Short term electricity price forecasting using a new hybrid model based on two-layer decomposition technique and ensemble learning

A novel hybrid deep neural network model for short‐term electricity price forecasting

(2020) Chiou‐Jye Huang et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm

(2019) Feifei He et al.   APPLIED ENERGY

A hybrid Elman recurrent neural network, group search optimization, and refined VMD-based framework for multi-step ahead electricity price forecasting

(2019) R. Hannah Jessie Rani et al.   SOFT COMPUTING

One month-ahead electricity price forecasting in the context of production planning

(2019) Torben Windler et al.   JOURNAL OF CLEANER PRODUCTION

A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network

(2019) Wei Sun et al.   JOURNAL OF CLEANER PRODUCTION

Effective Long short-term Memory with Differential Evolution Algorithm for Electricity Price Prediction

(2018) Lu Peng et al.   ENERGY

Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Mapping forest change using stacked generalization: An ensemble approach

(2018) Sean P. Healey et al.   REMOTE SENSING OF ENVIRONMENT

Comparing Variational and Empirical Mode Decomposition in Forecasting Day-Ahead Energy Prices

(2017) Salim Lahmiri   IEEE Systems Journal

Crude oil price analysis and forecasting based on variational mode decomposition and independent component analysis

(2017) Jianwei E et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Fast and Accurate Classification of Time Series Data Using Extended ELM: Application in Fault Diagnosis of Air Handling Units

(2017) Ke Yan et al.   IEEE Transactions on Systems Man Cybernetics-Systems

A non-iterative decomposition-ensemble learning paradigm using RVFL network for crude oil price forecasting

(2017) Ling Tang et al.   APPLIED SOFT COMPUTING

A variational mode decompoisition approach for analysis and forecasting of economic and financial time series

(2016) Salim Lahmiri   EXPERT SYSTEMS WITH APPLICATIONS

A systematic design of interval type-2 fuzzy logic system using extreme learning machine for electricity load demand forecasting

(2016) Saima Hassan et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Electricity price forecasting with a BED (Bivariate EMD Denoising) methodology

(2015) Kaijian He et al.   ENERGY

Electricity price forecast using Combinatorial Neural Network trained by a new stochastic search method

(2015) O. Abedinia et al.   ENERGY CONVERSION AND MANAGEMENT

A hybrid functional link dynamic neural network and evolutionary unscented Kalman filter for short-term electricity price forecasting

(2015) Sujit Kumar Dash et al.   NEURAL COMPUTING & APPLICATIONS

A new semiparametric and EEMD based framework for mid-term electricity demand forecasting in China: Hidden characteristic extraction and probability density prediction

(2015) Zhen Shao et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Day-ahead electricity price forecasting using WPT, GMI and modified LSSVM-based S-OLABC algorithm

(2015) H. Shayeghi et al.   SOFT COMPUTING

A Comparative Study of Empirical Mode Decomposition-Based Short-Term Wind Speed Forecasting Methods

(2015) Ye Ren et al.   IEEE Transactions on Sustainable Energy

Variational Mode Decomposition

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

Mid-term electricity market clearing price forecasting: A multiple SVM approach

(2014) Xing Yan et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A hybrid wavelet-ELM based short term price forecasting for electricity markets

(2013) Nitin Anand Shrivastava et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Day-ahead electricity price forecasting using WT, CLSSVM and EGARCH model

(2012) Jinliang Zhang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Feature subset selection using differential evolution and a statistical repair mechanism

(2011) Rami N. Khushaba et al.   EXPERT SYSTEMS WITH APPLICATIONS

Forecasting electricity spot market prices with a k-factor GIGARCH process

(2008) Abdou Kâ Diongue et al.   APPLIED ENERGY

Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization

(2008) A.K. Qin et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION