Nils Jakob Johannesen

Professor II i elkraft

Logo UiS

Kontakt

E-post: nils.j.johannesen@uis.no

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.

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 

 

Følg meg på nett

Google Scholar

Publikasjoner

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

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.