Evolving long short-term memory neural network for wind speed forecasting

A short-term wind speed interval prediction method based on WRF simulation and multivariate line regression for deep learning algorithms

(2022) Yan Han et al.   ENERGY CONVERSION AND MANAGEMENT

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

(2022) Lin Ye et al.   APPLIED ENERGY

HBO-LSTM: Optimized long short term memory with heap-based optimizer for wind power forecasting

(2022) Ahmed A. Ewees et al.   ENERGY CONVERSION AND MANAGEMENT

A novel genetic LSTM model for wind power forecast

(2021) Farah Shahid 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

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

Ultra-short-term wind speed forecasting based on EMD-VAR model and spatial correlation

(2021) Zheyong Jiang et al.   ENERGY CONVERSION AND MANAGEMENT

Immunity Inspired Hybrid Fault Diagnosis and Conflict Resolution

(2021) Anam Abid et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

A machine learning and genetic algorithm-based method for predicting width deviation of hot-rolled strip in steel production systems

(2021) Yingjun Ji et al.   INFORMATION SCIENCES

A new short-term wind speed forecasting method based on fine-tuned LSTM neural network and optimal input sets

(2020) Gholamreza Memarzadeh et al.   ENERGY CONVERSION AND MANAGEMENT

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

E-LSTM: An Efficient Hardware Architecture for Long Short-Term Memory

(2019) Meiqi Wang et al.   IEEE Journal on Emerging and Selected Topics in Circuits and Systems

A Two-Layer Nonlinear Combination Method for Short-Term Wind Speed Prediction Based on ELM, ENN, and LSTM

(2019) Min-Rong Chen et al.   IEEE Internet of Things Journal

Wind power forecasting based on daily wind speed data using machine learning algorithms

(2019) Halil Demolli et al.   ENERGY CONVERSION AND MANAGEMENT

EnLSTM-WPEO: Short-Term Traffic Flow Prediction by Ensemble LSTM, NNCT Weight Integration, and Population Extremal Optimization

(2019) Feixiang Zhao et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Particle-swarm optimization of ensemble neural networks with negative correlation learning for forecasting short-term wind speed of wind farms in western China

(2019) Tao Ma et al.   INFORMATION SCIENCES

Evolving Deep Convolutional Neural Networks for Image Classification

(2019) Yanan Sun et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Model forecasting based on two-stage feature selection procedure using orthogonal greedy algorithm

(2018) He Jiang   APPLIED SOFT COMPUTING

One-day-ahead probabilistic wind speed forecast based on optimized numerical weather prediction data

(2018) Xinyu Zhao et al.   ENERGY CONVERSION AND MANAGEMENT

Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization

(2018) Jie Chen et al.   ENERGY CONVERSION AND MANAGEMENT

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

(2018) Pei Du et al.   RENEWABLE ENERGY

A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm

(2018) Ya-Lan Hu et al.   ENERGY CONVERSION AND MANAGEMENT

Wind power forecasting for a real onshore wind farm on complex terrain using WRF high resolution simulations

(2018) Miguel A. Prósper et al.   RENEWABLE ENERGY

Short-term wind speed forecasting using a hybrid model

(2017) Ping Jiang 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

An improved Wavelet Transform using Singular Spectrum Analysis for wind speed forecasting based on Elman Neural Network

(2017) Chuanjin Yu et al.   ENERGY CONVERSION AND MANAGEMENT

Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting

(2017) Mahdi Khodayar et al.   IEEE Transactions on Industrial Informatics

Deep belief network based deterministic and probabilistic wind speed forecasting approach

(2016) H.Z. Wang et al.   APPLIED ENERGY

Linear and non-linear autoregressive models for short-term wind speed forecasting

(2016) M. Lydia et al.   ENERGY CONVERSION AND MANAGEMENT

Recent advances in differential evolution – An updated survey

(2016) Swagatam Das et al.   Swarm and Evolutionary Computation

Probabilistic Short-Term Wind Power Forecasting Using Sparse Bayesian Learning and NWP

(2015) Kaikai Pan et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Combined forecasting models for wind energy forecasting: A case study in China

(2015) Ling Xiao et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Wind speed forecast correction models using polynomial neural networks

(2015) Ladislav Zjavka   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

Day-ahead wind speed forecasting using f-ARIMA models

(2008) Rajesh G. Kavasseri et al.   RENEWABLE ENERGY

Short term wind speed forecasting in La Venta, Oaxaca, México, using artificial neural networks

(2008) Erasmo Cadenas et al.   RENEWABLE ENERGY

KEEL: a software tool to assess evolutionary algorithms for data mining problems

(2008) J. Alcalá-Fdez et al.   SOFT COMPUTING