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

Review on Photovoltaic Power and Solar Resource Forecasting: Current Status and Trends

(2021) Tatiane Carolyne Carneiro et al.   JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME

Solar forecasting with hourly updated numerical weather prediction

(2021) Gang Zhang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Rapid discrimination of Salvia miltiorrhiza according to their geographical regions by laser induced breakdown spectroscopy (LIBS) and particle swarm optimization-kernel extreme learning machine (PSO-KELM)

(2020) Jing Liang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Identifying groundwater contaminant sources based on a KELM surrogate model together with four heuristic optimization algorithms

(2020) Ying Zhao et al.   ADVANCES IN WATER RESOURCES

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

State-of-the-art one-stop handbook on wind forecasting technologies: An overview of classifications, methodologies, and analysis

(2020) Bo Yang et al.   JOURNAL OF CLEANER PRODUCTION

Short-term wind speed predicting framework based on EEMD-GA-LSTM method under large scaled wind history

(2020) Yaoran Chen et al.   ENERGY CONVERSION AND MANAGEMENT

An adaptive CEEMD-ANN algorithm and its application in pneumatic conveying flow pattern identification

(2020) Jiming Li et al.   FLOW MEASUREMENT AND INSTRUMENTATION

Fault feature extraction of low speed roller bearing based on Teager energy operator and CEEMD

(2019) Tian Han et al.   MEASUREMENT

A Novel Hybrid System Based on Multi-objective Optimization for Wind Speed Forecasting

(2019) Chunying Wu et al.   RENEWABLE ENERGY

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

(2019) Hui Liu et al.   APPLIED ENERGY

Wind speed reconstruction using a novel Multivariate Probabilistic method and Multiple Linear Regression: advantages compared to the single correlation approach

(2019) Livio Casella   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Short-term wind speed forecasting approach using Ensemble Empirical Mode Decomposition and Deep Boltzmann Machine

(2019) Madasthu Santhosh et al.   Sustainable Energy Grids & Networks

Enhanced whale optimization algorithm for maximum power point tracking of variable-speed wind generators

(2019) Mohammed H. Qais et al.   APPLIED SOFT COMPUTING

A hybrid wind power forecasting approach based on Bayesian model averaging and ensemble learning

(2019) Gang Wang et al.   RENEWABLE ENERGY

Long term rolling prediction model for solar radiation combining empirical mode decomposition (EMD) and artificial neural network (ANN) techniques

(2018) Fang-Fang Li et al.   Journal of Renewable and Sustainable Energy

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

(2018) Pei Du et al.   RENEWABLE ENERGY

A Hybrid Real-time remote monitoring framework with NB-WOA algorithm for patients with chronic diseases

(2018) Mohammed K. Hassan et al.   Future Generation Computer Systems-The International Journal of eScience

Spectrum analysis of insect-damaged wheat BPE signal based on CEEMD

(2017) Lihong Qiao et al.   OPTIK

Short-term wind speed and wind power prediction using hybrid empirical mode decomposition and kernel ridge regression

(2017) Jyotirmayee Naik et al.   APPLIED SOFT COMPUTING

The Whale Optimization Algorithm

(2016) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Short-term wind speed forecasting using empirical mode decomposition and feature selection

(2016) Chi Zhang et al.   RENEWABLE ENERGY

Comparison of new hybrid FEEMD-MLP, FEEMD-ANFIS, Wavelet Packet-MLP and Wavelet Packet-ANFIS for wind speed predictions

(2015) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

An EMD-recursive ARIMA method to predict wind speed for railway strong wind warning system

(2015) Hui Liu et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Ensemble methods for wind and solar power forecasting—A state-of-the-art review

(2015) Ye Ren et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

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

Forecasting wind speed using empirical mode decomposition and Elman neural network

(2014) Jujie Wang et al.   APPLIED SOFT COMPUTING

A hybrid forecasting approach applied to wind speed time series

(2013) Jianming Hu et al.   RENEWABLE ENERGY

Wind speed and wind energy forecast through Kalman filtering of Numerical Weather Prediction model output

(2012) Federico Cassola et al.   APPLIED ENERGY

The Use of Ensemble Empirical Mode Decomposition With Canonical Correlation Analysis as a Novel Artifact Removal Technique

(2012) Kevin T. Sweeney et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING