A dual-scale deep learning model based on ELM-BiLSTM and improved reptile search algorithm for wind power prediction

Short-term wind power forecast based on chaotic analysis and multivariate phase space reconstruction

(2022) Tianyao Ji et al.   ENERGY CONVERSION AND MANAGEMENT

Transfer learning based multi-layer extreme learning machine for probabilistic wind power forecasting

(2022) Yanli Liu et al.   APPLIED ENERGY

A short-term wind power prediction model based on CEEMD and WOA-KELM

(2022) Yunfei Ding et al.   RENEWABLE ENERGY

CEEMD-MR-hybrid model based on sample entropy and random forest for SO2 prediction

(2022) Suling Zhu et al.   Atmospheric Pollution Research

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

Exogenous atmospheric variables as wind speed predictors in machine learning

(2022) Amaris Dalton et al.   APPLIED ENERGY

A wind power forecasting method based on optimized decomposition prediction and error correction

(2022) Jun Li et al.   ELECTRIC POWER SYSTEMS RESEARCH

An ensemble method for short-term wind power prediction considering error correction strategy

(2022) Lin Ye et al.   APPLIED ENERGY

A hybrid attention-based deep learning approach for wind power prediction

(2022) Zhengjing Ma et al.   APPLIED ENERGY

An evolutionary robust solar radiation prediction model based on WT-CEEMDAN and IASO-optimized outlier robust extreme learning machine

(2022) Chu Zhang et al.   APPLIED ENERGY

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

Hourly day ahead wind speed forecasting based on a hybrid model of EEMD, CNN-Bi-LSTM embedded with GA optimization

(2022) Thi Hoai Thu Nguyen et al.   Energy Reports

Multi-branch wind power prediction based on optimized variational mode decomposition

(2022) Bangru Xiong et al.   Energy Reports

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

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

Hybrid forecasting method for wind power integrating spatial correlation and corrected numerical weather prediction

(2021) Shuai Hu et al.   APPLIED ENERGY

A novel transfer learning approach for wind power prediction based on a serio-parallel deep learning architecture

(2021) Hao Yin 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

Li-ion battery prognostic and health management through an indirect hybrid model

(2021) Zhiqiang Lyu et al.   Journal of Energy Storage

Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer

(2021) Laith Abualigah et al.   EXPERT SYSTEMS WITH APPLICATIONS

Improved EMD-Based Complex Prediction Model for Wind Power Forecasting

(2020) Oveis Abedinia et al.   IEEE Transactions on Sustainable Energy

Sequence transfer correction algorithm for numerical weather prediction wind speed and its application in a wind power forecasting system

(2019) Han Wang et al.   APPLIED ENERGY

Multi-step wind power forecast based on VMD-LSTM

(2019) Li Han et al.   IET Renewable Power Generation

Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications

(2019) Weiguo Zhao et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Wind power forecast using neural networks: Tuning with optimization techniques and error analysis

(2019) Gonçalo Nazaré et al.   WIND ENERGY

Photovoltaic Power Forecasting Based on EEMD and a Variable-Weight Combination Forecasting Model

(2018) Hui Wang et al.   Sustainability

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

Weighted error functions in artificial neural networks for improved wind energy potential estimation

(2013) Sungmoon Jung et al.   APPLIED ENERGY

A hybrid forecasting approach applied to wind speed time series

(2013) Jianming Hu et al.   RENEWABLE ENERGY

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

(2013) Da Liu et al.   RENEWABLE ENERGY

The auto-regression and the moving-average

(2010) Chrysoula Dimitriou-Fakalou   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

A review on the young history of the wind power short-term prediction

(2007) Alexandre Costa et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS