DocumentCode
734417
Title
Forecasting of a temporary row on the basis of the caterpillar method — Ssa
Author
Minor, A.S. ; Polyakhov, N.D. ; Prikhodko, I.A. ; Vorobyova, E.A.
Author_Institution
St.-Petersburg Electrotech. Univ. “LETI”, St. Petersburg, Russia
fYear
2015
fDate
19-21 May 2015
Firstpage
150
Lastpage
152
Abstract
Based on the Visual representation of the results of the decomposition of the singular trajectory matrix time series that contains the data of power consumption for 28 days, the trend and the periodic component of the series. The accuracy of the prediction when you use the <;<;Caterpillar-SSA>> was 1.75 %.
Keywords
forecasting theory; matrix algebra; signal representation; singular value decomposition; spectral analysis; time series; caterpillar-SSA method; periodic component; power consumption; singular spectrum analysis; singular trajectory matrix time series decomposition; temporary row forecasting; visual representation; Forecasting; Loading; Market research; Matrix decomposition; Power demand; Schedules; Trajectory; forecast; method “caterpillar-SSA; singular decomposition; time series;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing and Measurements (SCM), 2015 XVIII International Conference on
Conference_Location
St. Petersburg
Print_ISBN
978-1-4673-6960-2
Type
conf
DOI
10.1109/SCM.2015.7190439
Filename
7190439
Link To Document