Data-augmented sequential deep learning for wind power forecasting

A novel genetic LSTM model for wind power forecast

(2021) Farah Shahid et al.   ENERGY

Comparative study of data-driven short-term wind power forecasting approaches for the Norwegian Arctic region

(2021) Hao Chen et al.   Journal of Renewable and Sustainable Energy

Wind power potential and intermittency issues in the context of climate change

(2021) Yiling Cai et al.   ENERGY CONVERSION AND MANAGEMENT

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

(2020) Shahram Hanifi et al.   Energies

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

Review of wind power scenario generation methods for optimal operation of renewable energy systems

(2020) Jinghua Li et al.   APPLIED ENERGY

Short-term wind power forecasting approach based on Seq2Seq model using NWP data

(2020) Yu Zhang 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

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

(2020) Adam Kisvari et al.   RENEWABLE ENERGY

A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting

(2020) Ramon Gomes da Silva et al.   ENERGY

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods

(2019) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

A review of deep learning for renewable energy forecasting

(2019) Huaizhi Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Ultra-short term wind prediction with wavelet transform, deep belief network and ensemble learning

(2019) He Jiajun et al.   ENERGY CONVERSION AND MANAGEMENT

Ensemble methods for wind and solar power forecasting—A state-of-the-art review

(2015) Ye Ren et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

On the management of wind power intermittency

(2013) Ehsan Rahimi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS