Nils Jakob Johannesen
Alf-Kristian Fladby,
Nils Jakob Johannesen
:
Comparison of Dimensional Reduction Methods for Predictive Analysis of Railway System Data
IEEE (Institute of Electrical and Electronics Engineers) 2024 DOI
Amrit Chapagain,
Emil Ghieh Melfald,
Nils Jakob Johannesen,
Bishal Silwald
:
Analysis of Single Phase to Ground Fault in Synchronous Generator Using Ansys Co-Simulation
IEEE (Institute of Electrical and Electronics Engineers) 2024 DOI
Alf-Kristian Fladby,
Nils Jakob Johannesen
:
Semi-systematic review of the feasibility for predictive analysis of railway power supply and electrical trains
IEEE (Institute of Electrical and Electronics Engineers) 2024 DOI
Svein Olav Glesaaen Nyberg,
Nils Jakob Johannesen
:
Time Series Modelling for Risk Analysis in Frequency Containment Reserves Market
IEEE (Institute of Electrical and Electronics Engineers) 2024 DOI
Oleksandra Ishchenko,
Nils Jakob Johannesen
:
Leveraging the Delphi Method for Demand Response Aggregation in the Energy Market
IEEE (Institute of Electrical and Electronics Engineers) 2024 DOI
Nils Jakob Johannesen,
Mohan Lal Kolhe,
Morten Goodwin
:
Vertical Approach Anomaly Detection Using Local Outlier Factor
Nils Jakob Johannesen,
Mohan Lal Kolhe,
Andreas Dolven Jacobsen
:
Correlation Analysis of Potential Solar Photovoltaic Power Plant Integration at Wind Farm with Grid Connection Limits
IEEE Press 2023 DOI
Nils Jakob Johannesen,
Mohan Lal Kolhe,
Morten Goodwin
:
Load prediction of rural area Nordic holiday resorts for microgrid development
Nils Jakob Johannesen,
Mohan Lal Kolhe,
Morten Goodwin
:
Recurrent neural networks for electrical load forecasting to use in demand response
Nils Jakob Johannesen,
Mohan Lal Kolhe,
Morten Goodwin
:
Evaluating Anomaly Detection Algorithms through different Grid scenarios using k-Nearest Neighbor, iforest and Local Outlier Factor
Nils Jakob Johannesen,
Mohan Lal Kolhe,
Morten Goodwin
:
Comparing recurrent neural networks using principal component analysis for electrical load predictions
Nils Jakob Johannesen,
Mohan Lal Kolhe
:
Application of Regression Tools for Load Prediction in Distributed Network for Flexible Analysis
Nils Jakob Johannesen,
Mohan Lal Kolhe,
Morten Goodwin
:
Smart load prediction analysis for distributed power network of Holiday Cabins in Norwegian rural area
Nils Jakob Johannesen,
Mohan Lal Kolhe,
Morten Goodwin
:
Load Demand Analysis of Nordic Rural Area with Holiday Resorts for Network Capacity Planning
IEEE (Institute of Electrical and Electronics Engineers) 2019 DOI
Nils Jakob Johannesen,
Mohan Lal Kolhe,
Morten Goodwin
:
Relative evaluation of regression tools for urban area electrical energy demand forecasting
Nils Jakob Johannesen,
Mohan Lal Kolhe,
Morten Goodwin
:
Deregulated Electric Energy Price Forecasting in NordPool Market using Regression Techniques
IEEE conference proceedings 2019 DOI
Nils Jakob Johannesen,
Mohan Lal Kolhe,
Morten Goodwin
:
Comparison of Regression Tools for Regional Electric Load Forecasting
IEEE (Institute of Electrical and Electronics Engineers) 2018 FULLTEKST
Nils Jakob Johannesen
:
Load Forecasting analysis in Power Distribution Networks and usefulness for Electricity Market
Nils Jakob Johannesen,
Mohan Lal Kolhe,
Morten Goodwin
:
Machine Learning Applications for Load Predictions in Electrical Energy Network
2022 ARKIV
Nils Jakob Johannesen,
Mohan Lal Kolhe,
Morten Goodwin
:
Urban Area Load Forecasting using k-Nearest Neighbour Regression Tool Considering Weather Parameters
2018
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