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Found 2 essays matching the above criteria.

1. 1. Unsupervised Anomaly Detection on Time Series Data: An Implementation on Electricity Consumption Series

   University essay from KTH/Matematisk statistik

   Author : Amelia Lindroth Henriksson; [2021]
   Keywords : Unsupervised learning; machine learning; anomaly detection; time series; electricity consumption; synthetic anomalies; DBSCAN; LOF; iForest; OC-SVM; Oövervakad inlärning; maskininlärning; anomalidetektion; tidsserier; elförbrukning; syntetiska anomalier; DBSCAN; LOF; iForest; OC-SVM;

   Abstract : Digitization of the energy industry, introduction of smart grids and increasing regulation of electricity consumption metering have resulted in vast amounts of electricity data. This data presents a unique opportunity to understand the electricity usage and to make it more efficient, reducing electricity consumption and carbon emissions. READ MORE

3. 2. Logistic Regression Analysis of Patent Approval Rate in Sweden

   University essay from KTH/Skolan för teknikvetenskap (SCI)

   Author : Amelia Lindroth Henriksson; Simon Koller; [2018]
   Keywords : ;

   Abstract : This thesis was conducted to investigate what factors impact the outcome of a patent application for the Swedish market. The method used was logistic regression and the data was extracted from the database of The Swedish Patent and Registration Offi ce, PRV. READ MORE