Multivariate wind speed forecasting based on multi-objective feature selection approach and hybrid deep learning model

Deep learning combined wind speed forecasting with hybrid time series decomposition and multi-objective parameter optimization

(2022) Sheng-Xiang Lv et al.   APPLIED ENERGY

A short-term wind speed prediction method utilizing novel hybrid deep learning algorithms to correct numerical weather forecasting

(2022) Yan Han et al.   APPLIED ENERGY

Point and interval forecasting of ultra-short-term wind power based on a data-driven method and hybrid deep learning model

(2022) Dongxiao Niu et al.   ENERGY

Quaternion convolutional long short-term memory neural model with an adaptive decomposition method for wind speed forecasting: North aegean islands case studies

(2022) Mehdi Neshat et al.   ENERGY CONVERSION AND MANAGEMENT

A competitive mechanism based multi-objective differential evolution algorithm and its application in feature selection

(2022) Jeng-Shyang Pan et al.   KNOWLEDGE-BASED SYSTEMS

A novel combined forecasting model based on neural networks, deep learning approaches, and multi-objective optimization for short-term wind speed forecasting

(2022) Jianzhou Wang et al.   ENERGY

Interpretable wind speed prediction with multivariate time series and temporal fusion transformers

(2022) Binrong Wu et al.   ENERGY

A novel offshore wind farm typhoon wind speed prediction model based on PSO–Bi-LSTM improved by VMD

(2022) Jiale Li et al.   ENERGY

Wind speed forecasting using a hybrid model considering the turbulence of the airflow

(2022) Alma Rosa Méndez-Gordillo et al.   RENEWABLE ENERGY

Deep learning based short term load forecasting with hybrid feature selection

(2022) Siva Sankari Subbiah et al.   ELECTRIC POWER SYSTEMS RESEARCH

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

(2022) Chu Zhang et al.   ENERGY

Developing a wind power forecasting system based on deep learning with attention mechanism

(2022) Chaonan Tian et al.   ENERGY

Hybrid model for short-term wind power forecasting based on singular spectrum analysis and a temporal convolutional attention network with an adaptive receptive field

(2022) Zhen Shao et al.   ENERGY CONVERSION AND MANAGEMENT

Effective machine learning model combination based on selective ensemble strategy for time series forecasting

(2022) Sheng-Xiang Lv et al.   INFORMATION SCIENCES

A combined short-term wind speed forecasting model based on CNN–RNN and linear regression optimization considering error

(2022) Jikai Duan et al.   RENEWABLE ENERGY

A novel integrated method for short-term wind power forecasting based on fluctuation clustering and history matching

(2022) Lin Ye et al.   APPLIED ENERGY

A novel wind power prediction approach using multivariate variational mode decomposition and multi-objective crisscross optimization based deep extreme learning machine

(2022) Anbo Meng et al.   ENERGY

Multistep short-term wind speed forecasting using transformer

(2022) Huijuan Wu et al.   ENERGY

Hybrid model based on VMD decomposition, clustering analysis, long short memory network, ensemble learning and error complementation for short-term wind speed forecasting assisted by Flink platform

(2022) Zexian Sun et al.   ENERGY

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

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

Using following heroes operation in multi-objective differential evolution for fast convergence

(2021) Vibhu Trivedi et al.   APPLIED SOFT COMPUTING

Hybrid wind speed forecasting model based on multivariate data secondary decomposition approach and deep learning algorithm with attention mechanism

(2021) Shuai Zhang et al.   RENEWABLE ENERGY

A review of wind speed and wind power forecasting with deep neural networks

(2021) Yun Wang et al.   APPLIED ENERGY

A combined forecasting system based on multi-objective optimization and feature extraction strategy for hourly PM2.5 concentration

(2021) Jianzhou Wang et al.   APPLIED SOFT COMPUTING

A high-accuracy hybrid method for short-term wind power forecasting

(2021) Sahra Khazaei et al.   ENERGY

Short-term wind speed forecasting system based on multivariate time series and multi-objective optimization

(2021) Zhihao Shang et al.   ENERGY

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

(2021) Peng Lu et al.   RENEWABLE ENERGY

Ultra-short-term / short-term wind speed prediction based on improved singular spectrum analysis

(2021) Qiuling Yang et al.   RENEWABLE ENERGY

Short-term wind speed forecasting over complex terrain using linear regression models and multivariable LSTM and NARX networks in the Andes Mountains, Ecuador

(2021) Germánico López et al.   RENEWABLE ENERGY

Usage of correlation analysis and hypothesis test in optimizing the gated recurrent unit network for wind speed forecasting

(2021) Jie Wu et al.   ENERGY

A composite framework coupling multiple feature selection, compound prediction models and novel hybrid swarm optimizer-based synchronization optimization strategy for multi-step ahead short-term wind speed forecasting

(2020) Wenlong Fu et al.   ENERGY CONVERSION AND MANAGEMENT

Wind power forecasting using attention-based gated recurrent unit network

(2020) Zhewen Niu et al.   ENERGY

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

A combined forecasting system based on modified multi-objective optimization and sub-model selection strategy for short-term wind speed

(2020) Qingguo Zhou et al.   APPLIED SOFT COMPUTING

A compound framework for wind speed forecasting based on comprehensive feature selection, quantile regression incorporated into convolutional simplified long short-term memory network and residual error correction

(2020) Kai Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Causal convolutional gated recurrent unit network with multiple decomposition methods for short-term wind speed forecasting

(2020) Guowei Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Near-optimal large-scale k-medoids clustering

(2020) Anton V. Ushakov et al.   INFORMATION SCIENCES

Multifactor spatio-temporal correlation model based on a combination of convolutional neural network and long short-term memory neural network for wind speed forecasting

(2019) Yong Chen et al.   ENERGY CONVERSION AND MANAGEMENT

Data processing strategies in wind energy forecasting models and applications: A comprehensive review

(2019) Hui Liu et al.   APPLIED ENERGY

Wind speed forecasting models based on data decomposition, feature selection and group method of data handling network

(2019) Hui Liu et al.   MEASUREMENT

A note on the validity of cross-validation for evaluating autoregressive time series prediction

(2018) Christoph Bergmeir et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

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