Artificial bee colony-based combination approach to forecasting agricultural commodity prices

A novel hybrid decomposition-ensemble model based on VMD and HGWO for container throughput forecasting

(2018) Mingfei Niu et al.   APPLIED MATHEMATICAL MODELLING

Exploring the sources of uncertainty: Why does bagging for time series forecasting work?

(2018) Fotios Petropoulos et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Artificial Bee Colony Algorithm Based on Novel Mechanism for Fuzzy Portfolio Selection

(2018) Weifeng Gao et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

A semi-heterogeneous approach to combining crude oil price forecasts

(2018) Jue Wang et al.   INFORMATION SCIENCES

Another look at forecast selection and combination: Evidence from forecast pooling

(2018) Nikolaos Kourentzes et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

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

(2017) Huiting Zheng et al.   Energies

LSTM network: a deep learning approach for short-term traffic forecast

(2017) Zheng Zhao et al.   IET Intelligent Transport Systems

Improving short term load forecast accuracy via combining sister forecasts

(2016) Jakub Nowotarski et al.   ENERGY

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Is there an optimal forecast combination?

(2013) Cheng Hsiao et al.   JOURNAL OF ECONOMETRICS

A linear hybrid methodology for improving accuracy of time series forecasting

(2013) Ratnadip Adhikari et al.   NEURAL COMPUTING & APPLICATIONS

Ensemble approaches for regression

(2012) João Mendes-Moreira et al.   ACM COMPUTING SURVEYS

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Forecast Combination by Using Artificial Neural Networks

(2010) Cagdas Hakan Aladag et al.   NEURAL PROCESSING LETTERS