Ldformer: 面向长期电力预测的并行神经网络模型-Reference-Cited by-同舟云学术

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Ldformer: 面向长期电力预测的并行神经网络模型

Published:2023-09 Issue:9 Volume:24 Page:1287-1301
ISSN:2095-9184
Container-title:Frontiers of Information Technology & Electronic Engineering
language:en
Short-container-title:Front Inform Technol Electron Eng

Author:

Tian Ran^ORCID,Li Xinmei^ORCID,Ma Zhongyu^ORCID,Liu Yanxing^ORCID,Wang Jingxia^ORCID,Wang Chu^ORCID

Publisher

Zhejiang University Press

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing

Link

https://link.springer.com/content/pdf/10.1631/FITEE.2200540.pdf

Reference37 articles.

1. Cao JS, Wang JH, 2019. Stock price forecasting model based on modified convolution neural network and financial time series analysis. Int J Commun Syst, 32(12):e3987. https://doi.org/10.1002/dac.3987

2. Chakraborty T, Chattopadhyay S, Ghosh I, 2019. Forecasting dengue epidemics using a hybrid methodology. Phys A Stat Mech Appl, 527:121266. https://doi.org/10.1016/j.physa.2019.121266

3. Chen JF, Wang WM, Huang CM, 1995. Analysis of an adaptive time-series autoregressive moving-average (ARMA) model for short-term load forecasting. Electr Power Syst Res, 34(3):187–196. https://doi.org/10.1016/0378-7796(95)00977-1

4. Chen XY, Sun LJ, 2022. Bayesian temporal factorization for multidimensional time series prediction. IEEE Trans Patt Anal Mach Intell, 44(9):4659–4673. https://doi.org/10.1109/TPAMI.2021.3066551

5. Chuku C, Simpasa A, Oduor J, 2019. Intelligent forecasting of economic growth for developing economies. Int Econ, 159:74–93. https://doi.org/10.1016/j.inteco.2019.06.001

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1. Long Time Series Prediction of Meteorological Data Based on Improved Autoformer Model;2023 2nd International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP);2023-10-27

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