A short‐term wind power prediction method based on deep learning and multistage ensemble algorithm

Short‐term wind speed multistep combined forecasting model based on two‐stage decomposition and LSTM

(2021) Xuechao Liao et al.   WIND ENERGY

Wind turbine power output prediction using a new hybrid neuro-evolutionary method

(2021) Mehdi Neshat et al.   ENERGY

State of charge estimation of lithium-ion battery using denoising autoencoder and gated recurrent unit recurrent neural network

(2021) Junxiong Chen et al.   ENERGY

Reliability‐based layout optimization in offshore wind energy systems

(2021) Caitlyn E. Clark et al.   WIND ENERGY

Hybrid Intelligent Feedforward-Feedback Pitch Control for VSWT With Predicted Wind Speed

(2021) Xuguo Jiao et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

Machine learning enables national assessment of wind plant controls with implications for land use

(2021) Dylan Harrison‐Atlas et al.   WIND ENERGY

Deep Spatial-Temporal 2-D CNN-BLSTM Model for Ultrashort-Term LiDAR-Assisted Wind Turbine's Power and Fatigue Load Forecasting

(2021) Amirhossein Dolatabadi et al.   IEEE Transactions on Industrial Informatics

Automated classification of simulated wind field patterns from multiphysics ensemble forecasts

(2020) Pablo Durán et al.   WIND ENERGY

Deep learning–based automatic bird identification system for offshore wind farms

(2020) Juha Niemi et al.   WIND ENERGY

Deep learning with knowledge transfer for explainable anomaly prediction in wind turbines

(2020) Joyjit Chatterjee et al.   WIND ENERGY

Ultra-Short-Term Industrial Power Demand Forecasting Using LSTM Based Hybrid Ensemble Learning

(2020) Mao Tan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Investigation of wake characteristics of the MEXICO wind turbine using lattice Boltzmann method

(2020) Linmin Li et al.   WIND ENERGY

Wind Power Prediction for Wind Farm Clusters Based on the Multifeature Similarity Matching Method

(2020) Xiaosheng Peng et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Host–Parasite: Graph LSTM-in-LSTM for Group Activity Recognition

(2020) Xiangbo Shu et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep Learning-Based Forecasting Approach in Smart Grids With Microclustering and Bidirectional LSTM Network

(2020) Hamidreza Jahangir et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Probabilistic Stacked Denoising Autoencoder for Power System Transient Stability Prediction With Wind Farms

(2020) Tong Su et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Application of mesoscale ensemble forecast method for prediction of wind speed ramps

(2019) Van Quang Doan et al.   WIND ENERGY

A general method to estimate wind farm power using artificial neural networks

(2019) Chi Yan et al.   WIND ENERGY

Integrated offshore wind farm design: Optimizing micro‐siting and cable layout simultaneously

(2019) Thomas Marge et al.   WIND ENERGY

Ultra short‐term probability prediction of wind power based on LSTM network and condition normal distribution

(2019) Yonghui Sun et al.   WIND ENERGY

Forecasting the High Penetration of Wind Power on Multiple Scales Using Multi-to-Multi Mapping

(2018) Jie Yan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A market-oriented wind power dispatch strategy using adaptive price thresholds and battery energy storage

(2018) Muhammad Khalid et al.   WIND ENERGY

Short-term Load Forecasting with Deep Residual Networks

(2018) Kunjin Chen et al.   IEEE Transactions on Smart Grid

Variational Mode Decomposition and Decision Tree Based Detection and Classification of Power Quality Disturbances in Grid-Connected Distributed Generation System

(2018) Pankaj D. Achlerkar et al.   IEEE Transactions on Smart Grid

Bird detection and species classification with time-lapse images around a wind farm: Dataset construction and evaluation

(2017) R. Yoshihashi et al.   WIND ENERGY

Teeter design for lowest extreme loads during end impacts

(2017) V. Schorbach et al.   WIND ENERGY

Short-Term Residential Load Forecasting based on LSTM Recurrent Neural Network

(2017) Weicong Kong et al.   IEEE Transactions on Smart Grid

Stratification-Based Wind Power Forecasting in a High-Penetration Wind Power System Using a Hybrid Model

(2016) Yuan-Kang Wu et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Wind Power Forecasting Using Neural Network Ensembles With Feature Selection

(2015) Song Li et al.   IEEE Transactions on Sustainable Energy

Short-term forecasting of categorical changes in wind power with Markov chain models

(2013) Megan Yoder et al.   WIND ENERGY

Short-term wind speed prediction in wind farms based on banks of support vector machines

(2010) Emilio G. Ortiz-García et al.   WIND ENERGY