Benchmarking Transformer and xLSTM for Time-Series Forecasting of Heat Consumption
Fuente:
arXiv
Guardado en:
| Autores principales: | Wahl, Marja, Bayer, Daniel R., Rausch, Sven, Pruckner, Marco |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
xLSTMTime : Long-term Time Series Forecasting With xLSTM
por: Alharthi, Musleh, et al.
Publicado: (2024)
por: Alharthi, Musleh, et al.
Publicado: (2024)
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
por: Kraus, Maurice, et al.
Publicado: (2024)
por: Kraus, Maurice, et al.
Publicado: (2024)
xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM
por: Kang, Lei, et al.
Publicado: (2025)
por: Kang, Lei, et al.
Publicado: (2025)
Effective Distillation to Hybrid xLSTM Architectures
por: Hauzenberger, Lukas, et al.
Publicado: (2026)
por: Hauzenberger, Lukas, et al.
Publicado: (2026)
Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for Cellular Traffic Forecasting
por: Ali, Khalid, et al.
Publicado: (2025)
por: Ali, Khalid, et al.
Publicado: (2025)
xLSTM Scaling Laws: Competitive Performance with Linear Time-Complexity
por: Beck, Maximilian, et al.
Publicado: (2025)
por: Beck, Maximilian, et al.
Publicado: (2025)
FETS Benchmark: Foundation Models Outperform Dataset-specific Machine Learning in Energy Time Series Forecasting
por: Obermeier, Marco, et al.
Publicado: (2026)
por: Obermeier, Marco, et al.
Publicado: (2026)
Vision-LSTM: xLSTM as Generic Vision Backbone
por: Alkin, Benedikt, et al.
Publicado: (2024)
por: Alkin, Benedikt, et al.
Publicado: (2024)
xLSTM: Extended Long Short-Term Memory
por: Beck, Maximilian, et al.
Publicado: (2024)
por: Beck, Maximilian, et al.
Publicado: (2024)
MolGraph-xLSTM: A graph-based dual-level xLSTM framework with multi-head mixture-of-experts for enhanced molecular representation and interpretability
por: Sun, Yan, et al.
Publicado: (2025)
por: Sun, Yan, et al.
Publicado: (2025)
xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection
por: Faber, Kamil, et al.
Publicado: (2025)
por: Faber, Kamil, et al.
Publicado: (2025)
xLSTM-PINN: Memory-Gated Spectral Remodeling for Physics-Informed Learning
por: Tao, Ze, et al.
Publicado: (2025)
por: Tao, Ze, et al.
Publicado: (2025)
Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study
por: Bayer, Daniel R., et al.
Publicado: (2025)
por: Bayer, Daniel R., et al.
Publicado: (2025)
Seg-LSTM: Performance of xLSTM for Semantic Segmentation of Remotely Sensed Images
por: Zhu, Qinfeng, et al.
Publicado: (2024)
por: Zhu, Qinfeng, et al.
Publicado: (2024)
Distil-xLSTM: Learning Attention Mechanisms through Recurrent Structures
por: Thiombiano, Abdoul Majid O., et al.
Publicado: (2025)
por: Thiombiano, Abdoul Majid O., et al.
Publicado: (2025)
Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels
por: Beck, Maximilian, et al.
Publicado: (2025)
por: Beck, Maximilian, et al.
Publicado: (2025)
xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference
por: Beck, Maximilian, et al.
Publicado: (2025)
por: Beck, Maximilian, et al.
Publicado: (2025)
Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
por: Schmidinger, Niklas, et al.
Publicado: (2024)
por: Schmidinger, Niklas, et al.
Publicado: (2024)
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
por: Schmied, Thomas, et al.
Publicado: (2024)
por: Schmied, Thomas, et al.
Publicado: (2024)
MoxE: Mixture of xLSTM Experts with Entropy-Aware Routing for Efficient Language Modeling
por: Thiombiano, Abdoul Majid O., et al.
Publicado: (2025)
por: Thiombiano, Abdoul Majid O., et al.
Publicado: (2025)
A Deep Reinforcement Learning Approach to Automated Stock Trading, using xLSTM Networks
por: Sarlakifar, Faezeh, et al.
Publicado: (2025)
por: Sarlakifar, Faezeh, et al.
Publicado: (2025)
Unlocking the Power of LSTM for Long Term Time Series Forecasting
por: Kong, Yaxuan, et al.
Publicado: (2024)
por: Kong, Yaxuan, et al.
Publicado: (2024)
xLSTM-SENet: xLSTM for Single-Channel Speech Enhancement
por: Kühne, Nikolai Lund, et al.
Publicado: (2025)
por: Kühne, Nikolai Lund, et al.
Publicado: (2025)
Advancing Gasoline Consumption Forecasting: A Novel Hybrid Model Integrating Transformers, LSTM, and CNN
por: Ranjbar, Mahmoud, et al.
Publicado: (2024)
por: Ranjbar, Mahmoud, et al.
Publicado: (2024)
Graph-Augmented LSTM for Forecasting Sparse Anomalies in Graph-Structured Time Series
por: Pillai, Sneh
Publicado: (2025)
por: Pillai, Sneh
Publicado: (2025)
Frequency-Aware Attention-LSTM for PM$_{2.5}$ Time Series Forecasting
por: Lu, Jiahui, et al.
Publicado: (2025)
por: Lu, Jiahui, et al.
Publicado: (2025)
An Open-Source and Reproducible Implementation of LSTM and GRU Networks for Time Series Forecasting
por: Velarde, Gissel, et al.
Publicado: (2025)
por: Velarde, Gissel, et al.
Publicado: (2025)
Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks
por: Forootani, Ali, et al.
Publicado: (2025)
por: Forootani, Ali, et al.
Publicado: (2025)
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
por: Liu, Yong, et al.
Publicado: (2023)
por: Liu, Yong, et al.
Publicado: (2023)
Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series Forecasting
por: Davies, Gareth
Publicado: (2024)
por: Davies, Gareth
Publicado: (2024)
StoxLSTM: A Stochastic Extended Long Short-Term Memory Network for Time Series Forecasting
por: Wang, Zihao, et al.
Publicado: (2025)
por: Wang, Zihao, et al.
Publicado: (2025)
Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data
por: Saha, Snehanshu, et al.
Publicado: (2023)
por: Saha, Snehanshu, et al.
Publicado: (2023)
Generative Pretrained Hierarchical Transformer for Time Series Forecasting
por: Liu, Zhiding, et al.
Publicado: (2024)
por: Liu, Zhiding, et al.
Publicado: (2024)
Conformal Prediction Algorithms for Time Series Forecasting: Methods and Benchmarking
por: Sabashvili, Andro
Publicado: (2026)
por: Sabashvili, Andro
Publicado: (2026)
It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks
por: Qiao, Zhongzheng, et al.
Publicado: (2026)
por: Qiao, Zhongzheng, et al.
Publicado: (2026)
fev-bench: A Realistic Benchmark for Time Series Forecasting
por: Shchur, Oleksandr, et al.
Publicado: (2025)
por: Shchur, Oleksandr, et al.
Publicado: (2025)
auto-sktime: Automated Time Series Forecasting
por: Zöller, Marc-André, et al.
Publicado: (2023)
por: Zöller, Marc-André, et al.
Publicado: (2023)
Time Series Forecasting Using a Hybrid Deep Learning Method: A Bi-LSTM Embedding Denoising Auto Encoder Transformer
por: Koohfar, Sahar, et al.
Publicado: (2025)
por: Koohfar, Sahar, et al.
Publicado: (2025)
VARMA-Enhanced Transformer for Time Series Forecasting
por: Song, Jiajun, et al.
Publicado: (2025)
por: Song, Jiajun, et al.
Publicado: (2025)
Transformer Based Time-Series Forecasting for Stock
por: Li, Shuozhe, et al.
Publicado: (2025)
por: Li, Shuozhe, et al.
Publicado: (2025)
Ejemplares similares
-
xLSTMTime : Long-term Time Series Forecasting With xLSTM
por: Alharthi, Musleh, et al.
Publicado: (2024) -
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
por: Kraus, Maurice, et al.
Publicado: (2024) -
xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM
por: Kang, Lei, et al.
Publicado: (2025) -
Effective Distillation to Hybrid xLSTM Architectures
por: Hauzenberger, Lukas, et al.
Publicado: (2026) -
Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for Cellular Traffic Forecasting
por: Ali, Khalid, et al.
Publicado: (2025)