Blar i AURA på forfatter "Johannesen, Nils Jakob"
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Evaluating Anomaly Detection Algorithms through different Grid scenarios using k-Nearest Neighbor, iforest and Local Outlier Factor
Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (Chapter; Peer reviewed, 2022)Detection of anomalies based on smart meter data is crucial to identify potential risks and unusual events at an early stage. The available advanced information and communicating platform and computational capability renders ... -
Relative evaluation of regression tools for urban area electrical energy demand forecasting
Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (Journal article; Peer reviewed, 2019)Load forecasting is the most fundamental application in Smart-Grid, which provides essential input to Demand Response, Topology Optimization and Abnormally Detection, facilitating the integration of intermittent clean ... -
Vertical Approach Anomaly Detection Using Local Outlier Factor
Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (Chapter; Peer reviewed, 2023)Detection of anomalies based on smart meter data is crucial to identify potential risks and unusual events at an early stage. In addition anomaly detection can be used as a tool to detect unwanted outliers, caused by ...