A Short-Term Load Forecasting Model with a Modified Particle Swarm Optimization Algorithm and Least Squares Support Vector Machine Based on the Denoising Method of Empirical Mode Decomposition and Grey Relational Analysis

A hybrid ANFIS model based on empirical mode decomposition for stock time series forecasting

(2016) Liang-Ying Wei   APPLIED SOFT COMPUTING

Comparison of strategies for multi-step ahead photovoltaic power forecasting models based on hybrid group method of data handling networks and least square support vector machine

(2016) M.G. De Giorgi et al.   ENERGY

Photovoltaic forecast based on hybrid PCA–LSSVM using dimensionality reducted data

(2016) M. Malvoni et al.   NEUROCOMPUTING

Wind Power Grid Connected Capacity Prediction Using LSSVM Optimized by the Bat Algorithm

(2015) Qunli Wu et al.   Energies

Wind speed prediction using reduced support vector machines with feature selection

(2015) Xiaobing Kong et al.   NEUROCOMPUTING

Comparison Between Wind Power Prediction Models Based on Wavelet Decomposition with Least-Squares Support Vector Machine (LS-SVM) and Artificial Neural Network (ANN)

(2014) Maria De Giorgi et al.   Energies

Artificial Neural Network for Short-Term Load Forecasting in Distribution Systems

(2014) Luis Hernández et al.   Energies

Legitimate-reader-only attack on MIFARE Classic

(2012) Ya Liu et al.   MATHEMATICAL AND COMPUTER MODELLING

Wind farm power prediction based on wavelet decomposition and chaotic time series

(2011) Xueli An et al.   EXPERT SYSTEMS WITH APPLICATIONS

Wavelet decomposition and autoregressive model for time series prediction

(2007) A. Ben Mabrouk et al.   APPLIED MATHEMATICS AND COMPUTATION