Cover Image

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Qingzhong, Hu, Yue, Long, Zhou, Ma, Qingchang, Ma, Hui, Sa, Jinhai
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
by: Wang, Yuxuan, et al.
Published: (2024)

Expert System for Bitcoin Forecasting: Integrating Global Liquidity via TimeXer Transformers
by: T, Sravan Karthick
Published: (2025)

Modality-aware Transformer for Financial Time series Forecasting
by: Emami, Hajar, et al.
Published: (2023)

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
by: Liu, Yong, et al.
Published: (2023)

Time-Aware Prior Fitted Networks for Zero-Shot Forecasting with Exogenous Variables
by: Potapczynski, Andres, et al.
Published: (2026)

Leveraging Exogenous Signals for Hydrology Time Series Forecasting
by: He, Junyang, et al.
Published: (2025)

DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables
by: Qiu, Xiangfei, et al.
Published: (2025)

Sim-MSTNet: sim2real based Multi-task SpatioTemporal Network Traffic Forecasting
by: Ma, Hui, et al.
Published: (2026)

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
by: Yue, Wenzhen, et al.
Published: (2025)

GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables
by: Li, Zhengyu, et al.
Published: (2026)

Resource-aware Mixed-precision Quantization for Enhancing Deployability of Transformers for Time-series Forecasting on Embedded FPGAs
by: Ling, Tianheng, et al.
Published: (2024)

Fredformer: Frequency Debiased Transformer for Time Series Forecasting
by: Piao, Xihao, et al.
Published: (2024)

MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecasting
by: Ma, Aitian, et al.
Published: (2024)

CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables
by: Zhou, Pengfei, et al.
Published: (2025)

2DXformer: Dual Transformers for Wind Power Forecasting with Dual Exogenous Variables
by: Zhang, Yajuan, et al.
Published: (2025)

ReCast: Reliability-aware Codebook Assisted Lightweight Time Series Forecasting
by: Ma, Xiang, et al.
Published: (2025)

A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
by: Yi, Kun, et al.
Published: (2023)

CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
by: Xue, Wang, et al.
Published: (2023)

FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting
by: Ma, Shusen, et al.
Published: (2024)

Learning Novel Transformer Architecture for Time-series Forecasting
by: Zhang, Juyuan, et al.
Published: (2025)

Select, then Balance: Exploring Exogenous Variable Modeling of Spatio-Temporal Forecasting
by: Chen, Wei, et al.
Published: (2025)

CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
by: Lu, Jiecheng, et al.
Published: (2024)

Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting
by: Li, Siyang, et al.
Published: (2024)

FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecasting
by: Li, Ruiqi, et al.
Published: (2024)

Multi-resolution Time-Series Transformer for Long-term Forecasting
by: Zhang, Yitian, et al.
Published: (2023)

FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting
by: He, Peng, et al.
Published: (2026)

Adapting to the Unknown: Robust Meta-Learning for Zero-Shot Financial Time Series Forecasting
by: Liu, Anxian, et al.
Published: (2025)

ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction
by: Tayal, Kshitij, et al.
Published: (2024)

TFKAN: Time-Frequency KAN for Long-Term Time Series Forecasting
by: Kui, Xiaoyan, et al.
Published: (2025)

ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
by: Zhang, Jiawen, et al.
Published: (2024)

Assessing Electricity Demand Forecasting with Exogenous Data in Time Series Foundation Models
by: Cheong, Wei Soon, et al.
Published: (2026)

Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting
by: Zhou, Ziyu, et al.
Published: (2025)

UrbanAI 2025 Challenge: Linear vs Transformer Models for Long-Horizon Exogenous Temperature Forecasting
by: Gokhman, Ruslan
Published: (2025)

Scaling Law for Time Series Forecasting
by: Shi, Jingzhe, et al.
Published: (2024)

Resilient Load Forecasting under Climate Change: Adaptive Conditional Neural Processes for Few-Shot Extreme Load Forecasting
by: Hu, Chenxi, et al.
Published: (2026)

SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement
by: Qiu, Xiangfei, et al.
Published: (2026)

Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecasting
by: Kakde, Shubham Tanaji, et al.
Published: (2024)

Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
by: Sarkar, Soumyendu, et al.
Published: (2024)

Counterfactual Explanation for Multivariate Time Series Forecasting with Exogenous Variables
by: Kinjo, Keita
Published: (2025)

SEMPO: Lightweight Foundation Models for Time Series Forecasting
by: He, Hui, et al.
Published: (2025)