Fredrik Ahlgren

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Coauteurs

Marcus ThernLund universityAdresse e-mail validée de energy.lth.se
Tobias OlssonLinneaus UniversityAdresse e-mail validée de lnu.se
Neda MalekiUniversity Lecturer @ Linnaeus University, Ph.D. in Computer EngineeringAdresse e-mail validée de lnu.se
Maria E. MondejarTechnical University of DenmarkAdresse e-mail validée de mek.dtu.dk
Magnus GenrupProfessor, Lund UniversityAdresse e-mail validée de energy.lth.se
Arslan MusaddiqLecturer, Department of Computer Science and Media Technology, Linnaeus UniversityAdresse e-mail validée de lnu.se
Francesco BaldiResearcher at ENEAAdresse e-mail validée de enea.it
karin anderssonprofessor emerita in maritime environmental science, Chalmers University of TechnologyAdresse e-mail validée de chalmers.se
Tuong-Van NguyenResearcherAdresse e-mail validée de epfl.ch
David MozartResearch engineer, Linnaeus UniversityAdresse e-mail validée de lnu.se
Fisnik DalipiAssociate professor, Linnaeus UniversityAdresse e-mail validée de lnu.se
Katerina ZdravkovaSs. Cyril and Methodius University in Skopje, Faculty of Computer Science and EngineeringAdresse e-mail validée de finki.ukim.mk
Francis Palma, PhDAssistant Professor, Linnaeus UniversityAdresse e-mail validée de lnu.se
Francesco MelinoResearcher at University of BolognaAdresse e-mail validée de unibo.it
Cecilia GabrieliiPhD, Senior Lecturer, Dep. of Shipping and Marine Technology, Chalmers University of TechnologyAdresse e-mail validée de chalmers.se
Marco ZennaroThe Abdus Salam International Centre for Theoretical PhysicsAdresse e-mail validée de ictp.it
Blanca PenaBPE TechnologiesAdresse e-mail validée de bpetechnologies.ca
Luofeng HuangSenior Lecturer (Associate Professor) at Cranfield UniversityAdresse e-mail validée de cranfield.ac.uk
Anna WingkvistLinnaeus UniversityAdresse e-mail validée de lnu.se
Jorge L. ZapicoLinnaeus UniversityAdresse e-mail validée de kth.se

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Fredrik Ahlgren

Senior Lecturer, PhD, Linnaeus University

Adresse e-mail validée de lnu.se - Page d'accueil

energy efficiency Maritime Marine Engineering ORC Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Energy and exergy analysis of a cruise ship F Baldi, F Ahlgren, TV Nguyen, M Thern, K Andersson Energies 11 (10), 2508, 2018	172	2018
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	113	2016
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	106	2017
Sentiment analysis of students’ feedback in MOOCs: A systematic literature review F Dalipi, K Zdravkova, F Ahlgren Frontiers in artificial intelligence 4, 728708, 2021	46	2021
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	44	2016
Predicting dynamic fuel oil consumption on ships with automated machine learning F Ahlgren, ME Mondejar, M Thern Energy Procedia 158, 6126-6131, 2019	39	2019
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	25	2023
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	20	2015
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	14	2023
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	14	2016
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	12	2023
Auto machine learning for predicting ship fuel consumption F Ahlgren, M Thern ECOS 2018-the 31st International Conference on Efficiency, Cost …, 2018	12	2018
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	9	2022
A review on applications of machine learning in shipping sustainability B Pena, L Huang, F Ahlgren SNAME Maritime Convention, D043S019R001, 2020	9	2020
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	9	2015
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	8	2022
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	8	2022
Future energy insights: Time-series and deep learning models for city load forecasting N Maleki, O Lundström, A Musaddiq, J Jeansson, T Olsson, F Ahlgren Applied Energy 374, 124067, 2024	7	2024
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	7	2022
Energy and exergy analysis of a cruise ship. Energies 11 (10): 2508 F Baldi, F Ahlgren, TV Nguyen, M Thern, K Andersson	6	2018

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