Multi-Step Wind Power Forecasting with Stacked Temporal Convolutional Network (S-TCN)

Chatterjee Correlation Coefficient: A robust alternative for classic correlation methods in geochemical studies- (including “TripleCpy” Python package)

(2022) Behnam Sadeghi   ORE GEOLOGY REVIEWS

A Novel Forecasting Model for Solar Power Generation by a Deep Learning Framework With Data Preprocessing and Postprocessing

(2022) Quoc-Thang Phan et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

A review of wind speed and wind power forecasting with deep neural networks

(2021) Yun Wang et al.   APPLIED ENERGY

Short-term prediction for wind power based on temporal convolutional network

(2020) Ruijin Zhu et al.   Energy Reports

Short-term wind speed forecasting using recurrent neural networks with error correction

(2020) Jikai Duan et al.   ENERGY

Direct Interval Forecast of Uncertain Wind Power Based on Recurrent Neural Networks

(2018) Zhichao Shi et al.   IEEE Transactions on Sustainable Energy

Gated Recurrent Unit Network-Based Short-Term Photovoltaic Forecasting

(2018) Yusen Wang et al.   Energies

Non-parametric hybrid models for wind speed forecasting

(2017) Qinkai Han et al.   ENERGY CONVERSION AND MANAGEMENT

One day ahead wind speed forecasting: A resampling-based approach

(2016) Weigang Zhao et al.   APPLIED ENERGY

ARIMA-Based Frequency-Decomposed Modeling of Wind Speed Time Series

(2016) Kalid Yunus et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Recursive wind speed forecasting based on Hammerstein Auto-Regressive model

(2015) Othman Ait Maatallah et al.   APPLIED ENERGY

Day-ahead wind speed forecasting using f-ARIMA models

(2008) Rajesh G. Kavasseri et al.   RENEWABLE ENERGY