Nils Jakob Johannesen | Universitetet i Stavanger

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Organisasjonsenhet

Det teknisk- naturvitenskapelige fakultet

Institutt for data- og elektroteknologi

Kort om meg

Underviser, veileder og forsker. Underviser emner innen elektriske kraftsystemer, elektriske maskiner og systemdrift og vern.

Jeg har en doktorgrad fra Universitetet i Agder i applikert maskinlæring i elkraftsystemer. Siden 2022 har jeg vært ansatt ved Universitetet i Sør-Øst Norge, hvor jeg nå er programkoordinator for Elkraft og Bærekraftig Energi. Jeg har tidligere hatt bistillinger ved Universitetet i Agder og Universitetet i Tromsø.

Jeg har fullført kurs og har 10 studiepoeng i universitetspedagogikk UHULV-1 23H Undervisning, læring og vurdering i høyere utdanning fra Universitetet i Sør-Øst Norge høsten 2023.

Dette forsker jeg på

Forskningsområder:

datadrevne modeller, maskinlæring (ML) og kunstig intelligens (KI/AI)
måle- og overvåkningssystemer, inkl. datainnsamling/kvalitet/analyse
korrelasjonsanalyse (sol og vind)
prediktivt vedlikehold i industrien

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Publikasjoner

Vitenskapelige publikasjoner

Oleksandra Ishchenko; Le Nam Hai Pham; Carlos F. Pfeiffer; Nils Jakob Johannesen (2025) Leveraging Quasi-Dynamic Grid Analysis of Industrial Loads: A 132 kV Norwegian Case Study. I: IEEE, 2025 10th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE. ISBN 9789532901429. s.1-6. DOI: 10.23919/splitech65624.2025.11091785

Amrit Chapagain; Emil Ghieh Melfald; Nils Jakob Johannesen; Bishal Silwal (2025) Comparative Analysis of Machine Learning Techniques for Detection and Classification of Stator Winding Fault. I: . IEEE, 2024 IEEE International Conference on Power System Technology (PowerCon): 4-6 Nov. 2024. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9798350351286. s.1-5. DOI: 10.1109/PowerCon60995.2024.10870525

Oleksandra Ishchenko; Anatolii Zamulko; Carlos Pfeiffer; Nils Jakob Johannesen (2025) Barriers and opportunities for Demand Response Aggregation in Ukraine and Norway: A Delphi-based study. I: Energy. ISSN 0360-5442. Volum 328. s.1-9. DOI: 10.1016/j.energy.2025.136296

Svein Olav Glesaaen Nyberg; Nils Jakob Johannesen (2024) Time Series Modelling for Risk Analysis in Frequency Containment Reserves Market. I: . SpliTech 2024, 2024 9th International Conference on Smart and Sustainable Technologies - SpliTech. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9789532901351. DOI: 10.23919/SpliTech61897.2024.10612675

Alf-Kristian Fladby; Nils Jakob Johannesen (2024) Comparison of Dimensional Reduction Methods for Predictive Analysis of Railway System Data. I: . SpliTech 2024, 2024 9th International Conference on Smart and Sustainable Technologies - SpliTech. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9789532901351. DOI: 10.23919/SpliTech61897.2024.10612449

Oleksandra Ishchenko; Nils Jakob Johannesen (2024) Leveraging the Delphi Method for Demand Response Aggregation in the Energy Market. I: . SpliTech 2024, 2024 9th International Conference on Smart and Sustainable Technologies - SpliTech. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9789532901351. DOI: 10.23919/SpliTech61897.2024.10612435

Amrit Chapagain; Emil Ghieh Melfald; Nils Jakob Johannesen; Bishal Silwald (2024) Analysis of Single Phase to Ground Fault in Synchronous Generator Using Ansys Co-Simulation. I: . SpliTech 2024, 2024 9th International Conference on Smart and Sustainable Technologies - SpliTech. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9789532901351. DOI: 10.23919/SpliTech61897.2024.10612476

Alf-Kristian Fladby; Nils Jakob Johannesen (2024) Semi-systematic review of the feasibility for predictive analysis of railway power supply and electrical trains. I: . SpliTech 2024, 2024 9th International Conference on Smart and Sustainable Technologies - SpliTech. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9789532901351. DOI: 10.23919/SpliTech61897.2024.10612555

Nils Jakob Johannesen; Mohan Lal Kolhe; Andreas Dolven Jacobsen (2023) Correlation Analysis of Potential Solar Photovoltaic Power Plant Integration at Wind Farm with Grid Connection Limits. I: XX XX, 2023 8th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE Press. ISBN 9798350323207. s.1-6. DOI: 10.23919/SpliTech58164.2023.10193149

Nils Jakob Johannesen; Mohan Lal Kolhe; Morten Goodwin (2023) Vertical Approach Anomaly Detection Using Local Outlier Factor. I: Hassan Haes Alhelou; Nikos Hatziargyriou; Zhao Yang Dong, Power Systems Cybersecurity Methods, Concepts, and Best Practices. Springer. ISBN 9783031203602. s.297-310. DOI: 10.1007/978-3-031-20360-2_12

Nils Jakob Johannesen; Mohan Lal Kolhe; Morten Goodwin (2022) Machine Learning Applications for Load Predictions in Electrical Energy Network. Universitetet i Agder. ISBN 9788284270869.

Nils Jakob Johannesen; Mohan Lal Kolhe; Morten Goodwin (2022) Recurrent neural networks for electrical load forecasting to use in demand response. I: Hassan Haes Alhelou; Antonio Moreno-Muñoz; Pierluigi Siano, Industrial Demand Response: Methods, best practices, case studies, and applications. IET Digital Library. ISBN 9781839535628. s.41-58. DOI: 10.1049/PBPO215E_ch3

Nils Jakob Johannesen; Mohan Lal Kolhe; Morten Goodwin (2022) Load prediction of rural area Nordic holiday resorts for microgrid development. I: Sanjeevikumar Padmanaban; P. Sivaraman; C. Sharmeela; Jens Bo Holm-Nielsen, Residential Microgrids and Rural Electrifications. Academic Press. ISBN 9780323901772. s.163-181. DOI: 10.1016/B978-0-323-90177-2.00005-0

Nils Jakob Johannesen; Mohan Lal Kolhe; Morten Goodwin (2022) Evaluating Anomaly Detection Algorithms through different Grid scenarios using k-Nearest Neighbor, iforest and Local Outlier Factor. I: NN NN, 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781665488280. DOI: 10.23919/SpliTech55088.2022.9854355

Nils Jakob Johannesen; Mohan Lal Kolhe (2021) Application of Regression Tools for Load Prediction in Distributed Network for Flexible Analysis. I: Hassan Haes Alhelou; Ehsan Heydarian-Forushani; Pierluigi Siano, Flexibility in Electric Power Distribution Networks. CRC Press. ISBN 9781003122326. s.67-94. DOI: 10.1201/9781003122326

Nils Jakob Johannesen; Mohan Lal Kolhe; Morten Goodwin (2021) Comparing recurrent neural networks using principal component analysis for electrical load predictions. I: . SpliTech2021, 2021 6th International Conference on Smart and Sustainable Technologies - SpliTech. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9789532901122. DOI: 10.23919/SpliTech52315.2021.9566357

Nils Jakob Johannesen; Mohan Lal Kolhe; Morten Goodwin (2020) Smart load prediction analysis for distributed power network of Holiday Cabins in Norwegian rural area. I: Journal of Cleaner Production. ISSN 0959-6526. Volum 266. DOI: 10.1016/j.jclepro.2020.121423

Nils Jakob Johannesen; Mohan Lal Kolhe; Morten Goodwin (2019) Deregulated Electric Energy Price Forecasting in NordPool Market using Regression Techniques. I: NN NN, 2019 IEEE Sustainable Power and Energy Conference (iSPEC). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781728149318. s.1932-1938. DOI: 10.1109/iSPEC48194.2019.8975173

Nils Jakob Johannesen; Mohan Lal Kolhe; Morten Goodwin (2019) Relative evaluation of regression tools for urban area electrical energy demand forecasting. I: Journal of Cleaner Production. ISSN 0959-6526. Volum 218. s.555-564. DOI: 10.1016/j.jclepro.2019.01.108

Nils Jakob Johannesen; Mohan Lal Kolhe; Morten Goodwin (2019) Load Demand Analysis of Nordic Rural Area with Holiday Resorts for Network Capacity Planning. I: Toni Perković, 2019 4thInternational Conference on Smart and Sustainable Technologies(SpliTech). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9789532900910. DOI: 10.23919/SpliTech.2019.8783029

Nils Jakob Johannesen; Mohan Lal Kolhe; Morten Goodwin (2018) Comparison of Regression Tools for Regional Electric Load Forecasting. I: Toni Perković; Željka Milanović, 2018 3rd INTERNATIONAL CONFERENCE ON SMART AND SUSTAINABLE TECHNOLOGIES (SPLITECH) - IEEE. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9789532900835. s.304-309.

Formidling

Nils Jakob Johannesen (2023) Load Forecasting analysis in Power Distribution Networks and usefulness for Electricity Market. Data Science and Next Generation Communications in Electricity Networks; 2023-06-30.

Nils Jakob Johannesen; Mohan Lal Kolhe; Morten Goodwin (2018) Urban Area Load Forecasting using k-Nearest Neighbour Regression Tool Considering Weather Parameters. Energy Systems Conference 2018; 2018-06-19 - 2018-06-20.

Kilde: Nasjonalt vitenarkiv