| Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series Forecasting | Oct 25, 2024 | Deep Reinforcement LearningTime Series | CodeCode Available | 1 | 5 |
| BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling | Mar 8, 2025 | Meta-LearningTime Series | CodeCode Available | 1 | 5 |
| An Experimental Review on Deep Learning Architectures for Time Series Forecasting | Mar 22, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series | Oct 19, 2023 | DiversityFeature Engineering | CodeCode Available | 1 | 5 |
| Feature-Based Time-Series Analysis in R using the theft Package | Aug 12, 2022 | Data VisualizationTime Series | CodeCode Available | 1 | 5 |
| Feature Programming for Multivariate Time Series Prediction | Jun 9, 2023 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 1 | 5 |
| An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks | Nov 29, 2022 | PredictionTime Series | CodeCode Available | 1 | 5 |
| Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting | May 24, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space | Nov 26, 2020 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks | Jul 31, 2020 | Data AugmentationGeneral Classification | CodeCode Available | 1 | 5 |
