Forecasting of wind speed under wind-fire coupling scenarios by combining HS-VMD and AM-LSTM-Reference-Cited by-同舟云学术

Forecasting of wind speed under wind-fire coupling scenarios by combining HS-VMD and AM-LSTM

Published:2023-11 Issue: Volume:77 Page:102270
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Lin Chuanying,Li Xingdong,Shi Tiefeng,Sheng Junhao,Sun Shufa,Wang Yangwei,Li Dandan

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference53 articles.

1. Machine-learning modelling of fire susceptibility in a forest-agriculture mosaic landscape of southern india;Achu;Ecol. Inform.,2021

2. Wsfnet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network;Acikgoz;Energy,2021

3. Tracking and classifying amazon fire events in near real time;Andela;Sci. Adv.,2022

4. A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment;Başakın;Neural Comput. Appl.,2021

5. Open data and machine learning to model the occurrence of fire in the ecoregion of llanos colombo-venezolanos;Barreto;Remote. Sens,2020

Cited by 7 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. Multivariate short-term wind speed prediction based on PSO-VMD-SE-ICEEMDAN two-stage decomposition and Att-S2S;Energy;2024-10

2. Novel hybrid data-driven modeling integrating variational modal decomposition and dual-stage self-attention model: Applied to industrial petrochemical process;Energy;2024-09

3. A short-term power load forecasting system based on data decomposition, deep learning and weighted linear error correction with feedback mechanism;Applied Soft Computing;2024-09

4. Improved network intrusion classification with attention-assisted bidirectional LSTM and optimized sparse contractive autoencoders;Expert Systems with Applications;2024-06

5. Enhancing short-term wind speed prediction based on an outlier-robust ensemble deep random vector functional link network with AOA-optimized VMD;Energy;2024-06