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

Hour-ahead photovoltaic generation forecasting method based on machine learning and multi objective optimization algorithm

(2022) Jianzhou Wang et al.   APPLIED ENERGY

MODE-CNN: A fast converging multi-objective optimization algorithm for CNN-based models

(2021) Özkan İni̇k et al.   APPLIED SOFT COMPUTING

Railway dangerous goods transportation system risk identification: Comparisons among SVM, PSO-SVM, GA-SVM and GS-SVM

(2021) Wencheng Huang et al.   APPLIED SOFT COMPUTING

Kullback-Leibler and Rényi divergence rate for Gaussian stationary ARMA processes comparison

(2021) Eric Grivel et al.   DIGITAL SIGNAL PROCESSING

Design of a combined system based on two-stage data preprocessing and multi-objective optimization for wind speed prediction

(2021) Ying Wang et al.   ENERGY

Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm

(2021) Zhenkun Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS

An advanced weighted system based on swarm intelligence optimization for wind speed prediction

(2021) Yuanyuan Shao et al.   APPLIED MATHEMATICAL MODELLING

Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization

(2021) Jianzhou Wang et al.   APPLIED SOFT COMPUTING

A regional pretraining-classification-selection forecasting system for wind power point forecasting and interval forecasting

(2021) Jianzhou Wang et al.   APPLIED SOFT COMPUTING

Image fusion algorithm based on unsupervised deep learning-optimized sparse representation

(2021) Feng-Ping An et al.   Biomedical Signal Processing and Control

A hybrid CNN-LSTM model for high resolution melting curve classification

(2021) Fatma Ozge Ozkok et al.   Biomedical Signal Processing and Control

CNN-LSTM architecture for predictive indoor temperature modeling

(2021) Furkan Elmaz et al.   BUILDING AND ENVIRONMENT

Compressive strength of rubberized concrete: Regression and GA-BPNN approaches using ultrasonic pulse velocity

(2021) Yifan Zhang et al.   CONSTRUCTION AND BUILDING MATERIALS

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

(2021) Dan Li et al.   ENERGY

Multi-models and dual-sampling periods quality prediction with time-dimensional K-means and state transition-LSTM network

(2021) Xiongtao Shi et al.   INFORMATION SCIENCES

Predicting cancer cells progression via entropy generation based on AR and ARMA models

(2021) Tayebeh Modaresi Movahed et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

The prediction of the polarization curves of a solid oxide fuel cell anode with an artificial neural network supported numerical simulation

(2021) Marek Gnatowski et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Research on test bench bearing fault diagnosis of improved EEMD based on improved adaptive resonance technology

(2021) Hua Li et al.   MEASUREMENT

Multi-step ahead short-term wind speed forecasting approach coupling variational mode decomposition, improved beetle antennae search algorithm-based synchronous optimization and Volterra series model

(2021) Wenlong Fu et al.   RENEWABLE ENERGY

A hybrid PSO-ANFIS model for predicting unstable zones in underground roadways

(2021) Satar Mahdevari et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Universities power energy management: A novel hybrid model based on iCEEMDAN and Bayesian optimized LSTM

(2021) Yaqing He et al.   Energy Reports

Decomposition-selection-ensemble forecasting system for energy futures price forecasting based on multi-objective version of chaos game optimization algorithm

(2021) Ping Jiang et al.   RESOURCES POLICY

Carbon price forecasting system based on error correction and divide-conquer strategies

(2021) Xinsong Niu et al.   APPLIED SOFT COMPUTING

A combined framework based on data preprocessing, neural networks and multi-tracker optimizer for wind speed prediction

(2020) Jianzhou Wang et al.   Sustainable Energy Technologies and Assessments

Wind power prediction using a novel model on wavelet decomposition-support vector machines-improved atomic search algorithm

(2020) Ling-Ling Li et al.   JOURNAL OF CLEANER PRODUCTION

Effective wind power prediction using novel deep learning network: Stacked independently recurrent autoencoder

(2020) Lin Wang et al.   RENEWABLE ENERGY

A hybrid neural network model for short-term wind speed forecasting based on decomposition, multi-learner ensemble, and adaptive multiple error corrections

(2020) Hui Liu et al.   RENEWABLE 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

Long Short-Term Memory Network based on Neighborhood Gates for processing complex causality in wind speed prediction

(2019) Zhendong Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

A combined forecasting model for time series: Application to short-term wind speed forecasting

(2019) Zhenkun Liu et al.   APPLIED ENERGY

Short-term wind speed prediction model based on GA-ANN improved by VMD

(2019) Yagang Zhang et al.   RENEWABLE ENERGY

Improved near surface wind speed predictions using Gaussian process regression combined with numerical weather predictions and observed meteorological data

(2018) Victoria Hoolohan et al.   RENEWABLE ENERGY

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

(2018) Pei Du et al.   RENEWABLE ENERGY

Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization

(2016) Seyedali Mirjalili et al.   EXPERT SYSTEMS WITH APPLICATIONS

Wind power day-ahead prediction with cluster analysis of NWP

(2016) Lei Dong et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction

(2012) Hui Liu et al.   APPLIED ENERGY

A hybrid PSO–ANFIS approach for short-term wind power prediction in Portugal

(2010) H.M.I. Pousinho et al.   ENERGY CONVERSION AND MANAGEMENT