A novel machine learning-based electricity price forecasting model based on optimal model selection strategy

An effective rolling decomposition-ensemble model for gasoline consumption forecasting

(2021) Lean Yu et al.   ENERGY

An integrated framework of Bi-directional long-short term memory (BiLSTM) based on sine cosine algorithm for hourly solar radiation forecasting

(2021) Tian Peng et al.   ENERGY

A new hybrid optimization ensemble learning approach for carbon price forecasting

(2021) Shaolong Sun et al.   APPLIED MATHEMATICAL MODELLING

Hourly day-ahead wind power forecasting at two wind farms in northeast Brazil using WRF model

(2021) William Duarte Jacondino et al.   ENERGY

An ensemble approach for electricity price forecasting in markets with renewable energy resources

(2021) Kushagra Bhatia et al.   Utilities Policy

A center-of-concentrated-based prediction interval for wind power forecasting

(2021) Hao-Han Tsao et al.   ENERGY

Research and application of a hybrid model for mid-term power demand forecasting based on secondary decomposition and interval optimization

(2021) Dongxiao Niu et al.   ENERGY

Load forecasting based on grasshopper optimization and a multilayer feed-forward neural network using regressive approach

(2020) M. Talaat et al.   ENERGY

Short-term load forecasting for microgrid energy management system using hybrid HHO-FNN model with best-basis stationary wavelet packet transform

(2020) Usman Bashir Tayab et al.   ENERGY

Short-term wind speed forecasting using recurrent neural networks with error correction

(2020) Jikai Duan et al.   ENERGY

A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting

(2020) Ramon Gomes da Silva et al.   ENERGY

A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting

(2019) Yan Hao et al.   APPLIED ENERGY

A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting

(2019) Xinsong Niu et al.   APPLIED ENERGY

A hybrid method based on neural network and improved environmental adaptation method using Controlled Gaussian Mutation with real parameter for short-term load forecasting

(2019) Priyanka Singh et al.   ENERGY

A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China

(2019) Xin Ma et al.   ENERGY

A novel sub-models selection algorithm based on max-relevance and min-redundancy neighborhood mutual information

(2019) Ling Xiao et al.   INFORMATION SCIENCES

A hybrid electricity price forecasting model with Bayesian optimization for German energy exchange

(2019) Hangyang Cheng et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Point and interval forecasting for carbon price based on an improved analysis-forecast system

(2019) Chengshi Tian et al.   APPLIED MATHEMATICAL MODELLING

A Novel Nonlinear Combined Forecasting System for Short-Term Load Forecasting

(2018) et al.   Energies

A randomized-algorithm-based decomposition-ensemble learning methodology for energy price forecasting

(2018) Ling Tang et al.   ENERGY

Multi-step ahead forecasting in electrical power system using a hybrid forecasting system

(2018) Pei Du et al.   RENEWABLE ENERGY

A Clustering-Based Nonlinear Ensemble Approach for Exchange Rates Forecasting

(2018) Shaolong Sun et al.   IEEE Transactions on Systems Man Cybernetics-Systems

A novel wind speed forecasting system based on hybrid data preprocessing and multi-objective optimization

(2018) Chengshi Tian et al.   APPLIED ENERGY

The study and application of a novel hybrid system for air quality early-warning

(2018) Yan Hao et al.   APPLIED SOFT COMPUTING

Improved sine cosine algorithm with crossover scheme for global optimization

(2018) Shubham Gupta et al.   KNOWLEDGE-BASED SYSTEMS

A compound structure of ELM based on feature selection and parameter optimization using hybrid backtracking search algorithm for wind speed forecasting

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

SCA: A Sine Cosine Algorithm for solving optimization problems

(2016) Seyedali Mirjalili   KNOWLEDGE-BASED SYSTEMS

Rational and self-adaptive evolutionary extreme learning machine for electricity price forecast

(2016) Chixin Xiao et al.   Memetic Computing

Variational Mode Decomposition

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