DERN: Deep Ensemble Learning Model for Short- and Long-Term Prediction of Baltic Dry Index

Optimal Forecast Combination Based on Neural Networks for Time Series Forecasting

(2018) Lin Wang et al.   APPLIED SOFT COMPUTING

Forecasting the Baltic Dry Index by using an artificial neural network approach

(2018)   Turkish Journal of Electrical Engineering and Computer Sciences

Gated Recurrent Unit Network-Based Short-Term Photovoltaic Forecasting

(2018) Yusen Wang et al.   Energies

Nonstationary time series transformation methods: An experimental review

(2018) Rebecca Salles et al.   KNOWLEDGE-BASED SYSTEMS

Multi-step forecasting for big data time series based on ensemble learning

(2018) A. Galicia et al.   KNOWLEDGE-BASED SYSTEMS

Time series forecasting of petroleum production using deep LSTM recurrent networks

(2018) Alaa Sagheer et al.   NEUROCOMPUTING

Deep belief echo-state network and its application to time series prediction

(2017) Xiaochuan Sun et al.   KNOWLEDGE-BASED SYSTEMS

A combined robust fuzzy time series method for prediction of time series

(2017) Ozge Cagcag Yolcu et al.   NEUROCOMPUTING

Neural Decomposition of Time-Series Data for Effective Generalization

(2017) Luke B. Godfrey et al.   IEEE Transactions on Neural Networks and Learning Systems

Time series forecasting based on wavelet filtering

(2015) Tae Woo Joo et al.   EXPERT SYSTEMS WITH APPLICATIONS

A neural network based linear ensemble framework for time series forecasting

(2015) Ratnadip Adhikari   NEUROCOMPUTING

OPELM and OPKNN in long-term prediction of time series using projected input data

(2010) Dušan Sovilj et al.   NEUROCOMPUTING

Wavelet decomposition and autoregressive model for time series prediction

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