Nils Jakob Johannesen | University of Stavanger

Contact

Department

Faculty of Science and Technology

Department of Electrical Engineering and Computer Science

About me

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.

My research

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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Publications

Vitenskapelige publikasjoner

Chapagain, Amrit; Melfald, Emil Ghieh; Johannesen, Nils Jakob; Silwal, Bishal

(2025)

Comparative Analysis of Machine Learning Techniques for Detection and Classification of Stator Winding Fault.

IEEE Electrical Power & Energy Conference.

ISSN 2473-2095.

DOI: 10.1109/PowerCon60995.2024.10870525

Johannesen, Nils Jakob; Pfeiffer, Carlos; Ishchenko, Oleksandra; Zamulko, Anatolii

(2025)

Barriers and opportunities for Demand Response Aggregation in Ukraine and Norway: A Delphi-based study.

Energy.

ISSN 0360-5442.

Volum 328.

DOI: 10.1016/j.energy.2025.136296

Fladby, Alf-Kristian; Johannesen, Nils Jakob

(2024)

Semi-systematic review of the feasibility for predictive analysis of railway power supply and electrical trains. I: 2024 9th International Conference on Smart and Sustainable Technologies - SpliTech.

IEEE (Institute of Electrical and Electronics Engineers).

ISBN 978-953-290-135-1.

DOI: 10.23919/SpliTech61897.2024.10612555

Ishchenko, Oleksandra; Johannesen, Nils Jakob

(2024)

Leveraging the Delphi Method for Demand Response Aggregation in the Energy Market. I: 2024 9th International Conference on Smart and Sustainable Technologies - SpliTech.

IEEE (Institute of Electrical and Electronics Engineers).

ISBN 978-953-290-135-1.

DOI: 10.23919/SpliTech61897.2024.10612435

Nyberg, Svein Olav Glesaaen; Johannesen, Nils Jakob

(2024)

Time Series Modelling for Risk Analysis in Frequency Containment Reserves Market. I: 2024 9th International Conference on Smart and Sustainable Technologies - SpliTech.

IEEE (Institute of Electrical and Electronics Engineers).

ISBN 978-953-290-135-1.

DOI: 10.23919/SpliTech61897.2024.10612675

Fladby, Alf-Kristian; Johannesen, Nils Jakob

(2024)

Comparison of Dimensional Reduction Methods for Predictive Analysis of Railway System Data. I: 2024 9th International Conference on Smart and Sustainable Technologies - SpliTech.

IEEE (Institute of Electrical and Electronics Engineers).

ISBN 978-953-290-135-1.

DOI: 10.23919/SpliTech61897.2024.10612449

Chapagain, Amrit; Melfald, Emil Ghieh; Johannesen, Nils Jakob; Silwald, Bishal

(2024)

Analysis of Single Phase to Ground Fault in Synchronous Generator Using Ansys Co-Simulation. I: 2024 9th International Conference on Smart and Sustainable Technologies - SpliTech.

IEEE (Institute of Electrical and Electronics Engineers).

ISBN 978-953-290-135-1.

DOI: 10.23919/SpliTech61897.2024.10612476

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

(2023)

Vertical Approach Anomaly Detection Using Local Outlier Factor. I: Power Systems Cybersecurity Methods, Concepts, and Best Practices.

Springer.

ISBN 978-3-031-20360-2.

s.297-310.

DOI: 10.1007/978-3-031-20360-2_12

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Jacobsen, Andreas Dolven

(2023)

Correlation Analysis of Potential Solar Photovoltaic Power Plant Integration at Wind Farm with Grid Connection Limits. I: 2023 8th International Conference on Smart and Sustainable Technologies (SpliTech).

IEEE Press.

ISBN 979-83-503-2320-7.

s.1-6.

DOI: 10.23919/SpliTech58164.2023.10193149

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

(2022)

Load prediction of rural area Nordic holiday resorts for microgrid development. I: Residential Microgrids and Rural Electrifications.

Academic Press.

ISBN 978-0-323-90177-2.

s.163-181.

DOI: 10.1016/B978-0-323-90177-2.00005-0

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

(2022)

Evaluating Anomaly Detection Algorithms through different Grid scenarios using k-Nearest Neighbor, iforest and Local Outlier Factor. I: 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech).

IEEE conference proceedings.

ISBN 978-1-6654-8828-0.

DOI: 10.23919/SpliTech55088.2022.9854355

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

(2022)

Recurrent neural networks for electrical load forecasting to use in demand response. I: Industrial Demand Response: Methods, best practices, case studies, and applications.

IET Digital Library.

ISBN 9781839535628.

s.41-58.

DOI: 10.1049/PBPO215E_ch3

Johannesen, Nils Jakob; Kolhe, Mohan Lal

(2021)

Application of Regression Tools for Load Prediction in Distributed Network for Flexible Analysis. I: Flexibility in Electric Power Distribution Networks.

CRC Press.

ISBN 9781003122326.

s.67-94.

DOI: 10.1201/9781003122326

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

(2021)

Comparing recurrent neural networks using principal component analysis for electrical load predictions. I: 2021 6th International Conference on Smart and Sustainable Technologies - SpliTech.

IEEE (Institute of Electrical and Electronics Engineers).

ISBN 978-953-290-112-2.

DOI: 10.23919/SpliTech52315.2021.9566357

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

(2020)

Smart load prediction analysis for distributed power network of Holiday Cabins in Norwegian rural area.

Journal of Cleaner Production.

ISSN 0959-6526.

Volum 266.

DOI: 10.1016/j.jclepro.2020.121423

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

(2019)

Relative evaluation of regression tools for urban area electrical energy demand forecasting.

Journal of Cleaner Production.

ISSN 0959-6526.

Volum 218.

s.555-564.

DOI: 10.1016/j.jclepro.2019.01.108

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

(2019)

Load Demand Analysis of Nordic Rural Area with Holiday Resorts for Network Capacity Planning. I: 2019 4thInternational Conference on Smart and Sustainable Technologies(SpliTech).

IEEE (Institute of Electrical and Electronics Engineers).

ISBN 978-953-290-091-0.

DOI: 10.23919/SpliTech.2019.8783029

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

(2019)

Deregulated Electric Energy Price Forecasting in NordPool Market using Regression Techniques. I: 2019 IEEE Sustainable Power and Energy Conference (iSPEC).

IEEE conference proceedings.

ISBN 978-1-7281-4931-8.

s.1932-1938.

DOI: 10.1109/iSPEC48194.2019.8975173

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

(2018)

Comparison of Regression Tools for Regional Electric Load Forecasting. I: 2018 3rd INTERNATIONAL CONFERENCE ON SMART AND SUSTAINABLE TECHNOLOGIES (SPLITECH) - IEEE.

IEEE (Institute of Electrical and Electronics Engineers).

ISBN 978-953-290-083-5.

s.304-309.

Bøker og kapitler

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

(2022)

Machine Learning Applications for Load Predictions in Electrical Energy Network.

ISBN 978-82-8427-086-9.

Hefte 376.

Formidling

Johannesen, Nils Jakob

(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.

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

(2018)

Urban Area Load Forecasting using k-Nearest Neighbour Regression Tool Considering Weather Parameters.

Energy Systems Conference 2018;

2018-06-19 - 2018-06-20.