach for industrial water systems optimal design GF Porzio, E Alcamisi, I Matino, V Colla Technical Proceedings of the 2014 NSTI Nanotechnology Conference and Expo …, 2014 | 15 | 2014 |
| Economic evaluation of renewable hydrogen integration into steelworks for the production of methanol and methane M Bampaou, K Panopoulos, P Seferlis, A Sasiain, S Haag, ... Energies 15 (13), 4650, 2022 | 14 | 2022 |
