Univariate Time Series Forecasting

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

6 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

29 shown of 29 papers with code (36 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
  21 Mar 2017 21 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  Multivariate time series forecasting is an important machine learning problem across many domains, including predictions of solar plant energy output, electricity consumption, and traffic jam situation.
• N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
  24 May 2019 18 repositories listed Syntology ran 10 of 39 samples · 29 unverified · 3 pointer-only (licence)
  We focus on solving the univariate times series point forecasting problem using deep learning.
• Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
  14 Dec 2020 14 repositories listed Syntology ran 62 of 76 samples · 14 unverified · 13 pointer-only (licence)
  Many real-world applications require the prediction of long sequence time-series, such as electricity consumption planning.
• AA-Forecast: Anomaly-Aware Forecast for Extreme Events
  21 Aug 2022 9 repositories listed
  Moreover, the framework employs a dynamic uncertainty optimization algorithm that reduces the uncertainty of forecasts in an online manner.
• SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
  17 Jun 2021 6 repositories listed Syntology ran 1 of 6 samples · 5 unverified
  One unique property of time series is that the temporal relations are largely preserved after downsampling into two sub-sequences.
• Temporal Pattern Attention for Multivariate Time Series Forecasting
  12 Sep 2018 4 repositories listed
  To obtain accurate prediction, it is crucial to model long-term dependency in time series data, which can be achieved to some good extent by recurrent neural network (RNN) with attention mechanism.
• TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
  29 Mar 2024 3 repositories listed Syntology ran 4 of 4 samples · 0 unverified
  Next, we employ TFB to perform a thorough evaluation of 21 Univariate Time Series Forecasting (UTSF) methods on 8, 068 univariate time series and 14 Multivariate Time Series Forecasting (MTSF) methods on 25 datasets.
• Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
  24 May 2020 3 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 1 pointer-only (licence)
  Modeling multivariate time series has long been a subject that has attracted researchers from a diverse range of fields including economics, finance, and traffic.
• Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach
  9 Oct 2017 3 repositories listed
  In particular, in terms of mean sMAPE accuracy, it consistently outperforms the baseline LSTM model and outperforms all other methods on the CIF2016 forecasting competition dataset.
• A Review of the Long Horizon Forecasting Problem in Time Series Analysis
  15 Jun 2025 1 repository listed
  The long horizon forecasting (LHF) problem has come up in the time series literature for over the last 35 years or so.
• AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
  14 Feb 2025 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  This study aims to tackle these critical limitations by introducing adapters; feature-space transformations that facilitate the effective use of pre-trained univariate time series FMs for multivariate tasks.
• GenTL: A General Transfer Learning Model for Building Thermal Dynamics
  23 Jan 2025 1 repository listed
  This method reduces the data required for a data-driven model of a target building by leveraging knowledge from a source building.
• TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting
  24 Sep 2024 1 repository listed
  Time series forecasting, while vital in various applications, often employs complex models that are difficult for humans to understand.
• Forecasting with Deep Learning: Beyond Average of Average of Average Performance
  24 Jun 2024 1 repository listed
  We address this limitation by proposing a novel framework for evaluating univariate time series forecasting models from multiple perspectives, such as one-step ahead forecasting versus multi-step ahead forecasting.
• Meta-learning and Data Augmentation for Stress Testing Forecasting Models
  24 Jun 2024 1 repository listed
  The proposed approach aims to model and characterize stress in univariate time series forecasting models, focusing on conditions where they exhibit large errors.
• Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study
  18 May 2024 1 repository listed
  Cross-validation approaches show the best performance for lag selection, but this performance is comparable with simple heuristics.
• Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution
  15 Aug 2023 1 repository listed
  The concatenating order of LSTM and SC in the proposed hybrid network provides an excellent capability of extraction of sequence-dependent features and other hierarchical spatial features.
• PHILNet: A Novel Efficient Approach for Time Series Forecasting using Deep Learning
  1 Jun 2023 1 repository listed
  Time series is one of the most common data types in the industry nowadays.
• A New Deep Learning Architecture withInductive Bias Balance for Transformer Oil Temperature Forecasting
  28 May 2023 1 repository listed
  In this work, we develop a new deep learning architecture that obtain an efficacy which compete with the best current architectures in transformer oil temperature forecasting while improve the efficacy.
• Feature-aligned N-BEATS with Sinkhorn divergence
  24 May 2023 1 repository listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)
  We propose Feature-aligned N-BEATS as a domain-generalized time series forecasting model.
• Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting
  5 May 2023 1 repository listed
  We compared the presented framework with a comprehensive set of baseline models trained 1) globally on the large meta-training set with diverse dynamics, and 2) individually on single dynamics, both with and without…
• LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
  23 Feb 2023 1 repository listed
  Many deep learning models have been proposed to improve the accuracy of CTS forecasting.
• Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting
  15 Dec 2022 1 repository listed
  Despite the notable advancements in numerous Transformer-based models, the task of long multi-horizon time series forecasting remains a persistent challenge, especially towards explainability.
• W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting
  8 Sep 2022 1 repository listed
  Deep learning utilizing transformers has recently achieved a lot of success in many vital areas such as natural language processing, computer vision, anomaly detection, and recommendation systems, among many others.
• Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms
  19 Jul 2022 1 repository listed Syntology ran 0 of 11 samples · 11 unverified
  This work studies the threats of adversarial attack on multivariate probabilistic forecasting models and viable defense mechanisms.
• Greykite: Deploying Flexible Forecasting at Scale at LinkedIn
  15 Jul 2022 1 repository listed
  We present Greykite, an open-source Python library for forecasting that has been deployed on over twenty use cases at LinkedIn.
• A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19
  8 Mar 2022 1 repository listed
  To this end, it is essential to develop an interpretable forecast model that supports managerial and organizational decision-making.
• On projection methods for functional time series forecasting
  10 May 2021 1 repository listed
  The second one is based on a selection of curves, termed \emph{the curve envelope}, that aims to be representative in shape and magnitude of the most recent functional observation, either a whole curve or the observed…
• Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN
  29 Mar 2019 1 repository listed
  To investigate probabilistic forecasting of ForGAN, we create a new dataset and demonstrate our method abilities on it.

Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.