Cover Image

ECTO: Exogenous-Conditioned Temporal Operator for Ultra-Short-Term Wind Power Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yuan, Cao, Wang, Junjun
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

TCNFormer: Temporal Convolutional Network Former for Short-Term Wind Speed Forecasting
by: Zim, Abid Hasan, et al.
Published: (2024)

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

Adaptive Bayesian Very Short-Term Wind Power Forecasting Based on the Generalised Logit Transformation
by: Shen, Tao, et al.
Published: (2025)

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

STDHL: Spatio-Temporal Dynamic Hypergraph Learning for Wind Power Forecasting
by: Dong, Xiaochong, et al.
Published: (2024)

Legendre Memory Unit with A Multi-Slice Compensation Model for Short-Term Wind Speed Forecasting Based on Wind Farm Cluster Data
by: Zhang, Mumin, et al.
Published: (2026)

STAA: Spatio-Temporal Alignment Attention for Short-Term Precipitation Forecasting
by: Chen, Min, et al.
Published: (2024)

Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition
by: Jiang, Yuqi, et al.
Published: (2024)

Short-Term Power Demand Forecasting for Diverse Consumer Types to Enhance Grid Planning and Synchronisation
by: Diaz-Iglesias, Asier, et al.
Published: (2025)

Short-term Wind Speed Forecasting for Power Integration in Smart Grids based on Hybrid LSSVM-SVMD Method
by: Yekun, Ephrem Admasu, et al.
Published: (2024)

Fast-Powerformer: A Memory-Efficient Transformer for Accurate Mid-Term Wind Power Forecasting
by: Zhu, Mingyi, et al.
Published: (2025)

XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs
by: Chen, Xinyang, et al.
Published: (2026)

Towards Operational Streamflow Forecasting in the Limpopo River Basin using Long Short-Term Memory Networks
by: Tlhomole, James, et al.
Published: (2026)

DeepMIDE: A Multi-Output Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting
by: Ye, Feng, et al.
Published: (2024)

WindFM: An Open-Source Foundation Model for Zero-Shot Wind Power Forecasting
by: Fan, Hang, et al.
Published: (2025)

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

Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand
by: Smyl, Slawek, et al.
Published: (2024)

Quantifying the Influences on Probabilistic Wind Power Forecasts
by: Schreiber, Jens, et al.
Published: (2018)

Graph Neural Networks in Wind Power Forecasting
by: Castellano, Javier, et al.
Published: (2025)

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

Hiformer: Hybrid Frequency Feature Enhancement Inverted Transformer for Long-Term Wind Power Prediction
by: Wan, Chongyang, et al.
Published: (2024)

Differential-Integral Neural Operator for Long-Term Turbulence Forecasting
by: Wu, Hao, et al.
Published: (2025)

Short-Term Solar Irradiance Forecasting Under Data Transmission Constraints
by: Hammond, Joshua Edward, et al.
Published: (2024)

Hourly Short Term Load Forecasting for Residential Buildings and Energy Communities
by: Kychkin, Aleksei, et al.
Published: (2025)

Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos
by: Özalp, Elise, et al.
Published: (2023)

Unlocking the Power of LSTM for Long Term Time Series Forecasting
by: Kong, Yaxuan, et al.
Published: (2024)

Convolutional Long Short-Term Memory (convLSTM) for Spatio-Temporal Forecastings of Saturations and Pressure in the SACROC Field
by: Panja, Palash, et al.
Published: (2022)

Quantum Long Short-Term Memory (QLSTM) vs Classical LSTM in Time Series Forecasting: A Comparative Study in Solar Power Forecasting
by: Khan, Saad Zafar, et al.
Published: (2023)

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

Operational Wind Speed Forecasts for Chile's Electric Power Sector Using a Hybrid ML Model
by: Suri, Dhruv, et al.
Published: (2024)

UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)

SolarTformer: A Transformer Based Deep Learning Approach for Short Term Solar Power Forecasting
by: Basu, Ankan, et al.
Published: (2026)

Probabilistic Wind Power Forecasting with Tree-Based Machine Learning and Weather Ensembles
by: Bruninx, Max, et al.
Published: (2026)

Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey
by: Dong, Qi, et al.
Published: (2024)

ParallelTime: Dynamically Weighting the Balance of Short- and Long-Term Temporal Dependencies
by: Katav, Itay, et al.
Published: (2025)

StoxLSTM: A Stochastic Extended Long Short-Term Memory Network for Time Series Forecasting
by: Wang, Zihao, et al.
Published: (2025)

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction
by: Kamal, Mustafa, et al.
Published: (2025)

Forecasting Ferry Passenger Flow Using Long-Short Term Memory Neural Networks
by: Fesalbon, Daniel
Published: (2024)

A Lightweight Multi-View Approach to Short-Term Load Forecasting
by: Guité-Vinet, Julien, et al.
Published: (2026)

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