Wind power forecasting – A data-driven method along with gated recurrent neural network

A novel deep learning ensemble model with data denoising for short-term wind speed forecasting

(2020) Zhiyun Peng et al.   ENERGY CONVERSION AND MANAGEMENT

A Critical Review of Wind Power Forecasting Methods—Past, Present and Future

(2020) Shahram Hanifi et al.   Energies

Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network

(2020) Zi Lin et al.   ENERGY

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

Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network

(2020) Sinvaldo Rodrigues Moreno et al.   ENERGY CONVERSION AND MANAGEMENT

Wind power prediction based on high-frequency SCADA data along with isolation forest and deep learning neural networks

(2020) Zi Lin et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Gearbox Fault Prediction of Wind Turbines Based on a Stacking Model and Change-Point Detection

(2019) Tongke Yuan et al.   Energies

Long short-term memory recurrent neural network for modeling temporal patterns in long-term power forecasting for solar PV facilities: Case study of South Korea

(2019) Yoonhwa Jung et al.   JOURNAL OF CLEANER PRODUCTION

Improvement of reliability and wind power generation based on wind turbine real-time condition assessment

(2019) Yongchao Zhu et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Blade shape optimization of the Savonius wind turbine using a genetic algorithm

(2018) C.M. Chan et al.   APPLIED ENERGY

Aerodynamic optimization for variable-speed wind turbines based on wind energy capture efficiency

(2018) Minghui Yin et al.   APPLIED ENERGY

Lifetime extension of onshore wind turbines: A review covering Germany, Spain, Denmark, and the UK

(2018) Lisa Ziegler et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Short-term wind power prediction based on data mining technology and improved support vector machine method: A case study in Northwest China

(2018) Cunbin Li et al.   JOURNAL OF CLEANER PRODUCTION

Using Deep Learning to Predict Sentiments: Case Study in Tourism

(2018) C. A. Martín et al.   COMPLEXITY

Machine learning methods for wind turbine condition monitoring: A review

(2018) Adrian Stetco et al.   RENEWABLE ENERGY

Optimal decision-making via binary decision diagrams for investments under a risky environment

(2017) Alberto Pliego Marugán et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Optimization of wind turbine layout position in a wind farm using a newly-developed two-dimensional wake model

(2016) Xiaoxia Gao et al.   APPLIED ENERGY

A hybrid neuro-fuzzy power prediction system for wind energy generation

(2016) Ahmed E. Saleh et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Experimental power curve of small-size wind turbines in turbulent urban environment

(2015) Luisa C. Pagnini et al.   APPLIED ENERGY

Current status and future advances for wind speed and power forecasting

(2014) Jaesung Jung et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Wind turbine reliability analysis

(2013) Jesús María Pinar Pérez et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Optimal Energy Commitments with Storage and Intermittent Supply

(2011) Jae Ho Kim et al.   OPERATIONS RESEARCH

Current methods and advances in forecasting of wind power generation

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