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1. Long-time prediction of multi-indicator water quality based on the improved WaveNet under time series decomposition and phase space reconstruction NSTL国家科技图书文献中心

Chen, Ying | Wu, Zhen ... - 《Measurement Science & Technology》 - 2025,36(1) - 1～22 - 共22页

摘要：-time* series and reduce the limitations of traditional* | decomposed into several subsequences through time series | Long-time* prediction of water quality* | long-time* prediction strategies, this paper proposes* | decomposition, phase space reconstruction, feature fusion and

关键词： long-time prediction | time series decomposition | phase space reconstruction | improved WaveNet

2. Integrating time series decomposition and multivariable approaches for enhanced cooling energy management NSTL国家科技图书文献中心

Fu Wing Yu | Wai Tung Ho ... - 《Energy》 - 2025,318(Mar.1) - 134740.1～134740.15 - 共15页

摘要： predictions. The method combines time series decomposition | Trend decomposition* using Loess to disaggregate the* | Predicting electricity consumption for | building cooling is a critical challenge for improving | sustainability, but existing simulation methods often overlook

关键词： Multivariate regression | Seasonal and trend decomposition using Loess | System coefficient of performance | Water-cooled chiller system

3. Detecting Multivariate Time Series Anomalies With Cascade Decomposition Consistency NSTL国家科技图书文献中心

Li, Ruoheng | Liu, Zhongyao ... - 《IEEE Transactions on Instrumentation and Measurement》 - 2025,74(Pt.1) - 2511614.1～2511614.14 - 共14页

摘要：Multivariate time* series anomaly detection is* | time series, insufficient mining of contextual | dependencies within the time series, and limited robustness | of decomposed time* series and contextual temporal* | series components, we propose a cascade decomposition

关键词： Time series analysis | Estimation | Anomaly detection | Training | Market research | Robustness | Accuracy | Predictive models | Correlation | Context modeling...

4. Revisiting the Efficacy of Signal Decomposition in AI-based Time Series Prediction NSTL国家科技图书文献中心

Dan Zhang | Kexin Jiang ... - 《The International Conference Optoelectronic Information and Optical Engineering (OIOE2024),Part One of Two Parts》 - International Conference Optoelectronic Information and Optical Engineering - 2025, - 135130M.1～135130M.10 - 共10页

摘要： signal decomposition* in AI-based time series prediction* | Time series prediction is a fundamental | paradigm in AI-driven time* series prediction is injecting* | error in time* series modeling, and the de facto* | decomposition methods, and sustaining progress in numerous

关键词： Signal processing | Time series prediction | Label leakage | Feature engineering | Re-investigation

5. An adaptive selection decomposition hybrid model for stock time series forecasting NSTL国家科技图书文献中心

Shuhan,Ge | Aijing,Lin - 《Nonlinear dynamics》 - 2025,113(5) - 4647～4669 - 共23页

摘要： Decomposition (EEMD) are adopted to decompose time series, and | prediction accuracy of stock time series. To this end, we | time series. To prove the validity of the proposed | design a novel Adaptive Selection Decomposition Hybrid | decomposition mode and the combination configuration based on

关键词： GABP | KNN | ARMA | ICEEMDAN | Adaptive selection decomposition hybrid model

6. TDMixer: Lightweight Long-Term Series Forecasting using Time-Continuous Embedding and Magnitude Decomposition NSTL国家科技图书文献中心

Hui Liu | Qiaoqiao Liu ... - 《Database Systems for Advanced Applications,Part II》 - International Conference on Database Systems for Advanced Applications | International Workshop on Big Data Management and Service | International Workshop on Graph Data Management and Analysis | International Workshop on Big Data Quality Management | Workshop on Emerging Results inData Science and Engineering - 2025, - 211～226 - 共16页

摘要：Time series forecasting plays a key role in | -term series* forecasting using time-continuous* | with deep learning-based series* forecasting methods* | embedding and magnitude decomposition. (1) To start, we | propose time-continuous embedding, a method that

关键词： Time series forecasting | Temporal embedding | Attention mechanism | MLP

7. Land subsidence monitoring using time-series InSAR based on coherence matrix decomposition of distributed scatterers NSTL国家科技图书文献中心

Qian He | Zhicong Wu - 《Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024),Part Two of Two Parts》 - International Conference on Geoscience and Remote Sensing Mapping - 2025, - 135062W.1～135062W.5 - 共5页

摘要：Time-series SAR interferometry (InSAR | matrix decomposition* to filter interferograms relevant* | phase was estimated by eigenvalue decomposition* of the* | ) combining persistent scatterers (PS) and distributed | scatterers (DS), has made significant progress recently. DS

关键词： Land subsidence | SAR interferometry (InSAR) | Distributed scatterers (DS) | Coherence matrix decomposition

8. Robust Time-Series InSAR Deformation Monitoring by Integrating Variational Mode Decomposition and Gated Recurrent Units NSTL国家科技图书文献中心

Peifeng Ma | Zeyu Jiao ... - 《IEEE journal of selected topics in applied earth observations and remote sensing》 - 2025,18 - 3208～3221 - 共14页 - 被引量：1

摘要： facilitated by time-series* interferometric synthetic* | the original time* series, the time series is* | of variational mode decomposition* and gated* | further eradicate noise from the reconstructed time | series, mitigating the influence of outliers and noise

关键词： Deformation | Monitoring | Delays | Noise | Time series analysis | Atmospheric modeling | Market research

9. Is it returning too hot? Time series segmentation and feature clustering of end-user substation faults in district heating systems NSTL国家科技图书文献中心

Leiria D. | Johra H.... - 《Applied energy》 - 2025,381(Mar.1) - 1.1～1.19 - 共19页

摘要： algorithm using time* series decomposition is suggested to* | © 2024 The AuthorsThis study explores the | challenges and advancements in collecting ground-truth data | to enhance fault diagnosis models for district | heating systems. Initiated by the need to address

关键词： District heating | Fault detection and diagnosis | Self-organizing maps | Substation performance assessment | Time series decomposition | Unsupervised learning

10. Soil moisture retrieval over soybean fields during growing season using polarimetric decomposition and time-series RCM data NSTL国家科技图书文献中心

Zhou, Xin | Wang, Jinfei ... - 《Computers and Electronics in Agriculture》 - 2025,229 - 共13页

摘要： applying polarimetric decomposition, specifically the | Random Volume over Ground (RVoG) decomposition, volume | polarimetric decomposition- based CD (PDCD) method, achieved | The change detection (CD) method using | synthetic aperture radar (SAR) has been proven effective

关键词： Soil moisture (SM) | Polarimetric decomposition | Compact polarimetry | RADARSAT Constellation Mission (RCM) | Change detection | Synthetic aperture radar (SAR)

摘要：-time series and reduce the limitations of traditional | decomposed into several subsequences through time series | Long-time prediction of water quality | long-time prediction strategies, this paper proposes | decomposition, phase space reconstruction, feature fusion and

关键词： long-time prediction | time series decomposition | phase space reconstruction | improved WaveNet

摘要： predictions. The method combines time series decomposition | Trend decomposition using Loess to disaggregate the | Predicting electricity consumption for | building cooling is a critical challenge for improving | sustainability, but existing simulation methods often overlook

关键词： Multivariate regression | Seasonal and trend decomposition using Loess | System coefficient of performance | Water-cooled chiller system

摘要：Multivariate time series anomaly detection is | time series, insufficient mining of contextual | dependencies within the time series, and limited robustness | of decomposed time series and contextual temporal | series components, we propose a cascade decomposition