Jakob Hviid is currently a Senior Architect at Energinet in the Digitalization department. Jakob also works as an Assistant Professor at the University of Southern Denmark, where he teaches the Data Management and Big Data and Data Science Technologies courses and supervises master's and bachelor's projects. Jakob received his PhD in Software Engineering in 2019, working on applying IoT, Software, and Deployment strategies to further the adaptation of Demand Response technologies to support the transition to green energy. Currently, his research focuses on IT solutions for the green energy transition, scalable AI solutions, IoT and Data related middleware, Big Data, and Deployment strategies, thereby employing his previous experience from the industry.
For current status, please see LinkedIn.
[TBU]
For an up-to-date list please see Google Scholar, or Find Researcher at SDU. At the date of writing, these are the current publication list:
- Hviid, J., Johansen, A., Sangogboye, F. C., & Kjærgaard, M. B. (2022). OPM: An Ontology-Based Package Manager for Building Operating Systems. I 11th International Conference on the Internet of Things, IoT 2021 - Conference Proceedings (s. 118-125). Association for Computing Machinery. https://doi.org/10.1145/3494322.3494338
- Hviid, J., Johansen, A., Fierro, G., & Kjærgaard, M. B. (2022). Service Portability and Information Discovery in Building Operating Systems using Semantic Modeling. I 11th International Conference on the Internet of Things, IoT 2021 - Conference Proceedings (s. 110-117). Association for Computing Machinery. https://doi.org/10.1145/3494322.3494337
- Jepsen, S. C., Worm, T., Mørk, T. I., & Hviid, J. (2021). An analysis of asset interoperability for I4.0 middleware. I Proceedings of the 36th Annual ACM Symposium on Applied Computing, SAC 2021 (s. 707-710). Association for Computing Machinery. https://doi.org/10.1145/3412841.3442094
- Jepsen, S. C., Worm, T., Christensen, H. B., Hviid, J., & Sandig, L. M. (2021). Experience Report: A Systematic Process For Gathering Quality Attribute Requirements for Industry 4.0 Middleware. I 2021 IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW) (s. 166-175). IEEE. https://doi.org/10.1109/edocw52865.2021.00046
- Jepsen, S. C., Worm, T., Mork, T. I., & Hviid, J. (2021). Industry 4.0 Middleware Software Architecture Interoperability Analysis. I 2021 IEEE/ACM 3rd International Workshop on Software Engineering Research and Practices for the IoT (SERP4IoT) (s. 32-35). IEEE. https://doi.org/10.1109/SERP4IoT52556.2021.00012
- Jepsen, S. C., Mork, T. I., Hviid, J., & Worm, T. (2020). A pilot study of industry 4.0 asset interoperability challenges in an industry 4.0 laboratory. I 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (s. 571-575). IEEE. https://doi.org/10.1109/IEEM45057.2020.9309952
- Jradi, M., Foldager, H. E., Jeppesen, R. C., Hviid, J., Rasmussen, M. A., & Kjærgaard, M. B. (2020). Modeling and Performance Simulation of a Retail Store as a Smart Grid Ready Building. I V. Corrado, E. Fabrizio, A. Gasparella, & F. Patuzzi (red.), Proceedings of Building Simulation 2019: 16th IBPSA International conference and exhibition (s. 4070-4078). International Building Performance Simulation Association. Proceedings of the International Building Performance Simulation Association https://doi.org/10.26868/25222708.2019.210128
- Hviid, J. (2019). A Software Approach to Mitigating Barriers for Smart Grid Integration in the Retail Sector. [Ph.d.-afhandling, SDU]. Syddansk Universitet. Det Tekniske Fakultet. https://doi.org/10.21996/4mb1-ec75
- Hviid, J., Johansen, A., Sangogboye, F. C., & Kjærgaard, M. B. (2019). Enabling auto-configuring building services: The road to affordable portable applications for smart grid integration. I Proceedings of the 10th ACM International Conference on Future Energy Systems (s. 68-77). Association for Computing Machinery. https://doi.org/10.1145/3307772.3328288
- Hviid, J., & Kjærgaard, M. B. (2018). Activity-Tracking Service for Building Operating Systems. I 2018 IEEE International Conference on Pervasive Computing and Communications Workshops: PerCom Workshops (s. 854-859). IEEE Press. https://doi.org/10.1109/PERCOMW.2018.8480362
- Hviid, J., & Kjærgaard, M. B. (2018). Service Abstraction Layer for Building Operating Systems: Enabling portable applications and improving system resilience. I Proceedings of the 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (IEEE SmartGridComm'18) IEEE Press. https://doi.org/10.1109/SmartGridComm.2018.8587543
- Hviid, J., & Kjærgaard, M. B. (2018). The Retail Store as a Smart Grid Ready Building: Current Practice and Future Potentials. I Proceeding of the 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) (s. 1-5). IEEE Press. https://doi.org/10.1109/ISGT.2018.8403354
- Mehanovic, A., Rømer, E. S., Hviid, J., & Kjærgaard, M. B. (2016). Clustering and Visualisation of Electricity Data to identify Demand Response Opportunities: Poster Abstract. I Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments (s. 233-234). Association for Computing Machinery. https://doi.org/10.1145/2993422.2996403
- Hviid, J. (2019). A Software Approach to Mitigating Barriers for Smart Grid Integration in the Retail Sector. [PhD Thesis]. Independently Published. ISBN-13: 979-8870803661. https://www.amazon.de/-/en/Jakob-Hviid-PhD/dp/B0CPMNT9W1/
- Hviid, J. et al. (2023), Driving Towards Grid Balance. Energinet Website Publication. https://energinet.dk/media/jkwn4ekx/driving-towards-grid-balance.pdf
- About 1056 students taught and counting (last updated 2023)
- Big Data and Data Science Technologies (formerly Data Science) were built from scratch by Jakob Hviid and Fisayo Sangogboye in 2019. The course was originally 10 ECTS but was reduced to 5 ECTS in 2020. The course is a mix of lectures, exercises, and a project, which is defended orally. The course is taught in English. The course excels in proven high student satisfaction scores, topping at 3,95 of 4**.
- Data Management was built from scratch by Jakob Hviid in 2020. The course is a mix of lectures, exercises, and an oral exam. The course is taught in Danish. The course excels in proven high student satisfaction scores, topping at 3,72 of 4**.
- SI2-DM - Data Management, Spring 2024
- 5 ECTS, Bachelor 2. Semester, 181 students, Score TBD/4
- SM-BD-DST - Big Data and Data Science Technologies, Fall 2023
- 5 ECTS, Master 1. semester, 79 students, Score 3,7/4
- SI2-DM - Data Management, Spring 2023
- 5 ECTS, Bachelor 2. Semester, 128 students, Score 3,35/4
- SM-BD-DST - Big Data and Data Science Technologies, Fall 2022
- 5 ECTS, Master 1. Semester, 52 students, Score 3,95/4
- SI2-DM - Data Management, Spring 2022
- 5 ECTS, Bachelor 2. Semester, 106 students, Score 3,78/4
- SM-BD-DST - Big Data and Data Science Technologies, Fall 2021
- 10 ECTS, Master 1. Semester, ~70 students, Score 3,72/4
- SI2-VOPDM - Programming and Data Management, Spring 2021
- 10 ECTS, Bachelor 2. Semester, ~180 students, Score 3,41/4
- SM-BD-DST - Big Data and Data Science Technologies, Fall 2020
- 10 ECTS, Master 1. Semester, ~50 students, Score 3,55/4
- SI2-VOPDM - Programming and Data Management, Spring 2020
- 10 ECTS, Bachelor 2. Semester, ~160 students, Score 3,22/4
- SM-DSC - Data Science, Fall 2019
- 10 ECTS, Master 1. Semester, ~50 students, Score 2,95/4
- Project Supervision for Semester Projects, 2016-2019
- Bachelor 1. Semester, ~110 students
- Instructor with some teaching responsibility, Objected Oriented Programming, 2016-2019
- Bachelor 1. Semester, ~350 students
- Nicklas Marc Pedersen, M.Sc., Spring 2024
- Anders Høgh Sornboe, M.Sc., Spring 2024
- Marcus Adam Sørensen, M.Sc., Spring 2024
- Tjelle Kragelund Strøm, M.Sc., Spring 2024
- Michal Salaga, M.Sc., Spring 2024
- Alexander Piihl Falentin Hansen, M.Sc., Spring 2024
- Frederik Haagensen, M.Sc., Spring 2024
- Kasper Delaxson Sebastiampillai, M.Sc., Spring 2024
- Ásbjörn Skarphéðinsson, M.Sc., Spring 2024
- Juan Francisco Marín Vega, PhD, Industrial Supervision, Spring 2023, Innovationsfonden, [Thesis]
- Frederik Alexander Hounsvad, M.Sc., Industrial Supervision, Spring 2023
- Peter Andreas Brændgaard, M.Sc., Industrial Supervision, Spring 2023
- Oliver Lind Nordestgaard, M.Sc., Spring 2023
- Nicolai Emil Damm, M.Sc., Spring 2023
- Daniel Skjold Toft, M.Sc., Spring 2022
- Jens Hjort Schwee, PhD, Spring 2022, Innovationsfonden, [Thesis]
- Jacob Østergaard Nielsen, M.Sc., Spring 2022
- Jonas Støve Rasmussen, M.Sc., Spring 2022
- Thomas Finch Rasmussen, M.Sc., Spring 2022
- Mads Due Kristensen, M.Sc., Industrial Supervision, Spring 2022
- Kristian Kristiansen, M.Sc., Industrial Supervision, Spring 2022
- Oliver Lind Nordestgaard, B.Sc., Spring 2021
- Oliver Marco van Komen, B.Sc., Spring 2021
- Nicolai Christian Barnekov Gram, B.Sc., Spring 2021
- Frederik Ralskov Holm, M.Sc., Spring 2021
- Phillip Jacob Olsen, M.Sc., Spring 2021
- Kasper Schultz Davidsen, M.Sc., Spring 2021
- Emil Nielsen, M.Sc., Spring 2021
- Nikolaj Wolder Steenberg, M.Sc., Spring 2021
- Morten Abrahamsen Olesen, M.Sc., Spring 2021
- Mathias Brix, M.Sc., Industrial Supervision, Spring 2021
- Daniel Szenczi, M.Sc., Industrial Supervision, Spring 2021
- Morten Asmus Breum Nørgård, M.Sc., Industrial Supervision, Spring 2021
- Emil Stubbe Kolvig-Raun, M.Sc., Fall 2020
- Rasmus Bang Poulsen, B.Sc., Fall 2019
- Jens Hjort Schwee (SDU)
- Related Projects:
- Funded By: Innovationsfonden
- Type: Academic PhD
- My Role: Academic Co-Supervisor
- Juan Francisco Marin Vega (Esoft)
- Project: Automatic Image Enhancement for Real Estate (AIERE)
- Funded By: Innovationsfonden
- Type: Industrial PhD
- My Role: Industrial Supervisor
- Automatic Image Enhancement for Real Estate (AIERE)
- Funded By: Innovationsfonden
- FlexReStore (12413)
- Funded By: ForskEl, sponsored by Energinet (Now managed by EUDP)
- Data Driven Experts
- Funded By: EUDP (64019-0576)
- Smartgreen
- Funded By: European Regional Development Fund North Sea Region (EU Project)
- Coordicy
- Funded By: Innovationsfonden
- IoTStyring
- Regional Udvikling Vækstforum and The European Regional Development Fund (EU)
- IEA EBC - Annex 79
- Participation indirectly through PhD Supervision
- DI4IoE: Decentralized Intelligence for the Internet of Energy
- Year: 2024
- Submitted to: EU Horizon Call (HORIZON-CL4-2024-DATA-01-03)
- Status: Pending
- ConVA: Confidentiality and Confidence in Visual Analytics of Time-series Data
- Year: 2023
- Submitted to: DFF (Den Frie Forskningsfond)
- Status: Pending
- EVagent
- Year: 2023
- Submitted to: ElForsk
- Status: Rejected
- The next-generation predictive digital twins for offshore wind energy (Twin4Wind)
- Year: 2023
- Submitted to: EU Horizon Call (HORIZON-CL5-2023-D3-02)
- Status: Rejected
- BALANCER – Intelligent Energy-Aware Resource Balancing
- Year: 2023
- Submitted to: EU Horizon Call (HORIZON-CL4-2023-DATA-01-04)
- Status: Rejected
- Digital Energy Future (SecDef)
- Year: 2022
- Submitted to: EU Horizon Call (HORIZON-MSCA-DN-2022)
- Status: Rejected
- Scalable Teaching
- Year: 2020
- Funded By: SDU
- Status: Approved
- A future perspective on ancillary Services and the Green Energy Transition
- Location: Comet Meetings Louise, Place Stéphanie 20, 1050 Brussels
- Date: 2024-04-09
- Occasion: Speaker for the European Energy Research Alliance's "Research Meets Policy Conference"
- URL: EERA - JP ESI 2nd "Research meets Policy" Conference
- Keywords: Renewable Energy, Green Energy Transition, Ancillary Services, Demand Response, Policy, Energy Research
- Open Source as a means to drive the Green Energy Transition
- Location: Hindsgavl Slot, Middelfart, Denmark
- Date: 2024-03-19
- Occasion: Community of Practice for Open Source in the Energy Sector
- Keywords: Renewable Energy, Green Energy Transition, Community of Practice, Open Source, Energy Sector
- The Data Center's Role in the Transition to Renewables
- Location: Danish Technical University (DTU), Building 101, Anker Engelunds Vej 1, 2800 Kgs. Lyngby
- Date: 2024-02-20
- Occasion: End of Conference Keynote for the Data Cool Project
- Keywords: Renewable Energy, Data Centers, Green Energy Transition, Ancillary Services, Demand Response, Data Center Cooling, Data Center Energy Management
- University of Southern Denmark:
- Email: [email protected]
- Phone: +45 20668262
- Address: Campusvej 55, 5230 Odense M, Denmark
- Energinet:
- Email: [email protected]
- Phone: +45 20668262
- Address: Tonne Kjærsvej 65, 7000 Fredericia, Denmark
- Private:
- Email: [email protected]
- Phone: +45 20668262