Two-stage decomposition and temporal fusion transformers for interpretable wind speed forecasting-Reference-Cited by-同舟云学术

Two-stage decomposition and temporal fusion transformers for interpretable wind speed forecasting

Published:2024-02 Issue: Volume:288 Page:129728
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Wu Binrong,Wang Lin^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference43 articles.

1. An integrated fuzzy MCDM and trend analysis approach for financial performance evaluation of energy companies in borsa istanbul sustainability index;Dağıstanlı;J Soft Comput Decision Anal,2023

2. Identifying the right policies for increasing the efficiency of the renewable energy transition with a novel fuzzy decision-making model;Dinçer;J Soft Comput Decision Anal,2023

3. Hybrid method based on random convolution nodes for short-term wind speed forecasting;Tatinati;IEEE Trans Ind Inf,2022

4. Wind speed forecasting based on model selection, fuzzy cluster, and multi-objective algorithm and wind energy simulation by Betz's theory;Zhang;Expert Syst Appl,2022

5. Distribution drift-adaptive short-term wind speed forecasting;Wang;Energy,2023

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. A reconstruction-based secondary decomposition-ensemble framework for wind power forecasting;Energy;2024-11

2. Interpretable wind power forecasting combining seasonal-trend representations learning with temporal fusion transformers architecture;Energy;2024-10

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

4. Statistical Comparison of Time Series Models for Forecasting Brazilian Monthly Energy Demand Using Economic, Industrial, and Climatic Exogenous Variables;Applied Sciences;2024-07-04

5. Interpretable short-term carbon dioxide emissions forecasting based on flexible two-stage decomposition and temporal fusion transformers;Applied Soft Computing;2024-07