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

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

(2022) Jianzhou Wang et al.   APPLIED ENERGY

Improved sparrow search algorithm optimization deep extreme learning machine for lithium-ion battery state-of-health prediction

(2022) Jianfang Jia et al.   iScience

Wind speed forecasting based on multi-objective grey wolf optimisation algorithm, weighted information criterion, and wind energy conversion system: A case study in Eastern China

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

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

Interval forecasting system for electricity load based on data pre-processing strategy and multi-objective optimization algorithm

(2021) Jianzhou Wang et al.   APPLIED ENERGY

Decoding SSVEP patterns from EEG via multivariate variational mode decomposition-informed canonical correlation analysis

(2021) Liang Chang et al.   Biomedical Signal Processing and Control

Multivariate empirical mode decomposition based hybrid model for day-ahead peak load forecasting

(2021) Yanmei Huang et al.   ENERGY

Data-augmented sequential deep learning for wind power forecasting

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

Air pollution forecasting with multivariate interval decomposition ensemble approach

(2021) Yawei Dong et al.   Atmospheric Pollution Research

Feature engineering and forecasting via derivative-free optimization and ensemble of sequence-to-sequence networks with applications in renewable energy

(2020) Mohammad Pirhooshyaran et al.   ENERGY

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

Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network

(2020) Jiandong Duan et al.   ENERGY

An improved residual-based convolutional neural network for very short-term wind power forecasting

(2020) Ceyhun Yildiz et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term prediction for wind power based on temporal convolutional network

(2020) Ruijin Zhu et al.   Energy Reports

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

(2020) Lin Wang et al.   RENEWABLE ENERGY

A hybrid model based on modified multi-objective cuckoo search algorithm for short-term load forecasting

(2019) Zhuochun Wu et al.   APPLIED ENERGY

Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model

(2019) Jinhua Zhang et al.   APPLIED ENERGY

An innovative hybrid system for wind speed forecasting based on fuzzy preprocessing scheme and multi-objective optimization

(2019) Chen Li et al.   ENERGY

Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition

(2019) Mumtaz Ali et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A novel hybrid model for short-term wind power forecasting

(2019) Pei Du et al.   APPLIED SOFT COMPUTING

A novel fault diagnosis algorithm for rotating machinery based on a sparsity and neighborhood preserving deep extreme learning machine

(2019) Ke Li et al.   NEUROCOMPUTING

Hybrid forecasting system based on an optimal model selection strategy for different wind speed forecasting problems

(2019) Qingguo Zhou et al.   APPLIED ENERGY

Wind power forecasting based on singular spectrum analysis and a new hybrid Laguerre neural network

(2019) Cong Wang et al.   APPLIED ENERGY

A multi-scale method for forecasting oil price with multi-factor search engine data

(2019) Ling Tang et al.   APPLIED ENERGY

A cascaded deep learning wind power prediction approach based on a two-layer of mode decomposition

(2019) Hao Yin et al.   ENERGY

A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm

(2018) Jianzhou Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data

(2018) Ravinesh C. Deo et al.   RENEWABLE ENERGY

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

(2018) Pei Du et al.   RENEWABLE ENERGY

The study and application of a novel hybrid system for air quality early-warning

(2018) Yan Hao et al.   APPLIED SOFT COMPUTING

Ultra-Short-Term Wind Power Prediction Based on Multivariate Phase Space Reconstruction and Multivariate Linear Regression

(2018) Rongsheng Liu et al.   Energies

Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation

(2018) Ramendra Prasad et al.   APPLIED ENERGY

A hybrid forecasting system based on a dual decomposition strategy and multi-objective optimization for electricity price forecasting

(2018) Wendong Yang et al.   APPLIED ENERGY

Research and application based on the swarm intelligence algorithm and artificial intelligence for wind farm decision system

(2018) Xuejing Zhao et al.   RENEWABLE ENERGY

Review: Multi-objective optimization methods and application in energy saving

(2017) Yunfei Cui et al.   ENERGY

Research and application of a combined model based on multi-objective optimization for multi-step ahead wind speed forecasting

(2017) Jianzhou Wang et al.   ENERGY

Multi-objective based economic operation and environmental performance of PV-based large industrial consumer

(2017) Roshanak Rezaeipour et al.   SOLAR ENERGY

A Hybrid Forecasting Method for Wind Power Ramp Based on Orthogonal Test and Support Vector Machine (OT-SVM)

(2017) Yongqian Liu et al.   IEEE Transactions on Sustainable Energy

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

Research and application of a hybrid model based on multi-objective optimization for electrical load forecasting

(2016) Liye Xiao et al.   APPLIED ENERGY

A novel bidirectional mechanism based on time series model for wind power forecasting

(2016) Yongning Zhao et al.   APPLIED ENERGY

Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems

(2016) Seyedali Mirjalili et al.   APPLIED INTELLIGENCE

Wind speed forecasting based on wavelet packet decomposition and artificial neural networks trained by crisscross optimization algorithm

(2016) Anbo Meng et al.   ENERGY CONVERSION AND MANAGEMENT

Representation learning with deep extreme learning machines for efficient image set classification

(2016) Muhammad Uzair et al.   NEURAL COMPUTING & APPLICATIONS

Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method

(2016) Shouxiang Wang et al.   RENEWABLE ENERGY

A hybrid model based on data preprocessing for electrical power forecasting

(2015) Liye Xiao et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Learning deep representations via extreme learning machines

(2015) Wenchao Yu et al.   NEUROCOMPUTING

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

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

Crisscross optimization algorithm and its application

(2014) An-bo Meng et al.   KNOWLEDGE-BASED SYSTEMS

Forecasting wind power in the Mai Liao Wind Farm based on the multi-layer perceptron artificial neural network model with improved simplified swarm optimization

(2013) Wei-Chang Yeh et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Current methods and advances in forecasting of wind power generation

(2011) Aoife M. Foley et al.   RENEWABLE ENERGY

Multi-Objective Optimization in High Frequency Electromagnetics—An Effective Technique for Smart Mobile Terminal Antenna (SMTA) Design

(2009) J. Lu et al.   IEEE TRANSACTIONS ON MAGNETICS

Evolutionary multi-objective optimization: some current research trends and topics that remain to be explored

(2009) Carlos A. Coello Coello   Frontiers of Computer Science in China