Essays about: "time-series clustering"
Showing result 1 - 5 of 82 essays containing the words time-series clustering.
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1. Forecasting With Feature-Based Time Series Clustering
University essay from Jönköping University/Tekniska HögskolanAbstract : Time series prediction plays a pivotal role in various areas, including for example finance, weather forecasting, and traffic analysis. In this study, time series of historical sales data from a packaging manufacturer is used to investigate the effects that clustering such data has on forecasting performance. READ MORE
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2. Robust Statistical Jump Models with Feature Selection
University essay from Lunds universitet/Matematisk statistikAbstract : A large area in statistics and machine learning is cluster analysis. This field of research concerns the design of algorithms that allow computers to automatically categorize a set of observations into different groups in a reasonable way, without any prior information about which observations belongs to which group. READ MORE
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3. Finding Anomalous Energy ConsumersUsing Time Series Clustering in the Swedish Energy Market
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Improving the energy efficiency of buildings is important for many reasons. There is a large body of data detailing the hourly energy consumption of buildings. This work studies a large data set from the Swedish energy market. READ MORE
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4. AI-assisted analysis of ICT-centre cooling : Using K-means clustering to identify cooling patterns in water-cooled ICT rooms
University essay from Linköpings universitet/EnergisystemAbstract : Information and communications technology (ICT) is an important part in today’s society and around 60% of the world's population are connected to the internet. Processing and storing ICT data corresponds to approximately 1% of the global electricity demand. READ MORE
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5. Evaluating clustering techniques in financial time series
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. READ MORE