Latest Research in Predictive Time-Series Learning

Top Research Topics in Predictive Time-Series Learning

• Machine Learning — 62 papers
• Methodology — 10 papers
• Artificial Intelligence — 10 papers
• Forecasting Techniques and Applications — 9 papers
• Time Series Analysis and Forecasting — 5 papers
• Lightning and Electromagnetic Phenomena — 5 papers
• Power Systems Fault Detection — 4 papers
• Machine Learning — 4 papers
• Traffic Prediction and Management Techniques — 4 papers
• Meteorological Phenomena and Simulations — 3 papers

Highest-Cited Papers

1. Delay-coupled multi-branch reservoir computing with cross-pooled interactions for long-horizon chaotic dynamics forecasting
2. DeMa: dual-path delay-aware Mamba for efficient multivariate time series analysis
3. Transient phase-based faulty feeder identification for high-impedance faults via autocorrelation entropy difference
4. Prequential Streaming Evaluation of Stateful Time-Series Forecasters with Online Conformal Calibration: A Diagnostic Atlas and the preqts Harness
5. A new power transformer risk modelling considering cumulative surge effects in insulation coordination studies
6. Statistical Inference and Structural Break Detection in Nonstationary ARMA Model With Dependent Innovations
7. Prequential Streaming Evaluation of Stateful Time-Series Forecasters with Online Conformal Calibration: A Diagnostic Atlas and the preqts Harness
8. Automated Structure Detection in Non-Stationary Time Series Using Multi-Statistic Joint Analysis
9. Prequential Streaming Evaluation of Stateful Time-Series Forecasters with Online Conformal Calibration: A Diagnostic Atlas and the preqts Harness
10. An Intelligent Multi-Source Data Fusion Framework for Predicting Key Parameter Trends in Natural Gas Compressor Units
11. Temporal Structural Forecasting: Constructing the {4,5,6} Forecast Distribution Object
12. Temporal Structural Forecasting: Constructing the {4,5,6} Forecast Distribution Object
13. A Network Science Approach to Granular Time Series Segmentation
14. SETTer: Sparse-Encoder Transformer for Long-term Multivariate Time Series Forecasting
15. Conditional Independence Testing in Time Series
16. CoRe: Coherence and Relational Alignment for Multivariate Time Series Forecasting
17. QUALS: Corpus Equilibrium for Universal Forecasting via Pattern Quantization and Learnability Synchronization
18. Fast Training of Mixture-of-Experts for Time Series Forecasting via Expert Loss Integration
19. Which Histories Matter for Time Series Forecasting? Learning Predictive Relevance with Future Supervision
20. Earth and space observations meet complex algebras: from complex to octonions for multivariate autoregressive time series analysis

Sub-Regions

• Machine Learning — 91 papers
• Artificial Intelligence — 22 papers
• Methodology — 20 papers
• Econometrics — 12 papers
• Power Transformer Diagnostics and Insulation — 11 papers
• Power Systems Fault Detection — 8 papers