Zero-Shot Time Series Forecasting

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Overview

Zero-shot time series forecasting studies whether models pretrained on diverse real or synthetic sequences can predict new datasets without updating their parameters. Approaches include transformer and recurrent foundation models, synthetic-data training, covariate-aware prediction, and inference-time methods such as retrieval, context selection, and forecast correction. Benchmarks such as GIFT-Eval and fev-bench test performance across domains, while applications include energy, traffic, health, and finance. Results are often competitive when data are scarce or patterns transfer, but performance can lag specialized models when covariates, domain shifts, extreme events, or calibration matter; when and how to adapt a pretrained model remains an open question.

Latest papers

CardsList

83 papers11 papers in the last four weeks, down 15% on the four weeks before. 0.1% of all new papers.

  1. KairosAgent: Agentic Time Series Forecasting with Fused Semantic Reasoning

    May 28, 2026Kun Feng, Ziwei Shan, Yuchen Fang +6Multivariate Time Series ForecastingZero-Shot Time Series Forecasting

    ShanghaiTech University · Ant Group

  2. Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling

    May 26, 2026Yiding Liu, Yifan Hu, Hongjie Xia +5Multivariate Time Series ForecastingZero-Shot Time Series Forecasting

  3. ROAR: Retrieval Opportunity-Aware Refinement for Zero-Shot Time Series Forecasting

    May 24, 2026Jinjin Chi, Lei Feng, Yiming Wang +4Zero-Shot Time Series ForecastingTime Series Forecasting

    College of Computer Science and Technology, Jilin University, Changchun, China · College of Computing and Data Science, Nanyang Technological University, Singapore

  4. Assessing the Operational Viability of Foundation Models for Time Series Forecasting

    May 23, 2026Kavin Soni, Debanshu Das, Vamshi GuduguntlaZero-Shot Time Series ForecastingTime Series Forecasting

    Google, USA

  5. Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density

    May 17, 2026Jingru Fei, Kun Yi, Alex Xing Wang +3Zero-Shot Time Series ForecastingFrequency-Domain Feature Learning

    Beijing Institute of Technology · North China Institute of Computing Technology · State Information Center +4

  6. Empirical evaluation of Time Series Foundation Models for Day-ahead and Imbalance Electricity Price Forecasting in Belgium

    May 16, 2026Chi Bui, Maria Margarida Mascarenhas, Arnaud Verstraeten +1Zero-Shot Time Series ForecastingElectricity Price Forecasting

    ELECTA-ESAT (KU Leuven) Leuven, Belgium · ELECTA-ESAT(KU Leuven) and Gridual Leuven, Belgium

  7. ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks

    May 12, 2026Zhizhen Zhang, Hyemin Gu, Benjamin J. Zhang +6Zero-Shot Time Series ForecastingForecasting Benchmarks

    University of Massachusetts Amherst · University of North Carolina · SRI International +1

  8. Prior-Fitted Functional Flow: In-Context Generative Models for Pharmacokinetics

    Apr 19, 2026César Ojeda, Niklas Hartung, Wilhelm Huisinga +6Probabilistic Time Series ForecastingHealthcare

    University of Potsdam, Germany · Technical University Berlin, Germany · Freie Universität Berlin, Germany +2

  9. Predicting Power-System Dynamic Trajectories with Foundation Models

    Apr 16, 2026Haoran Li, Lihao Mai, Chenhan Xiao +2Neural Surrogate ModelingZero-Shot Time Series Forecasting

    School of Electrical, Computer and Energy Engineering at Arizona State University, Tempe, AZ 85281 USA · MOVEJ Analytics, Dayton, OH 45324 USA

  10. Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks

    Apr 9, 2026Mayuka Jayawardhana, Nihal Sharma, Kazem Meidani +3Multivariate Time Series ForecastingTime Series Forecasting

    University of Maryland · Capital One

  11. Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series

    Apr 6, 2026Annita Vapsi, Penghang Liu, Saheed Obitayo +8Synthetic Data GenerationTime Series Generation

    JPMorganChase

  12. Meteorology-Driven GPT4AP: A Multi-Task Forecasting LLM for Atmospheric Air Pollution in Data-Scarce Settings

    Mar 31, 2026Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-PhelanAir Quality PredictionLLM-Based Time Series Forecasting

    ADAPT SFI Research Centre, School of Computer Science, Technological University Dublin, Ireland · ADAPT SFI Research Centre, School of Computer Science, University College Dublin · School of Computer Science, Technological University Dublin, Ireland

  13. A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks

    Mar 23, 2026Anish Saha, Konstantin ShmakovZero-Shot Time Series ForecastingMeta-Learning

    Walmart Sunnyvale, USA

  14. Time-Aware Prior Fitted Networks for Zero-Shot Forecasting with Exogenous Variables

    Mar 16, 2026Andres Potapczynski, Ravi Kiran Selvam, Tatiana Konstantinova +7Exogenous Time Series ForecastingTime Series Forecasting

    Amazon Science, New York University · Amazon Science

  15. Not All Retrievals are Useful: Cross-Attention for Input-Aware RAG in Time Series Forecasting

    Mar 16, 2026Seunghan Lee, Jaehoon Lee, Jun Seo +7Zero-Shot Time Series ForecastingCross-Attention

    LG AI Research Seoul, South Korea

  16. JointFM-0.1: A Foundation Model for Multi-Target Joint Distributional Prediction

    Mar 14, 2026Stefan HackmannTime-Series Foundation ModelsProbabilistic Time Series Forecasting

    DataRobot Research

  17. Adapting Time Series Foundation Models through Data Mixtures

    Mar 3, 2026Thomas L. Lee, Edoardo M. Ponti, Amos StorkeyTime-Series Foundation ModelsZero-Shot Time Series Forecasting

    School of Informatics, University of Edinburgh.

  18. Time Series Foundation Models as Strong Baselines in Transportation Forecasting: A Large-Scale Benchmark Analysis

    Feb 27, 2026Javier Yanes-Pulido, Filipe RodriguesTime-Series Foundation ModelsZero-Shot Time Series Forecasting

    Technical University of Denmark, Kgs. Lyngby, Denmark

  19. Transformers for dynamical systems learn transfer operators in-context

    Feb 21, 2026Anthony Bao, Jeffrey Lai, William GilpinIn-Context LearningDynamical Systems

    Department of Electrical & Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, USA · The Oden Institute, The University of Texas at Austin, Austin, Texas 78712, USA · Department of Physics, The University of Texas at Austin, Austin, Texas 78712, USA

  20. Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting

    Feb 19, 2026Xinghong Fu, Yanhong Li, Georgios Papaioannou +1Time-Series Foundation ModelsZero-Shot Time Series Forecasting

    Massachusetts Institute of Technology · Allen Institute for AI · Qube Research & Technologies

  21. Time Series Foundation Models for Process Model Forecasting

    Dec 8, 2025Yongbo Yu, Jari Peeperkorn, Johannes De Smedt +1Zero-Shot Time Series ForecastingProcess Mining

    Research Center for Information Systems Engineering (LIRIS), KU Leuven, Belgium

  22. Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models

    Sep 30, 2025Kun Feng, Shaocheng Lan, Yuchen Fang +6Rotary Positional EmbeddingsZero-Shot Time Series Forecasting

    School of Information Science and Technology, ShanghaiTech University, Shanghai, China · Ant Group, Shanghai, China

  23. ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Cross-Modal Alignment Dataset

    May 15, 2025Chengsen Wang, Qi Qi, Zhongwen Rao +2Cross-Modal LearningMultivariate Time Series Forecasting

    Beijing University of Posts and Telecommunications · Huawei Noah’s Ark Lab