Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/134180
Author(s): Nuno Miguel de Barbosa Ferreira
Title: Time series vs regression, which is the best approach?
Issue Date: 2021-03-29
Description: In management and administrative situations the need for planning is great and very valuable. Forecasting is a tool that aims to provide aid in decision making processes and efficient planning, whether that means learning from past mistakes, decreasing costs, better resource management amongst many other uses. When the data that's being analyzed is ordered over time then it's considered a time-series and its forecasting will try to estimate how that sequence of observations will behave in the future. Since time-series have specific traits it's interesting to convert time-series problems to regression ones. This thesis aims to automatically convert a time-series framework to a state-of-the-art regression framework and compare the two, trying to understand the advantages and disadvantages of the two approaches.
Subject: Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
Scientific areas: Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
DOI: 10.34626/5hfx-tc95
TID identifier: 202824160
URI: https://hdl.handle.net/10216/134180
Document Type: Dissertação
Rights: restrictedAccess
Appears in Collections:FEUP - Dissertação

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