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Fredrik Ahlgren
Fredrik Ahlgren
Senior Lecturer, PhD, Linnaeus University
Verifierad e-postadress på lnu.se - Startsida
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Energy and exergy analysis of a cruise ship
F Baldi, F Ahlgren, TV Nguyen, M Thern, K Andersson
Energies 11 (10), 2508, 2018
1482018
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
1002016
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
992017
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), 011702, 2016
432016
Predicting dynamic fuel oil consumption on ships with automated machine learning
F Ahlgren, ME Mondejar, M Thern
Energy Procedia 158, 6126-6131, 2019
302019
Sentiment analysis of students’ feedback in MOOCs: A systematic literature review
F Dalipi, K Zdravkova, F Ahlgren
Frontiers in artificial intelligence 4, 728708, 2021
252021
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
182015
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
122016
Auto machine learning for predicting ship fuel consumption
F Ahlgren, M Thern
ECOS 2018-the 31st International Conference on Efficiency, Cost …, 2018
112018
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
92015
Dynasens: Dynamic scheduling for iot devices sustainability
N Maleki, A Musaddiq, D Toll, F Palma, T Olsson, D Mozart, M Omareen, ...
2022 International Conference on Broadband Communications for Next …, 2022
72022
A review on applications of machine learning in shipping sustainability
B Pena, L Huang, F Ahlgren
SNAME Maritime Convention, D043S019R001, 2020
72020
Fuel consumption prediction models based on machine learning and mathematical methods
X Xie, B Sun, X Li, T Olsson, N Maleki, F Ahlgren
Journal of Marine Science and Engineering 11 (4), 738, 2023
62023
MapReduce scheduling algorithms in Hadoop: a systematic study
S Hedayati, N Maleki, T Olsson, F Ahlgren, M Seyednezhad, ...
Journal of Cloud Computing 12 (1), 143, 2023
52023
Internet of things for wetland conservation using helium network: Experience and analysis
A Musaddiq, N Maleki, F Palma, D Mozart, T Olsson, M Omareen, ...
Proceedings of the 12th International Conference on the Internet of Things …, 2022
52022
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
52018
Investigating the linguistic design quality of public, partner, and private rest apis
F Palma, T Olsson, A Wingkvist, F Ahlgren, D Toll
2022 IEEE International Conference on Services Computing (SCC), 20-30, 2022
42022
Reinforcement-Learning-Based Routing and Resource Management for Internet of Things Environments: Theoretical Perspective and Challenges
A Musaddiq, T Olsson, F Ahlgren
Sensors 23 (19), 8263, 2023
32023
Persis: A persian font recognition pipeline using convolutional neural networks
M Mohammadian, N Maleki, T Olsson, F Ahlgren
2022 12th International Conference on Computer and Knowledge Engineering …, 2022
32022
Reducing ships' fuel consumption and emissions by learning from data
F Ahlgren
Linnaeus University Press, 2018
32018
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Artiklar 1–20