An integrated method based on relevance vector machine for short-term load forecasting
| Year of publication: |
2020
|
|---|---|
| Authors: | Ding, Jia ; Wang, Maolin ; Ping, Zuowei ; Fu, Dongfei ; Vassiliadis, Vassilios S. |
| Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 287.2020, 2 (1.12.), p. 497-510
|
| Subject: | Feature selection | Machine learning | Relevance vector machine | Short-term load forecasting | Wavelet transform | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Mustererkennung | Pattern recognition |
-
Predicting earnings management through machine learning ensemble classifiers
Hammami, Ahmad, (2022)
-
Comparison of improved relevance vector machines for streamflow predictions
Adnan, Rana Muhammad, (2024)
-
Ship detention prediction via feature selection scheme and support vector machine (SVM)
Wu, Shubo, (2022)
- More ...
-
A constrained EPSAC approach to inventory control for a benchmark supply chain system
Fu, Dongfei, (2016)
-
Ding, Jia, (2024)
-
Wang, Maolin, (2021)
- More ...