Time Series Forecasting

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139 papers in the last four weeks, up 101% on the four weeks before. 0.9% of all new papers.

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  1. End-to-End Learning for Partially-Observed Time Series with PyPOTS

    Apr 27, 2026Wenjie Du, Yiyuan Yang, Tianxiang Zhan +1Irregular Time-Series ModelingTime Series Imputation

    PyPOTS Research · PyPOTS Research & Univ. of Oxford · Squirrel Ai Learning

  2. DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting

    Apr 27, 2026Naveen MysoreLong-Term Time Series ForecastingExplainable Time Series Forecasting

  3. Context-Aware Hospitalization Forecasting Evaluations for Decision Support using LLMs

    Apr 27, 2026Rhea Makkuni, Ananya JoshiHealthcareTime Series Forecasting

    Johns Hopkins University Baltimore, USA

  4. Machine Learning and Deep Learning Models for Short Term Electricity Price Forecasting in Australia's National Electricity Market

    Apr 26, 2026Wei Lu, Jay Wang, Dingli Duan +3Gradient-Boosted Decision TreesElectricity Price Forecasting

    School of Engineering, Computer & Mathematical Sciences, Auckland University of Technology (AUT), Auckland 1010, New Zealand · Department of Thermal Energy and Power Engineering, Yantai University, Yantai, China · Department of Building Environment and Equipment, School of Civil Engineering, Hefei University of Technology, Hefei, China +1

  5. Time-Series Forecasting in Safety-Critical Environments: An EU-AI-Act-Compliant Open-Source Package / Zeitreihenprognose in sicherheitskritischen Umgebungen: Ein KI-VO-konformes Open-Source-Paket

    Apr 26, 2026Thomas Bartz-Beielstein, Eva BartzAI AssuranceTime Series Forecasting

    Bartz & Bartz GmbH, 51643 Gummersbach, Deutschland

  6. Autocorrelation Reintroduces Spectral Bias in KANs for Time Series Forecasting

    Apr 26, 2026Chen Zeng, Jiahui Wang, Qiao WangTime Series ForecastingKolmogorov-Arnold Networks

    School of Information Science and Engineering, Southeast University, Nanjing, China · School of Economics and Management, Southeast University, Nanjing, China · both the School of Information Science and Engineering and the School of Economics and Management, Southeast University, Nanjing, China

  7. Interpretable Physics-Informed Load Forecasting for U.S. Grid Resilience: SHAP-Guided Ensemble Validation in Hybrid Deep Learning Under Extreme Weather

    Apr 26, 2026Md Abubakkar, Sajib Debnath, Md. Uzzal MiaHybrid CNN-Transformer ArchitecturesTime Series Forecasting

    Dept. of Computer Science, Midwestern State University, Dallas, TX, USA · O&M Analytics, AES Clean Energy, The AES Corporation, Louisville, CO, USA · Dept. of Information and Communication Engineering, Pabna University of Science and Technology, Bangladesh

  8. GeoCert: Certified Geometric AI for Reliable Forecasting

    Apr 25, 2026Regina Zhang, Zongru Li, Honggang Wen +4Neural Network VerificationTime Series Forecasting

    Department of Biomedical Informatics & Data Science, Yale University, US · School of Computing and Data Science, Nanyang Technological University, Singapore. · Department of Computer Science, The University of Hong Kong, Hong Kong SAR +1

  9. Liquid Neural Network Models for Natural Gas Spot Price Time-Series Forecasting

    Apr 24, 2026Yiqian Liu, Jiayi Niu, Adam Kelleher +1Liquid Neural NetworksTime Series Forecasting

    Department of Data Science, Columbia University New York, NY, USA

  10. FETS Benchmark: Foundation Models Outperform Dataset-specific Machine Learning in Energy Time Series Forecasting

    Apr 24, 2026Marco Obermeier, Marco Pruckner, Florian Haselbeck +1Time Series ForecastingForecasting Benchmarks

    Julius-Maximilians-Universität Würzburg, Modeling and Simulation Lab, Am Hubland, Würzburg, 97074, Germany · Weihenstephan-Triesdorf University of Applied Sciences, Smart Farming, Am Staudengarten 1, Freising, 85354, Germany · Weihenstephan-Triesdorf University of Applied Sciences, Digital Energy Transition, Hans-Carl-von-Carlowitz-Platz 3, Freising, 85354, Germany

  11. Hybrid Deep Learning Approach for Coupled Demand Forecasting and Supply Chain Optimization

    Apr 23, 2026Nusrat Yasmin Nadia, Md Habibul Arif, Habibor Rahman Rabby +3Time Series Forecasting

    Department of Information Technology, Washington University of Science and Technology, , Alexandria, 22314, VA, USA · Department of Information Technology, University of the Potomac, , Washington, D.C., 20005, DC, USA · Department of Computer Science, Campbellsville University, , Louisville, 40220, KY, USA +2

  12. StormNet: Improving storm surge predictions with a GNN-based spatio-temporal offset forecasting model

    Apr 22, 2026Noujoud Nader, Stefanos Giaremis, Clint Dawson +3Time Series ForecastingSpatiotemporal Forecasting

    Center for Computation and Technology, Louisiana State University, Baton Rouge, 70803, LA, US. · Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece. · Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, 78712, TX, US.

  13. Cold-Start Forecasting of New Product Life-Cycles via Conditional Diffusion Models

    Apr 22, 2026Ruihan Zhou, Zishi Zhang, Jinhui Han +2Time Series ForecastingConditional Diffusion Models

    Guanghua School of Management, Peking University, Beijing 100871, China · Department of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology, Hong Kong SAR, China

  14. A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence

    Apr 22, 2026Antoine Heranval, Olivier Lopez, Didier Ngatcha +1Financial ServicesTime Series Forecasting

    BioSP · Biostatistiques et Processus Spatiaux (BioSP), INRAE, Avignon, France · CREST +3

  15. A Multi-Plant Machine Learning Framework for Emission Prediction, Forecasting, and Control in Cement Manufacturing

    Apr 21, 2026Sheikh Junaid Fayaz, Nestor D. Montiel-Bohorquez, Wilson Ricardo Leal da Silva +4Time Series Forecasting

    Civil and Environmental Engineering, Indian Institute of Technology Delhi, Hauz Khas, 110016, New Delhi, India · Politecnico di Milano, Department of Energy, Lambruschini 4A, 20156, Milan, Italy · Fuller Technologies, 2450 Copenhagen, Denmark +1

  16. Quantum inspired qubit qutrit neural networks for real time financial forecasting

    Apr 20, 2026Kanishk Bakshi, Kathiravan SrinivasanQuantitative FinanceTime Series Forecasting

    School of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, India.

  17. CAARL: In-Context Learning for Interpretable Co-Evolving Time Series Forecasting

    Apr 20, 2026Etienne Tajeuna, Patrick Asante Owusu, Armelle Brun +1Explainable Time Series ForecastingTime Series Forecasting

  18. SPaRSe-TIME: Saliency-Projected Low-Rank Temporal Modeling for Efficient and Interpretable Time Series Prediction

    Apr 19, 2026K. A. ShahriarTime Series ForecastingTime Series Decomposition

    Department of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology Dhaka-1205, Bangladesh

  19. Extraction of informative statistical features in the problem of forecasting time series generated by It{ô}-type processes

    Apr 18, 2026Victor Korolev, Mikhail Ivanov, Tatiana Kukanova +4Stochastic Differential EquationsTime Series Forecasting

    Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics · Moscow Center for Fundamental and Applied Mathematics · Federal Research Center “Computer Science and Control”, Russian Academy of Sciences +2

  20. TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning

    Apr 18, 2026Siyang Li, Yize Chen, Zijie Zhu +4Time Series ForecastingOOD Generalization

    HKUST(GZ) Guangzhou, China · University of Alberta Edmonton, Canada · Alibaba Cloud Guangzhou, China +3

  21. The CTLNet for Shanghai Composite Index Prediction

    Apr 18, 2026Haibin JiaoMultivariate Time Series ForecastingHybrid CNN-Transformer Architectures

    Independent Researcher

  22. Chronax: A Jax Library for Forecasting and Conformal Inference

    Apr 17, 2026Xan Carey, Arsh Singh, Yash Deshmukh +8Time Series Forecasting

    Simulacrum New York City, NY, USA

  23. Convolutionally Low-Rank Models with Modified Quantile Regression for Interval Time Series Forecasting

    Apr 17, 2026Miaoxuan Zhu, Yi Yu, Yuyang Li +2Quantile RegressionTime Series Forecasting

    Southeast University

  24. Assessing the Performance-Efficiency Trade-off of Foundation Models in Probabilistic Electricity Price Forecasting

    Apr 16, 2026Jan Niklas Lettner, Hadeer El Ashhab, Veit Hagenmeyer +1Electricity Price ForecastingTime Series Forecasting

    Karlsruhe Institute of Technology · Karlsruhe, Germany

  25. TempusBench: An Evaluation Framework for Time-Series Forecasting

    Apr 13, 2026Denizalp Goktas, Gerardo Riaño-Briceño, Omkar Tekawade +14Time Series ForecastingForecasting Benchmarks

    Simulacrum New York City, NY, USA

  26. On Dominant Manifolds in Reservoir Computing Networks

    Apr 7, 2026Noa Kaplan, Alberto Padoan, Anastasia BizyaevaTime Series ForecastingReservoir Computing

  27. Channel-wise Retrieval for Multivariate Time Series Forecasting

    Apr 7, 2026Junhyeok Kang, Jun Seo, Soyeon Park +4Multivariate Time Series ForecastingTime Series Forecasting

    LG AI Research, Republic of Korea

  28. Rethinking Multimodal Fusion for Time Series: Text Modalities Need Constrained Fusion

    Mar 23, 2026Seunghan Lee, Jun Seo, Jaehoon Lee +7Cross-Modal LearningTime Series Forecasting

    LG AI Research Seoul, South Korea

  29. Deep Time-Series Forecasting in 10 Years: A Survey

    Mar 20, 2026Hao Wang, Licheng Pan, Qingsong Wen +12Time Series Forecasting

    School of Intelligence Science and Technology, Peking University, Beijing 100871, China · School of Cyber Science and Technology, Zhejiang University, Hangzhou, Zhejiang 310027, China · Squirrel AI Learning, Bellevue, WA 98004, USA +7

  30. Extending SSMs with the Exponentially Weighted Signature

    Mar 19, 2026Alexandre Bloch, Benjamin Walker, Joël Mouterde +3Dynamical SystemsTime Series Classification

    Mathematical Institute, University of Oxford · SKF · Department of Mathematics, Imperial College London