Applied Energy, 2019 [2] A Review on Hybrid Empirical Mode Decomposition Models for Wind Speed and Wind Power Prediction 2019 [3] A Hybrid Model Based on a Two-Layer Decomposition Approach and an Optimized Neural Network for Chaotic Time Series Prediction 2019 [4] Analysis of high-dimensional biomedical data using an evolutionary multi-objective emperor penguin optimizer 2019 [5] A novel framework for wind speed prediction based on recurrent neural networks and support vector machine Energy Conversion and Management, 2018 [6] Hybrid multiscale wind speed forecasting based on variational mode decomposition International Transactions on Electrical Energy Systems, 2018 [7] Dealing with seasonality by narrowing the training set in time series forecasting with kNN Expert Systems with Applications, 2018 [8] Multidimensional k-nearest neighbor model based on EEMD for financial time series forecasting Physica A: Statistical Mechanics and its Applications, 2017 [9] Comparative study on three new hybrid models using Elman Neural Network and Empirical Mode Decomposition based technologies improved by Singular Spectrum … Energy Conversion and Management, 2017 [10] Comparative study on three new hybrid models using Elman Neural Network and Empirical Mode Decomposition based technologies improved by Singular Spectrum … Energy Conversion and Management, 2017 [11] A methodology for applying k-nearest neighbor to time series forecasting Artificial Intelligence Review, 2017 [12] Ensemble classification and regression-recent developments, applications and future directions 2016 [13] Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article] Computational Intelligence Magazine, IEEE, 2016 [14] Ensemble methods for wind and solar power forecasting—A state-of-the-art review Renewable and Sustainable Energy Reviews, 2015 [15] A Comparative Study of Empirical Mode Decomposition-Based Short-Term Wind Speed Forecasting Methods Sustainable Energy, IEEE Transactions on, 2015 [16] Empirical mode decomposition based adaboost-backpropagation neural network method for wind speed forecasting Computational Intelligence in Ensemble Learning (CIEL), 2014 IEEE Symposium on, 2014
JPEE Subscription
E-Mail Alert
JPEE Most popular papers
Publication Ethics & OA Statement
JPEE News
Frequently Asked Questions
Recommend to Peers
Recommend to Library
Contact Us