Intricate Anomaly Detection in Time Series by Caculating Shift of Non-Gaussianity
Author:
Affiliation:
1. School of Electrical and Computer Engineering, College of Engineering, University of Georgia,Athens,USA,30602
2. Institute for Artifitial Intelligence Franklin College of Arts and Sciences, University of Georgia,Athens,USA,30602
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10500015/10500024/10500255.pdf?arnumber=10500255
Reference20 articles.
1. Introduction to Time Series and Forecasting
2. Forecasting: principles and practice;Hyndman;OTexts,2018
3. IRENA;Renewable capacity statistics 2021 International Renewable Energy Agency (IRENA), Abu Dhabi,2021
4. Council, G. W. E;Global wind report 2021. Global Wind Energy Council: Brussels, Belgium,2021
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