| Energy and exergy analysis of a cruise ship F Baldi, F Ahlgren, TV Nguyen, M Thern, K Andersson Energies 11 (10), 2508, 2018 | 110 | 2018 |
| Quasi-steady state simulation of an organic Rankine cycle for waste heat recovery in a passenger vessel ME Mondejar, F Ahlgren, M Thern, M Genrup Applied Energy 185, 1324-1335, 2017 | 81 | 2017 |
| Optimal load allocation of complex ship power plants F Baldi, F Ahlgren, F Melino, C Gabrielii, K Andersson Energy Conversion and Management 124, 344-356, 2016 | 79 | 2016 |
| Waste heat recovery in a cruise vessel in the Baltic Sea by using an Organic Rankine Cycle: A case study F Ahlgren, ME Mondejar, M Genrup, M Thern Journal of Engineering for Gas Turbines and Power 138 (1), 2016 | 35 | 2016 |
| Waste heat recovery in a cruise vessel in the Baltic Sea by using an organic Rankine cycle: a case study F Ahlgren, ME Mondejar, M Genrup, M Thern Turbo Expo: Power for Land, Sea, and Air 56673, V003T06A018, 2015 | 15 | 2015 |
| Predicting dynamic fuel oil consumption on ships with automated machine learning F Ahlgren, ME Mondejar, M Thern Energy Procedia 158, 6126-6131, 2019 | 14 | 2019 |
| Auto machine learning for predicting ship fuel consumption F Ahlgren, M Thern ECOS 2018-the 31st International Conference on Efficiency, Cost …, 2018 | 8 | 2018 |
| The application of process integration to the optimisation of cruise ship energy systems: a case study F Baldi, TV Nguyen, F Ahlgren 29th International Conference on Efficiency, Cost, Optimization, Simulation …, 2016 | 8 | 2016 |
| Study of the on-route operation of a waste heat recovery system in a passenger vessel ME Mondejar, F Ahlgren, M Thern, M Genrup Energy Procedia 75, 1646-1653, 2015 | 8 | 2015 |
| A review on applications of machine learning in shipping sustainability B Pena, L Huang, F Ahlgren SNAME Maritime Convention, 2020 | 5 | 2020 |
| Energy Integration of Organic Rankine Cycle, Exhaust Gas Recirculation and Scrubber F Ahlgren, M Thern, M Genrup, ME Mondejar Trends and Challenges in Maritime Energy Management, 157-168, 2018 | 4 | 2018 |
| Reducing ships' fuel consumption and emissions by learning from data F Ahlgren Linnaeus University Press, 2018 | 3 | 2018 |
| Sentiment Analysis of Students’ Feedback in MOOCs: A Systematic Literature Review F Dalipi, K Zdravkova, F Ahlgren Frontiers in Artificial Intelligence 4, 2021 | 1 | 2021 |
| A social sustainability perspective on an environmental intervention to reduce ship emissions F Ahlgren, C Österman 47th Annual Nordic Ergonomics Society Conference Creating Sustainable Work …, 2015 | 1 | 2015 |
| Predicting Dynamic Fuel Oil Consumption on Ships with Automated Machine Learning MT Fredrik Ahlgren, Maria E. Mondejar 10th International Conference on Applied Energy (ICAE2018), 22-25 August …, 2018 | | 2018 |
| Waste heat recovery in a cruise vessel F Ahlgren Linnaeus Universtity, 2016 | | 2016 |
| Gasens inverkan på oljan i ett hydrauliksystem F Ahlgren, K Ahlgren | | 2009 |
Marcus ThernLund universityVerifierad e-postadress på energy.lth.se
