Short-term predictions of multiple wind turbine power outputs based on deep neural networks with transfer learning

Gearbox Fault Diagnosis Using a Deep Learning Model With Limited Data Sample

(2020) Syahril Ramadhan Saufi et al.   IEEE Transactions on Industrial Informatics

A hybrid deep learning-based neural network for 24-h ahead wind power forecasting

(2019) Ying-Yi Hong et al.   APPLIED ENERGY

Deep Coupling Autoencoder for Fault Diagnosis With Multimodal Sensory Data

(2018) Meng Ma et al.   IEEE Transactions on Industrial Informatics

Wind Turbine Blade Breakage Monitoring With Deep Autoencoders

(2018) Long Wang et al.   IEEE Transactions on Smart Grid

A Model Combining Stacked Auto Encoder and Back Propagation Algorithm for Short-Term Wind Power Forecasting

(2018) Runhai Jiao et al.   IEEE Access

Wind power prediction using hybrid autoregressive fractionally integrated moving average and least square support vector machine

(2017) Xiaohui Yuan et al.   ENERGY

Wind Turbine Gearbox Failure Identification With Deep Neural Networks

(2017) Long Wang et al.   IEEE Transactions on Industrial Informatics

Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting

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

Deep Neural Networks for Wind and Solar Energy Prediction

(2017) David Díaz–Vico et al.   NEURAL PROCESSING LETTERS

Wind power day-ahead prediction with cluster analysis of NWP

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

Machine learning ensembles for wind power prediction

(2016) Justin Heinermann et al.   RENEWABLE ENERGY

Transfer learning for short-term wind speed prediction with deep neural networks

(2016) Qinghua Hu et al.   RENEWABLE ENERGY

A selection of time series models for short- to medium-term wind power forecasting

(2015) Carsten Croonenbroeck et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Multi-step-ahead time series prediction using multiple-output support vector regression

(2013) Yukun Bao et al.   NEUROCOMPUTING

A Method for Short-Term Wind Power Prediction With Multiple Observation Points

(2012) Muhammad Khalid et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Wind power prediction based on numerical and statistical models

(2012) Christos Stathopoulos et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Assessment of the benefits of numerical weather predictions in wind power forecasting based on statistical methods

(2011) Maria Grazia De Giorgi et al.   ENERGY

Short-Term Prediction of Wind Farm Power: A Data Mining Approach

(2009) A. Kusiak et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING