Nils Jakob Johannesen
Professor II i elkraft
Kontakt
E-post: nils.j.johannesen@uis.no
Organisasjonsenhet
Det teknisk-naturvitenskapelige fakultet
Institutt for data- og elektroteknologi
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.