Short-term offshore wind power forecasting - A hybrid model based on Discrete Wavelet Transform (DWT), Seasonal Autoregressive Integrated Moving Average (SARIMA), and deep-learning-based Long Short-Term Memory (LSTM)

Impacts of water depth increase on offshore floating wind turbine dynamics

(2021) Zi Lin et al.   OCEAN ENGINEERING

Short-term offshore wind speed forecast by seasonal ARIMA - A comparison against GRU and LSTM

(2021) Xiaolei Liu et al.   ENERGY

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

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

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

(2020) Adam Kisvari et al.   RENEWABLE ENERGY

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

(2019) Tongke Yuan et al.   Energies

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

An enhanced variable selection and Isolation Forest based methodology for anomaly detection with OES data

(2018) Luca Puggini et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

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

Using wavelet transforms to estimate surface temperature trends and dominant periodicities in Iran based on gridded reanalysis data

(2015) A. Araghi et al.   ATMOSPHERIC RESEARCH

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

(2015) Muhammad Qamar Raza et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS