The Connections between COVID-19 and the Energy Commodities Prices: Evidence through the Dynamic Time Warping Method
The main objective of the study is to assess the similarity between the time series of energy commodity prices and the time series of daily COVID-19 cases. The COVID-19 pandemic affects all aspects of the global economy. Although this impact is multifaceted, we assess the connections between the num...
Main Authors: | Krzysztof Dmytrów, Joanna Landmesser, Beata Bieszk-Stolorz |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/14/13/4024 |
Similar Items
-
Sustainable Energy in European Countries: Analysis of Sustainable Development Goal 7 Using the Dynamic Time Warping Method
by: Krzysztof Dmytrów, et al.
Published: (2022-10-01) -
Improving the Robustness of DTW to Global Time Warping Conditions in Audio Synchronization
by: Jittisa Kraprayoon, et al.
Published: (2024-02-01) -
High-resolution Load Profile Clustering Approach Based on Dynamic Largest Triangle Three Buckets and Multiscale Dynamic Warping Path Under Limited Warping Path Length
by: Mi Wen, et al.
Published: (2023-01-01) -
Dynamic Time Warping Techniques for Time Series Clustering of Covid-19 Cases in DKI Jakarta
by: Meicheil Yohansa, et al.
Published: (2022-11-01) -
Parameter-Free Ordered Partial Match Alignment with Hidden State Time Warping
by: Claire Chang, et al.
Published: (2022-04-01)