MyJournals Home  

RSS FeedsEnergies, Vol. 13, Pages 1772: Multi-Step Short-Term Wind Speed Prediction using a Residual Dilated Causal Convolutional Network with Nonlinear Attention (Energies)

 
 

7 april 2020 16:00:07

 
Energies, Vol. 13, Pages 1772: Multi-Step Short-Term Wind Speed Prediction using a Residual Dilated Causal Convolutional Network with Nonlinear Attention (Energies)
 


Wind energy is the most used renewable energy worldwide second only to hydropower. However, the stochastic nature of wind speed makes it harder for wind farms to manage the future power production and maintenance schedules efficiently. Many wind speed prediction models exist that focus on advance neural networks and/or preprocessing techniques to improve the accuracy. Since most of these models require a large amount of historic wind data and are validated using the data split method, the application to real-world scenarios cannot be determined. In this paper, we present a multi-step univariate prediction model for wind speed data inspired by the residual U-net architecture of the convolutional neural network (CNN). We propose a residual dilated causal convolutional neural network (Res-DCCNN) with nonlinear attention for multi-step-ahead wind speed forecasting. Our model can outperform long-term short-term memory networks (LSTM), gated recurrent units (GRU), and Res-DCCNN using sliding window validation techniques for 50-step-ahead wind speed prediction. We tested the performance of the proposed model on six real-world wind speed datasets with different probability distributions to confirm its effectiveness, and using several error metrics, we demonstrated that our proposed model was robust, precise, and applicable to real-world cases.


 
179 viewsCategory: Biophysics, Biotechnology, Physics
 
Energies, Vol. 13, Pages 1773: The Effect of Deep Energy Retrofit on The Hourly Power Demand of Finnish Detached Houses (Energies)
Energies, Vol. 13, Pages 1774: Natural Gas Reservoir Characteristics and Non-Darcy Flow in Low-Permeability Sandstone Reservoir of Sulige Gas Field, Ordos Basin (Energies)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics


Copyright © 2008 - 2024 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Nachrichten