Decomposition-Aware Framework for Probabilistic and Flexible Time Series Forecasting in Aerospace Electronic Systems
Degradation prediction for aerospace electronic systems plays a crucial role in maintenance work. This paper proposes a concise and efficient framework for multivariate time series forecasting that is capable of handling diverse sequence representations through a Channel-Independent (CI) strategy. T...
Saved in:
Main Authors: | Yuanhong Mao, Xin Hu, Yulang Xu, Yilin Zhang, Yunan Li, Zixiang Lu, Qiguang Miao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/13/2/262 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model
by: Amir Miraki, et al.
Published: (2025-01-01) -
Quantile Regression for Probabilistic Electricity Price Forecasting in the U.K. Electricity Market
by: Yuki Osone, et al.
Published: (2025-01-01) -
Adapting Ensemble‐Calibration Techniques to Probabilistic Solar‐Wind Forecasting
by: N. O. Edward‐Inatimi, et al.
Published: (2024-12-01) -
Decomposition of a time series and forecasting on the example of PJSC Novolipetsk Metallurgical Combine shares
by: O. V. Baykova, et al.
Published: (2022-09-01) -
Probabilistic forecasting of multiple plant day-ahead renewable power generation sequences with data privacy preserving
by: Hong Liu, et al.
Published: (2025-01-01)