Cover Image

Impact of Employing Weather Forecast Data as Input to the Estimation of Evapotranspiration by Deep Neural Network Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vaz, Pedro J., Schütz, Gabriela, Guerrero, Carlos, Cardoso, Pedro J. S.
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Studying and Improving Graph Neural Network-based Motif Estimation
by: Vieira, Pedro C., et al.
Published: (2025)

Ensemble Graph Neural Networks for Probabilistic Sea Surface Temperature Forecasting via Input Perturbations
by: González-Santana, Alejandro J., et al.
Published: (2026)

Uncertainty Estimation by Human Perception versus Neural Models
by: Mendes, Pedro, et al.
Published: (2025)

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models
by: Kudo, Atsushi
Published: (2024)

Bridging the Gap Between Bayesian Deep Learning and Ensemble Weather Forecasts
by: Xiong, Xinlei, et al.
Published: (2025)

Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting
by: Kossaifi, Jean, et al.
Published: (2026)

Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting
by: Liu, Peiyuan, et al.
Published: (2024)

Automated Spatio-Temporal Weather Modeling for Load Forecasting
by: Keisler, Julie, et al.
Published: (2024)

Long Input Sequence Network for Long Time Series Forecasting
by: Ma, Chao, et al.
Published: (2024)

Agricultural Recommendation System based on Deep Learning: A Multivariate Weather Forecasting Approach
by: Zubair, Md, et al.
Published: (2024)

Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data
by: Symeonidis, Charalampos, et al.
Published: (2024)

Data Complexity-aware Deep Model Performance Forecasting
by: Chen, Yen-Chia, et al.
Published: (2026)

The Effects of Data Imbalance Under a Federated Learning Approach for Credit Risk Forecasting
by: Zhang, Shuyao, et al.
Published: (2024)

UniExtreme: A Universal Foundation Model for Extreme Weather Forecasting
by: Ni, Hang, et al.
Published: (2025)

Hybrid SARIMA LSTM Model for Local Weather Forecasting: A Residual Learning Approach for Data Driven Meteorological Prediction
by: Rajeev, Shreyas, et al.
Published: (2026)

Long-Term Prediction Accuracy Improvement of Data-Driven Medium-Range Global Weather Forecast
by: Hu, Yifan, et al.
Published: (2024)

Target Concept Tuning Improves Extreme Weather Forecasting
by: Ren, Shijie, et al.
Published: (2026)

Evaluating the Sensitivity of BiLSTM Forecasting Models to Sequence Length and Input Noise
by: Albelali, Salma, et al.
Published: (2025)

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment
by: Mendes, Pedro, et al.
Published: (2025)

Large Language Models for Missing Data Imputation: Understanding Behavior, Hallucination Effects, and Control Mechanisms
by: Mangussi, Arthur Dantas, et al.
Published: (2026)

ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models
by: Li, Shixuan, et al.
Published: (2025)

Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting
by: Ma, Ziqing, et al.
Published: (2026)

Principled Approximation Methods for Efficient and Scalable Deep Learning
by: Savarese, Pedro
Published: (2025)

Efficient Subseasonal Weather Forecast using Teleconnection-informed Transformers
by: Zhao, Shan, et al.
Published: (2024)

ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting
by: Tian, Jindong, et al.
Published: (2025)

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting
by: Luo, Yingtao, et al.
Published: (2025)

On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight
by: Mustapha, Ismail B., et al.
Published: (2026)

Principled Input-Output-Conditioned Post-Hoc Uncertainty Estimation for Regression Networks
by: Bramlage, Lennart, et al.
Published: (2025)

A Novel Deep Neural Network Architecture for Real-Time Water Demand Forecasting
by: Salloom, Tony, et al.
Published: (2025)

Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
by: Xu, Wanghan, et al.
Published: (2024)

The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks
by: Mayor, Walter, et al.
Published: (2025)

ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting
by: Xiang, Yanfei, et al.
Published: (2024)

BRAID: Input-Driven Nonlinear Dynamical Modeling of Neural-Behavioral Data
by: Vahidi, Parsa, et al.
Published: (2025)

Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting
by: Sriramulu, Abishek, et al.
Published: (2024)

Enhancing Weather Predictions: Super-Resolution via Deep Diffusion Models
by: Martinů, Jan, et al.
Published: (2024)

Graph Neural Network contextual embedding for Deep Learning on Tabular Data
by: Villaizán-Vallelado, Mario, et al.
Published: (2023)

DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Series
by: Sriramulu, Abishek, et al.
Published: (2024)

IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India
by: Nguyen, Tung, et al.
Published: (2025)

Deep Coupling Network For Multivariate Time Series Forecasting
by: Yi, Kun, et al.
Published: (2024)

ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast
by: Xu, Wanghan, et al.
Published: (2024)