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Jakob Hviid
Person information
- affiliation: University of Southern Denmark, Odense, Denmark
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2020 – today
- 2021
- [c11]Sune Chung Jepsen, Torben Worm, Henrik Bærbak Christensen, Jakob Hviid, Lars Märcher Sandig:
Experience Report: A Systematic Process For Gathering Quality Attribute Requirements for Industry 4.0 Middleware. EDOC Workshops 2021: 166-175 - [c10]Jakob Hviid, Aslak Johansen, Gabe Fierro, Mikkel Baun Kjærgaard:
Service Portability and Information Discovery in Building Operating Systems using Semantic Modeling. IOT 2021: 110-117 - [c9]Jakob Hviid, Aslak Johansen, Fisayo Caleb Sangogboye, Mikkel Baun Kjærgaard:
OPM: An Ontology-Based Package Manager for Building Operating Systems. IOT 2021: 118-125 - [c8]Sune Chung Jepsen, Torben Worm, Thomas Ingemann Mørk, Jakob Hviid:
An analysis of asset interoperability for I4.0 middleware. SAC 2021: 707-710 - [c7]Sune Chung Jepsen, Torben Worm, Thomas Ingemann Mørk, Jakob Hviid:
Industry 4.0 Middleware Software Architecture Interoperability Analysis. SERP4IoT 2021: 32-35 - 2020
- [c6]Sune Chung Jepsen, Thomas Ingemann Mørk, Jakob Hviid, Torben Worm:
A Pilot Study of Industry 4.0 Asset Interoperability Challenges in an Industry 4.0 Laboratory. IEEM 2020: 571-575
2010 – 2019
- 2019
- [c5]Jakob Hviid, Aslak Johansen, Fisayo Caleb Sangogboye, Mikkel Baun Kjærgaard:
Enabling Auto-Configuring Building Services: The Road to Affordable Portable Applications for Smart Grid Integration. e-Energy 2019: 68-77 - 2018
- [c4]Jakob Hviid, Mikkel Baun Kjærgaard:
The retail store as a smart grid ready building: Current practice and future potentials. ISGT 2018: 1-5 - [c3]Jakob Hviid, Mikkel Baun Kjærgaard:
Activity-Tracking Service For Building Operating Systems. PerCom Workshops 2018: 854-859 - [c2]Jakob Hviid, Mikkel Baun Kjærgaard:
Service Abstraction Layer for Building Operating Systems: Enabling portable applications and improving system resilience. SmartGridComm 2018: 1-6 - 2016
- [c1]Almir Mehanovic, Emil Sebastian Rømer, Jakob Hviid, Mikkel Baun Kjærgaard:
Clustering and Visualisation of Electricity Data to identify Demand Response Opportunities: Poster Abstract. BuildSys 2016: 233-234
Coauthor Index
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