| Applied machine learning: Forecasting heat load in district heating system S Idowu, S Saguna, C Åhlund, O Schelén Energy and Buildings 133, 478-488, 2016 | 257 | 2016 |
| Forecasting heat load for smart district heating systems: A machine learning approach S Idowu, S Saguna, C Åhlund, O Schelén 2014 IEEE international conference on smart grid communications …, 2014 | 68 | 2014 |
| Asset Management in Machine Learning: State-of-research and State-of-practice S Idowu, D Strüber, T Berger ACM Computing Surveys 55 (7), 1-35, 2022 | 42 | 2022 |
| Asset management in machine learning: A survey S Idowu, D Strüber, T Berger 2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021 | 38 | 2021 |
| Harvesting knowledge from computer mediated social networks OS Ogunseye, PK Adetiloye, SO Idowu, O Folorunso, AT Akinwale Vine 41 (3), 252-264, 2011 | 21 | 2011 |
| Machine learning in district heating system energy optimization S Idowu, C Åhlund, O Schelen 2014 IEEE International Conference on Pervasive Computing and Communication …, 2014 | 20 | 2014 |
| Emmm: A unified meta-model for tracking machine learning experiments S Idowu, D Strüber, T Berger 2022 48th Euromicro Conference on Software Engineering and Advanced …, 2022 | 15 | 2022 |
| A development framework for Smart City Services S Idowu, N Bari Lulea University Of Technology, Lulea, Sweden. Retrieved from http://ltu …, 2012 | 10 | 2012 |
| Machine learning in pervasive computing S Idowu, C Åhlund, O Schelén, R Brännström Luleå tekniska universitet, 2013 | 9 | 2013 |
| On the Effectiveness of Machine Learning Experiment Management Tools S Idowu, O Osman, D Strüber, T Berger 2022 IEEE/ACM 44th International Conference on Software Engineering …, 2022 | 6 | 2022 |
| A large-scale study of ml-related python projects S Idowu, Y Sens, T Berger, J Krüger, M Vierhauser Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 1272-1281, 2024 | 3 | 2024 |
| Machine learning experiment management tools: a mixed-methods empirical study S Idowu, O Osman, D Strüber, T Berger Empirical Software Engineering 29 (4), 1-35, 2024 | 2 | 2024 |
| NexTrend: Context-aware music-relay corridors using NFC tags S Idowu, DH Hagos, WB Tesfay, A Famurewa, J Rana, K Synnes 2013 Seventh International Conference on Innovative Mobile and Internet …, 2013 | 2 | 2013 |
| Towards Next-Gen Machine Learning Asset Management Tools SO Idowu | | 2023 |
| Applied Machine Learning in District Heating System SO Idowu Luleå University of Technology, 2018 | | 2018 |
| A Development Framework for Smart City Services: Integrating Smart City Service Components S Idowu, N Bari | | 2012 |
| 2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)| 978-1-6654-9590-5/22/$31.00© 2022 IEEE| DOI: 10.1109/ICSE … R Abreu, A Ahmad, H Ahn, Y Ahn, T Akomolede, S Alamir, P Alexander, ... | | |
| HOW TO OPTIMISE THE OVER PRODUCTION OF PV ELECTRICITY INTO THE GRID WITH THE IMPLEMENTATION OF ICT DEVICES THE ORPHEUS PROJECT F Meier, H Auer, D Schwabeneder, H Brunner, H Sawsan, D Basciotti, ... | | |
| Comparison of Machine Learning Approaches for Forecasting Building Heat Load in DHS S Idowu, S Saguna, C Åhlund, O Schelén | | |
Olov SchelénProfessor, Luleå University of Technology, Sweden (CSEE/EISLAB/CPS)Verified email at ltu.se
