| TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods | Mar 29, 2024 | BenchmarkingMultivariate Time Series Forecasting | CodeCode Available | 5 | 5 |
| Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms | Jul 19, 2022 | Adversarial AttackMultivariate Time Series Forecasting | CodeCode Available | 5 | 5 |
| N-BEATS: Neural basis expansion analysis for interpretable time series forecasting | May 24, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 3 | 5 |
| Greykite: Deploying Flexible Forecasting at Scale at LinkedIn | Jul 15, 2022 | Anomaly DetectionTime Series | CodeCode Available | 3 | 5 |
| W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting | Sep 8, 2022 | Anomaly DetectionRecommendation Systems | CodeCode Available | 1 | 5 |
| AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting | Feb 14, 2025 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 1 | 5 |
| A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19 | Mar 8, 2022 | Correlated Time Series ForecastingCOVID-19 Modelling | CodeCode Available | 1 | 5 |
| Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks | May 24, 2020 | Graph LearningGraph Neural Network | CodeCode Available | 1 | 5 |
| Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting | Dec 14, 2020 | DecoderMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| LightCTS: A Lightweight Framework for Correlated Time Series Forecasting | Feb 23, 2023 | Computational EfficiencyCorrelated Time Series Forecasting | CodeCode Available | 1 | 5 |
| Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks | Mar 21, 2017 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution | Aug 15, 2023 | Data AblationLoad Forecasting | CodeCode Available | 1 | 5 |
| Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting | Dec 15, 2022 | DecoderSaliency Detection | CodeCode Available | 1 | 5 |
| Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting | May 5, 2023 | Meta-LearningTime Series | CodeCode Available | 1 | 5 |
| SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction | Jun 17, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| AA-Forecast: Anomaly-Aware Forecast for Extreme Events | Aug 21, 2022 | Anomaly ForecastingMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| Forecasting with Deep Learning: Beyond Average of Average of Average Performance | Jun 24, 2024 | Time Series ForecastingUnivariate Time Series Forecasting | CodeCode Available | 0 | 5 |
| GenTL: A General Transfer Learning Model for Building Thermal Dynamics | Jan 23, 2025 | Deep LearningTransfer Learning | CodeCode Available | 0 | 5 |
| Feature-aligned N-BEATS with Sinkhorn divergence | May 24, 2023 | Domain GeneralizationRepresentation Learning | CodeCode Available | 0 | 5 |
| TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting | Sep 24, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 | 5 |
| A Review of the Long Horizon Forecasting Problem in Time Series Analysis | Jun 15, 2025 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 0 | 5 |
| Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study | May 18, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 | 5 |
| Temporal Pattern Attention for Multivariate Time Series Forecasting | Sep 12, 2018 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 0 | 5 |
| On projection methods for functional time series forecasting | May 10, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| PHILNet: A Novel Efficient Approach for Time Series Forecasting using Deep Learning | Jun 1, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 0 | 5 |
| Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN | Mar 29, 2019 | Generative Adversarial NetworkProbabilistic Time Series Forecasting | CodeCode Available | 0 | 5 |
| Meta-learning and Data Augmentation for Stress Testing Forecasting Models | Jun 24, 2024 | Data AugmentationMeta-Learning | CodeCode Available | 0 | 5 |
| A New Deep Learning Architecture withInductive Bias Balance for Transformer Oil Temperature Forecasting | May 28, 2023 | Inductive BiasTime Series | CodeCode Available | 0 | 5 |
| Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach | Oct 9, 2017 | BenchmarkingClustering | CodeCode Available | 0 | 5 |
| Leveraging Non-Decimated Wavelet Packet Features and Transformer Models for Time Series Forecasting | Mar 13, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 | 0 |
| ModelRadar: Aspect-based Forecast Evaluation | Mar 31, 2025 | Time SeriesTime Series Forecasting | —Unverified | 0 | 0 |
| Univariate Long-Term Municipal Water Demand Forecasting | May 18, 2021 | Demand ForecastingManagement | —Unverified | 0 | 0 |
| DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation | Oct 19, 2020 | Domain AdaptationTime Series | —Unverified | 0 | 0 |
| Nowcasting of COVID-19 confirmed cases: Foundations, trends, and challenges | Oct 10, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| PSF : Introduction to R Package for Pattern Sequence Based Forecasting Algorithm | Jun 17, 2016 | ClusteringPrediction | —Unverified | 0 | 0 |
| Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting | Jan 6, 2022 | Load ForecastingTime Series | —Unverified | 0 | 0 |
