An ultra-short-term wind speed prediction model using LSTM and CNN-Reference-Cited by-同舟云学术

An ultra-short-term wind speed prediction model using LSTM and CNN

Published:2022-02-16 Issue:8 Volume:81 Page:10819-10837
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Xu Xining^ORCID,Wei Yuzhou

Funder

fundamental research funds for the central universities

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-12215-5.pdf

Reference24 articles.

1. Asghar AB, Liu XD (2018) Estimation of wind speed probability distribution and wind energy potential using adaptive neuro-fuzzy methodology. Neurocomputing 287:58–67

2. Bandarathilake HMDP (2018) Rathnamali Palamakumbura, a stochastic differential equation based wind speed forecasting model. ICSBE:227–238

3. Cui XQ, Zhou XL, Fu J, Dai J, Liu J (2016) Research on level standards of high-impact weather over high-speed railway safety operation. J Catastrophol 31(03):26–30

4. Gong XL, Kong LS, Yuan CL, Xiao HQ (2017) Nonlinear time series prediction model based on particle swarm optimization B-spline network. J Electronic Measurement Instrumentation 31(12):1890–1895

5. Graves A (2012) Long short-term memory. Berlin: Springer 2018:1735–1780

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model;Engineering Applications of Artificial Intelligence;2024-09

2. Arctic short-term wind speed forecasting based on CNN-LSTM model with CEEMDAN;Energy;2024-07

3. Wind Speed Forecasting Using an Ensemble Deep Random Vector Functional Link Neural Network Based on Parsimonious Channel Mixing;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Quick large-scale spatiotemporal flood inundation computation using integrated Encoder-Decoder LSTM with time distributed spatial output models;Journal of Hydrology;2024-05

5. Wind speed prediction and reconstruction based on improved grey wolf optimization algorithm and deep learning networks;Computers and Electrical Engineering;2024-03