Daily Peak Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Support Vector Machine Optimized by Modified Grey Wolf Optimization Algorithm

Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

(2017) Huiting Zheng et al.   Energies

A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting

(2017) Wenyu Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Short-Term Photovoltaic Power Generation Forecasting Based on Environmental Factors and GA-SVM

(2017) Jidong Wang et al.   Journal of Electrical Engineering & Technology

Application of BP Neural Network Algorithm in Traditional Hydrological Model for Flood Forecasting

(2017) Jianjin Wang et al.   Water

Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization

(2016) Seyedali Mirjalili et al.   EXPERT SYSTEMS WITH APPLICATIONS

Day ahead electric power load forecasting by WT-ANN

(2016) Jakub JURASZ   Przeglad Elektrotechniczny

A hybrid dynamic and fuzzy time series model for mid-term power load forecasting

(2015) Woo-Joo Lee et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Wind speed prediction using the hybrid model of wavelet decomposition and artificial bee colony algorithm-based relevance vector machine

(2015) Sheng-wei Fei et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Prediction of Wind Power by Chaos and BP Artificial Neural Networks Approach Based on Genetic Algorithm

(2015) Dai-Zheng Huang et al.   Journal of Electrical Engineering & Technology

Daily water level forecasting using wavelet decomposition and artificial intelligence techniques

(2015) Youngmin Seo et al.   JOURNAL OF HYDROLOGY

A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system

(2015) Yuxing Sun et al.   NEUROCOMPUTING

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Improved complete ensemble EMD: A suitable tool for biomedical signal processing

(2014) Marcelo A. Colominas et al.   Biomedical Signal Processing and Control

Short-term forecasting of high-speed rail demand: A hybrid approach combining ensemble empirical mode decomposition and gray support vector machine with real-world applications in China

(2014) Xiushan Jiang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A new short-term load forecasting method of power system based on EEMD and SS-PSO

(2013) Zhigang Liu et al.   NEURAL COMPUTING & APPLICATIONS

Improving prediction of exchange rates using Differential EMD

(2012) Bhusana Premanode et al.   EXPERT SYSTEMS WITH APPLICATIONS

Comparing the applications of EMD and EEMD on time–frequency analysis of seismic signal

(2012) Tong Wang et al.   JOURNAL OF APPLIED GEOPHYSICS

A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series

(2009) Wen-Chuan Wang et al.   JOURNAL OF HYDROLOGY

Electric load forecasting by support vector model

(2008) Wei-Chiang Hong   APPLIED MATHEMATICAL MODELLING

A distributed PSO–SVM hybrid system with feature selection and parameter optimization

(2007) Cheng-Lung Huang et al.   APPLIED SOFT COMPUTING

BP neural network with rough set for short term load forecasting

(2007) Zhi Xiao et al.   EXPERT SYSTEMS WITH APPLICATIONS