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. Rollcast: Proper-Score Gated Rolling Anchors for Adaptive Probabilistic Time-Series Forecasting

    Sep 3, 2026Giancarlo VercellinoTime Series ForecastingProbabilistic Time Series Forecasting

    Independent Researcher

  2. A Quantum Variational Approach to Prototypical Recurrent Unit

    Sep 3, 2026Mahyar Sadeghi Garjan, Tommaso Cesari, Michel BarbeauQuantum Machine LearningRecurrent Neural Networks

    School of Electrical Engineering and Computer Science, University of Ottawa, Canada · School of Computer Science, Carleton University, Ottawa, Canada

  3. A Two-Stage Forecasting System for CPU Workload Prediction in Private Clouds

    Sep 3, 2026Ashir Javeed, Anton Borg, Håkan Grahn +3Time Series ForecastingCloud Computing

    Department of Computer Science, Blekinge Institute of Technology, 371 79, Sweden · Ericsson AB, 371 33 Karlskrona, Sweden

  4. CompEvo: Competition-Induced Evolution for Multi-Agent in News-Driven Time Series Forecasting

    Sep 3, 2026Yuxuan Zhang, Yangyang Feng, Yong Guan +6Time Series ForecastingSelf-Evolving Agents

    Sun Yat-sen University, Guangzhou, China · North China Electric Power University, Beijing, China · Unilumin Group Co., Ltd., Shenzhen, China

  5. Compositional Spectral Prompts for LLM-based Online Time Series Forecasting

    Sep 2, 2026Seungyoon Choi, Hyunchul Kim, Jae-Gil Lee +1Time Series ForecastingLLM-Based Time Series Forecasting

    KAIST Daejeon, Republic of Korea

  6. DynG-Diff: A State-Aware Dynamic Guidance Diffusion Framework for Probabilistic Time Series Forecasting

    Sep 2, 2026Zhente Zhang, Zhengwei Ni, Wei FanMultivariate Time Series ForecastingDiffusion Model Guidance

    School of Information and Electronic Engineering (Sussex Artificial Intelligence Institute), Zhejiang Gongshang University, Hangzhou, Zhejiang, China · School of Computer Science, University of Auckland, Auckland, New Zealand

  7. Toward Explainable and Policy-Aware AI for Carbon Credit Price Prediction: A Research Framework for Emerging Carbon Markets

    Sep 1, 2026Summaiya Unnisa Begum, Mohammed Nadeem Ullah, Mohammed Abdul Ghani KhanMultivariate Time Series ForecastingFinancial Forecasting

    Hyderabad, India · Riyadh, Saudi Arabia

  8. A Human-in-the-Loop Autonomous Agent for Industry Time Series Forecasting

    Aug 31, 2026Xiaoyu Tao, Mingyue Cheng, Ze Guo +4Electricity Price ForecastingTime Series Forecasting

    State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China, Hefei, China

  9. Foundation models for electricity price forecasting and battery arbitrage: Can they replace market-specific forecasting models?

    Aug 31, 2026Arkadiusz Lipiecki, Rafał WeronTabular Foundation ModelsElectricity Price Forecasting

    Department of Computational Social Science, Wrocław University of Science and Technology, Poland · Department of Operations Research and Business Intelligence, Wrocław University of Science and Technology, Poland · Center for Research in Energy (CoRE), Aarhus University, 8000 Aarhus C, Denmark

  10. Seasonality-Aware Hybrid Convolutional Transformer for Antarctic Sea Ice Concentration Forecasting

    Aug 31, 2026Danyang Li, John Taylor, Thang Bui +1Hybrid CNN-Transformer ArchitecturesTime Series Forecasting

    School of Computer Science, Australian National University, Canberra, ACT 2601, Australia · Yau Mathematical Sciences Center, Tsinghua University, Beijing, China

  11. Can LLMs Take the Pulse of the Economy? A Real-Time Evaluation of LLM Nowcasts on Macroeconomic Indicators

    Aug 31, 2026Xinyue Zhao, Ruiyi Zhang, Liqin Ye +3Time Series ForecastingLLM Agent Evaluation

    Georgia Institute of Technology · University of California San Diego

  12. Hybrid Semantic Context-Enhanced Ensemble Learning for Wind Power Ramp-Event Forecasting and Uncertainty-Aware Evaluation

    Aug 29, 2026Momina Liaqat Ali, Muhammad Abid, Muhammad Abdullah +1Wind Power ForecastingTime Series Forecasting

    Department of Industrial and Systems Engineering, University of Tennessee, Knoxville Knoxville, TN 37996, USA. · Department of Mechanical and Aerospace Engineering, University of Tennessee, Knoxville Knoxville, TN 37996, USA. · Department of Mechanical Engineering, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan. +1

  13. Multi-Step Forecasting of Grape Berry Temperature based on LSTM Model with Feed-Forward Attention

    Aug 29, 2026Srikanth Gorthi, L. G. Divyanth, Dattatray Bhalekar +2Time Series ForecastingLong Short-Term Memory Networks

    Center for Precision and Automated Agricultural Systems & Department of Biological Systems Engineering, Washington State University, Prosser, WA, USA · AgWeatherNet, Washington State University, Prosser, WA, USA · Department of Biological & Environmental Engineering, Cornell University, Ithaca, NY, USA +1

  14. Learning to Difference: Adaptive Reversible Differencing (AdaRDiff) for Time Series Forecasting

    Aug 28, 2026Morad Laglil, Younes Hlal, Marouane El Hadari +2Time Series ForecastingLong-Term Time Series Forecasting

    Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG, 38000 Grenoble, France · Savoye, 21600 Longvic, France

  15. Generalized Gibbs Ensemble Weighting for Forecast Combination

    Aug 28, 2026Prasen R. Nuthanakaluva, Nava K. GaddamEnsemble LearningTime Series Forecasting

    Independent Researcher Oxford, United Kingdom · Department of Physics Utrecht University Utrecht, Netherlands

  16. What Will This Copper Look Like Later? Forecasting Surface Appearance and Rendering It as a PBR Material

    Aug 28, 2026Teejuta Sriwaranon, Borworntat Dendumrongkul, Tanapat Chamted +1Time Series Forecasting

    Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand · Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

  17. SAGE: Variate-Wise Semantic Augmentation for Vision-Language Time Series Forecasting

    Aug 27, 2026Haizhao Fan, Xinyi LeTime Series ForecastingMultivariate Time Series Forecasting

    Shanghai Jiao Tong University Shanghai, China

  18. Seasonal and Quantum-inspired Models for Neutron Monitor Time Series Forecasting

    Aug 26, 2026Krishna Bhatia, Shalini Devendrababu, Srinjoy GangulyTime Series ForecastingQuantum-Inspired ML

    Quantum AI Lab, Fractal AI Research, India

  19. CEDAR: Controlled and Event-Driven Demand Forecasting via Residual Decomposition

    Aug 26, 2026Junjie Meng, Ranxu Zhang, Zi-an Zhang +6Time Series Forecasting

    School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei, China · Alibaba Group, Hangzhou, China · Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China +1

  20. Modeling spatio-temporal locality in multi-step forecasting of geo-referenced time series

    Aug 26, 2026Annunziata D'Aversa, Gianvito Pio, Michelangelo CeciTime Series ForecastingSpatiotemporal Forecasting

  21. When Does Context Routing Help? A Systematic Study of Multi-Modal Fusion in Time Series Forecasting

    Aug 25, 2026Ruizhe Zhou, Gaoyuan Du, Xiaoyang Liu +4Time Series ForecastingMultimodal Fusion

    Amazon.com Seattle, USA · University of Tennessee, Knoxville Knoxville, USA · WorkMagic New York, USA +1

  22. Single State Update Predictive Coding training for Time Series Forecasting and Anomaly Detection

    Aug 25, 2026Matteo Cardoni, Sam LerouxPredictive CodingOnline Anomaly Detection

    IDLab, Department of Information and Technology, Ghent University—imec, 9052 Ghent, Belgium

  23. Predictability of El Niño from Delayed Observations

    Aug 25, 2026Francisco J. Beron-VeraTime Series Forecasting

    Department of Atmospheric Sciences Rosenstiel School of Marine, Atmospheric & Earth Science University of Miami Miami, FL 33149, USA

  24. Causal Analysis for Time Series Foundation Models

    Aug 25, 2026Mathis Jander, Wouter van Heeswijk, Martijn MesTime-Series Foundation ModelsTime Series Forecasting

    Faculty of Behavioral, Management and Social Sciences, University of Twente, Enschede, Netherlands · European Central Bank, Frankfurt am Main, Germany

  25. PGP-Clinical-TimeKAN: Prior-Guided Joint Probabilistic Forecasting of Clinical Trajectories

    Aug 24, 2026Weizhi Nie, Rihao Chang, Weijie Wang +1Time Series ForecastingMultivariate Time Series Forecasting

    Tianjin University

  26. In-Context Inpainting for Time Series Forecasting

    Aug 24, 2026Thang Nguyen, Dung Nguyen, Romero Morais +1Time Series ForecastingZero-Shot Time Series Forecasting

    Applied Artificial Intelligence Initiative, Deakin University, Geelong, Victoria 3216, Australia

  27. MetaCaster: Meta-Harness-Optimized Agent for End-to-End Few-Shot Learning of Lightweight Time Series Forecasters

    Aug 24, 2026ChengAo Shen, Wenchao Yu, Fangyu Wu +6Time Series ForecastingFew-Shot Learning

    University of Houston · NEC Labs · University of Waterloo +3

  28. Which Histories Matter for Time Series Forecasting? Learning Predictive Relevance with Future Supervision

    Aug 24, 2026Yong-Hoon Choi, Kwang-Hyun Park, Youngjin ChoLearning to RankTime Series Forecasting

    Division of Robotics, Kwangwoon University Seoul 01897, Republic of Korea

  29. Structured Neural Modeling of Daily Arctic Sea-Ice Concentration Evolution: Physical-Trajectory-Driven Learning and Forecast-Domain Adaptation

    Aug 22, 2026Maqun Zhang, Feng Gao, Wankun Chen +3Spatiotemporal ForecastingTime Series Forecasting

    State Key Laboratory of Physical Oceanography and Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China · School of Psychology and Neuroscience, University of Glasgow, Glasgow G12 8QQ, U.K.

  30. Global tree forecasters collapse at the hierarchical aggregate: a five-panel failure characterization

    Aug 21, 2026Md Rezwanul Islam, Wael MohammedTime Series ForecastingModel Collapse

    Field Nation LLC, Minneapolis, MN, USA