Essays about: "multivariate time series data"

Showing result 6 - 10 of 89 essays containing the words multivariate time series data.

1. 6. Unsupervised Online Anomaly Detection in Multivariate Time-Series

   University essay from Uppsala universitet/Datorteknik

   Author : Ludvig Segerholm; [2023]
   Keywords : unsupervised; online; anomaly detection; explainable ai; machine learning; mahalanobis distance;

   Abstract : This research aims to identify a method for unsupervised online anomaly detection in multivariate time series in dynamic systems in general and on the case study of Devwards IoT-system in particular. A requirement of the solution is its explainability, online learning and low computational expense. READ MORE

3. 7. Forecasting Swedish FCR-D Prices using Penalized Multivariate Time Series Techniques

   University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

   Author : Franz Lennart Wunderlich; Sebastian Brugger; [2023]
   Keywords : Swedish Energy Market; Multivariate Time-Series; Lasso; Forecasting; Noise Filtering; Business and Economics;

   Abstract : The Swedish energy market is becoming more and more sustainable, with an increasing volume and number of diversified energy sources being continuously added to the mix. To stabilize the grid frequency, auctions are held to offer energy providers incentives to produce or consume energy on short notice. READ MORE

4. 8. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Niklas Barth; [2023]
   Keywords : Unsupervised Learning; Multivariate Time Series; Graph Convolutional Neural Networks; Anomaly Detection; Industrial Control System; EtherCAT; Power Station; Electricity Grid;

   Abstract : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. READ MORE

5. 9. Air quality prediction in metropolitan areas using deep learning methods

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Augustin Ionut Ionascu; [2023]
   Keywords : air quality; forecasting; time-series; univariate; multivariate; multi-step; Attention; Transformer;

   Abstract : The rapid growth of the world's urban population shows that people are increasingly moving to cities. In recent decades, the frequent occurrence of smog caused by increasing industrialization has brought environmental pollution to record highs. READ MORE

6. 10. Football Trajectory Modeling Using Masked Autoencoders : Using Masked Autoencoder for Anomaly Detection and Correction for Football Trajectories

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Sandra Tor; [2023]
   Keywords : Machine Learning; Autoencoders; Masked autoencoders; Time series; Trajectory modeling; Time series modeling; Anomaly detection; Anomaly correction; Football; Maskininlärning; Autoencoders; Maskerade autoencoders; Tidsserie; Banmodellering; Tidsseriemodellering; Avvikelsedetektering; Avvikelsekorrigering; Fotboll;

   Abstract : Football trajectory modeling is a powerful tool for predicting and evaluating the movement of a football and its dynamics. Masked autoencoders are scalable self-supervised learners used for representation learning of partially observable data. READ MORE