Open AccessTime Series Forecasting for Electricity Consumption using Kernel Principal Component Analysis (kPCA) and Support Vector Machine (SVM)
Author(s) -
Verlly Puspita,
Ermatita Ermatita
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1196/1/012073
Subject(s) - support vector machine , time series , principal component analysis , series (stratigraphy) , kernel principal component analysis , kernel (algebra) , computer science , data mining , big data , artificial intelligence , machine learning , kernel method , mathematics , paleontology , combinatorics , biology