An evolutionary deep learning model based on TVFEMD, improved sine cosine algorithm, CNN and BiLSTM for wind speed prediction

A multimodal approach to chaotic renewable energy prediction using meteorological and historical information

(2022) Hui Hwang Goh et al.   APPLIED SOFT COMPUTING

Hybrid short-term runoff prediction model based on optimal variational mode decomposition, improved Harris hawks algorithm and long short-term memory network

(2022) Wei Sun et al.   Environmental Research Communications

Applications of random forest in multivariable response surface for short-term load forecasting

(2022) Guo-Feng Fan et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

An optimized complementary prediction method based on data feature extraction for wind speed forecasting

(2022) Jujie Wang et al.   Sustainable Energy Technologies and Assessments

A blended approach incorporating TVFEMD, PSR, NNCT-based multi-model fusion and hierarchy-based merged optimization algorithm for multi-step wind speed prediction

(2021) Dongzhen Xiong et al.   ENERGY CONVERSION AND MANAGEMENT

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 deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm

(2021) Mehdi Neshat et al.   ENERGY CONVERSION AND MANAGEMENT

Decomposition-based hybrid wind speed forecasting model using deep bidirectional LSTM networks

(2021) K.U. Jaseena et al.   ENERGY CONVERSION AND MANAGEMENT

Wind speed forecasting system based on gated recurrent units and convolutional spiking neural networks

(2021) Danxiang Wei et al.   APPLIED ENERGY

2-D regional short-term wind speed forecast based on CNN-LSTM deep learning model

(2021) Yaoran Chen et al.   ENERGY CONVERSION AND MANAGEMENT

Offshore wind speed forecasting at different heights by using ensemble empirical mode decomposition and deep learning models

(2021) Bharat Kumar Saxena et al.   APPLIED OCEAN RESEARCH

Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks

(2021) Dan Li et al.   ENERGY

A simple approach for short-term wind speed interval prediction based on independently recurrent neural networks and error probability distribution

(2021) Adnan Saeed et al.   ENERGY

Integrated framework of extreme learning machine (ELM) based on improved atom search optimization for short-term wind speed prediction

(2021) Lei Hua et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term wind speed forecasting based on long short-term memory and improved BP neural network

(2021) Gonggui Chen et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Short-term wind power forecasting based on meteorological feature extraction and optimization strategy

(2021) Peng Lu et al.   RENEWABLE ENERGY

A novel hourly PM2.5 concentration prediction model based on feature selection, training set screening, and mode decomposition-reorganization

(2021) Wei Sun et al.   Sustainable Cities and Society

An ESR Quasi-Online Identification Method for the Fractional-Order Capacitor of Forward Converters Based on Variational Mode Decomposition

(2021) Yunning Zhang et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

A novel hybrid approach based on variational heteroscedastic Gaussian process regression for multi-step ahead wind speed forecasting

(2021) Chu Zhang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Short-term photovoltaic power generation forecasting based on random forest feature selection and CEEMD: A case study

(2020) Dongxiao Niu et al.   APPLIED SOFT COMPUTING

Negative correlation learning-based RELM ensemble model integrated with OVMD for multi-step ahead wind speed forecasting

(2020) Tian Peng et al.   RENEWABLE ENERGY

Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks

(2020) Bixuan Gao et al.   RENEWABLE ENERGY

A short-term load forecasting model of multi-scale CNN-LSTM hybrid neural network considering the real-time electricity price

(2020) Xifeng Guo et al.   Energy Reports

A self-adaptive kernel extreme learning machine for short-term wind speed forecasting

(2020) Liye Xiao et al.   APPLIED SOFT COMPUTING

A self-organizing forecast of day-ahead wind speed: Selective ensemble strategy based on numerical weather predictions

(2020) Jing Zhao et al.   ENERGY

Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada

(2019) Rahim Barzegar et al.   JOURNAL OF HYDROLOGY

Representation learning with extreme learning machines and empirical mode decomposition for wind speed forecasting methods

(2019) Hao-Fan Yang et al.   ARTIFICIAL INTELLIGENCE

Learning Temporal and Spatial Correlations Jointly: A Unified Framework for Wind Speed Prediction

(2019) Qiaomu Zhu et al.   IEEE Transactions on Sustainable Energy

One-day-ahead probabilistic wind speed forecast based on optimized numerical weather prediction data

(2018) Xinyu Zhao et al.   ENERGY CONVERSION AND MANAGEMENT

Frequency control in an islanded hybrid microgrid using frequency response analysis tools

(2018) Mohsen Aryan Nezhad et al.   IET Renewable Power Generation

An adaptive dynamic short-term wind speed forecasting model using secondary decomposition and an improved regularized extreme learning machine

(2018) Na Sun et al.   ENERGY

Real-time AC voltage control and power-following of a combined proton exchange membrane fuel cell, and ultracapacitor bank with nonlinear loads

(2017) Mohsen Aryan Nezhad et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

A time varying filter approach for empirical mode decomposition

(2017) Heng Li et al.   SIGNAL PROCESSING

Linear and non-linear autoregressive models for short-term wind speed forecasting

(2016) M. Lydia et al.   ENERGY CONVERSION AND MANAGEMENT

SCA: A Sine Cosine Algorithm for solving optimization problems

(2016) Seyedali Mirjalili   KNOWLEDGE-BASED SYSTEMS

A robust combination approach for short-term wind speed forecasting and analysis – Combination of the ARIMA (Autoregressive Integrated Moving Average), ELM (Extreme Learning Machine), SVM (Support Vector Machine) and LSSVM (Least Square SVM) forecasts using a GPR (Gaussian Process Regression) model

(2015) Jianzhou Wang et al.   ENERGY

Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting

(2013) Chao Ren et al.   KNOWLEDGE-BASED SYSTEMS

Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm

(2013) Da Liu et al.   RENEWABLE ENERGY

Forecasting wind speed with recurrent neural networks

(2012) Qing Cao et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

ARMA based approaches for forecasting the tuple of wind speed and direction

(2010) Ergin Erdem et al.   APPLIED ENERGY