Decade-long Emission Forecasting with an Ensemble Model in Taiwan
Fuente:
arXiv
Saved in:
| Main Authors: | Hung, Gordon, Abdullah, Salinna |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Quantitative Technology Forecasting: a Review of Trend Extrapolation Methods
by: Tsai, Peng-Hung, et al.
Published: (2024)
by: Tsai, Peng-Hung, et al.
Published: (2024)
A More Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models
by: Olivares, Kin G., et al.
Published: (2025)
by: Olivares, Kin G., et al.
Published: (2025)
Controlling Ensemble Variance in Diffusion Models: An Application for Reanalyses Downscaling
by: Merizzi, Fabio, et al.
Published: (2025)
by: Merizzi, Fabio, et al.
Published: (2025)
Causal inference approach to appraise long-term effects of maintenance policy on functional performance of asphalt pavements
by: You, Lingyun, et al.
Published: (2024)
by: You, Lingyun, et al.
Published: (2024)
Auto-Regressive Moving Diffusion Models for Time Series Forecasting
by: Gao, Jiaxin, et al.
Published: (2024)
by: Gao, Jiaxin, et al.
Published: (2024)
Assessing the Operational Viability of Foundation Models for Time Series Forecasting
by: Soni, Kavin, et al.
Published: (2026)
by: Soni, Kavin, et al.
Published: (2026)
Predicting the Skies: A Novel Model for Flight-Level Passenger Traffic Forecasting
by: Ehsani, Sina, et al.
Published: (2024)
by: Ehsani, Sina, et al.
Published: (2024)
Applying Time Series Deep Learning Models to Forecast the Growth of Perennial Ryegrass in Ireland
by: Onibonoje, Oluwadurotimi, et al.
Published: (2025)
by: Onibonoje, Oluwadurotimi, et al.
Published: (2025)
Ensemble Learning for Healthcare: A Comparative Analysis of Hybrid Voting and Ensemble Stacking in Obesity Risk Prediction
by: Islam, Towhidul, et al.
Published: (2025)
by: Islam, Towhidul, et al.
Published: (2025)
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction
by: Zhuang, Jinfeng, et al.
Published: (2025)
by: Zhuang, Jinfeng, et al.
Published: (2025)
Forecasting mortality associated emergency department crowding
by: Nevanlinna, Jalmari, et al.
Published: (2024)
by: Nevanlinna, Jalmari, et al.
Published: (2024)
FreDF: Learning to Forecast in the Frequency Domain
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
AI for Anticipatory Action: Moving Beyond Climate Forecasting
by: Huynh, Benjamin Q., et al.
Published: (2023)
by: Huynh, Benjamin Q., et al.
Published: (2023)
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting
by: Zhou, Han, et al.
Published: (2024)
by: Zhou, Han, et al.
Published: (2024)
Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems
by: Zhang, Hanyu, et al.
Published: (2024)
by: Zhang, Hanyu, et al.
Published: (2024)
Binary Gaussian Copula Synthesis: A Novel Data Augmentation Technique to Advance ML-based Clinical Decision Support Systems for Early Prediction of Dialysis Among CKD Patients
by: Khosravi, Hamed, et al.
Published: (2024)
by: Khosravi, Hamed, et al.
Published: (2024)
Multi-spatial Multi-temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data
by: Hu, Yuxiao, et al.
Published: (2023)
by: Hu, Yuxiao, et al.
Published: (2023)
Performance Evaluation of Large Language Models in Statistical Programming
by: Song, Xinyi, et al.
Published: (2025)
by: Song, Xinyi, et al.
Published: (2025)
Subnational Geocoding of Global Disasters Using Large Language Models
by: Ronco, Michele, et al.
Published: (2025)
by: Ronco, Michele, et al.
Published: (2025)
Data-Driven Bayesian Network Models of Hurricane Evacuation Decision Making
by: Wang, Hui Sophie, et al.
Published: (2023)
by: Wang, Hui Sophie, et al.
Published: (2023)
The Evolution of Probabilistic Price Forecasting Techniques: A Review of the Day-Ahead, Intra-Day, and Balancing Markets
by: O'Connor, Ciaran, et al.
Published: (2025)
by: O'Connor, Ciaran, et al.
Published: (2025)
StatLLM: A Dataset for Evaluating the Performance of Large Language Models in Statistical Analysis
by: Song, Xinyi, et al.
Published: (2025)
by: Song, Xinyi, et al.
Published: (2025)
HiBayES: A Hierarchical Bayesian Modeling Framework for AI Evaluation Statistics
by: Luettgau, Lennart, et al.
Published: (2025)
by: Luettgau, Lennart, et al.
Published: (2025)
Unlocking the Potential of Past Research: Using Generative AI to Reconstruct Healthcare Simulation Models
by: Monks, Thomas, et al.
Published: (2025)
by: Monks, Thomas, et al.
Published: (2025)
Evaluating the Use of Large Language Models as Synthetic Social Agents in Social Science Research
by: Madden, Emma Rose
Published: (2025)
by: Madden, Emma Rose
Published: (2025)
TCKAN:A Novel Integrated Network Model for Predicting Mortality Risk in Sepsis Patients
by: Dong, Fanglin
Published: (2024)
by: Dong, Fanglin
Published: (2024)
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership
by: Moreau, Hugues, et al.
Published: (2024)
by: Moreau, Hugues, et al.
Published: (2024)
From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models
by: Zhang, Jiaxin, et al.
Published: (2026)
by: Zhang, Jiaxin, et al.
Published: (2026)
AI for Handball: predicting and explaining the 2024 Olympic Games tournament with Deep Learning and Large Language Models
by: Felice, Florian
Published: (2024)
by: Felice, Florian
Published: (2024)
Classification Modeling with RNN-Based, Random Forest, and XGBoost for Imbalanced Data: A Case of Early Crash Detection in ASEAN-5 Stock Markets
by: Siswara, Deri, et al.
Published: (2024)
by: Siswara, Deri, et al.
Published: (2024)
Air Pollution Forecasting in Bucharest
by: Şerban, Dragoş-Andrei, et al.
Published: (2025)
by: Şerban, Dragoş-Andrei, et al.
Published: (2025)
Cross-Domain Offshore Wind Power Forecasting: Transfer Learning Through Meteorological Clusters
by: Weisser, Dominic, et al.
Published: (2026)
by: Weisser, Dominic, et al.
Published: (2026)
Continuously Optimizing Radar Placement with Model Predictive Path Integrals
by: Potter, Michael, et al.
Published: (2024)
by: Potter, Michael, et al.
Published: (2024)
Robustifying and Selecting Cohort-Appropriate Prognostic Models under Distributional Shifts
by: Bertsimas, Dimitris, et al.
Published: (2026)
by: Bertsimas, Dimitris, et al.
Published: (2026)
Enhancing Project Performance Forecasting using Machine Learning Techniques
by: Sadeghi, Soheila
Published: (2024)
by: Sadeghi, Soheila
Published: (2024)
Hybrid Probabilistic Forecasting of Under-Five Malaria Admissions in Ghana: A Gaussian Process Regression with Holt-Winters Smoothing
by: Ansah-Narh, T., et al.
Published: (2026)
by: Ansah-Narh, T., et al.
Published: (2026)
Forecasting time series with constraints
by: Doumèche, Nathan, et al.
Published: (2025)
by: Doumèche, Nathan, et al.
Published: (2025)
Enhancing Global Maritime Traffic Network Forecasting with Gravity-Inspired Deep Learning Models
by: Song, Ruixin, et al.
Published: (2024)
by: Song, Ruixin, et al.
Published: (2024)
On the Mechanistic Interpretability of Neural Networks for Causality in Bio-statistics
by: Conan, Jean-Baptiste A.
Published: (2025)
by: Conan, Jean-Baptiste A.
Published: (2025)
Calculating Customer Lifetime Value and Churn using Beta Geometric Negative Binomial and Gamma-Gamma Distribution in a NFT based setting
by: Das, Sagarnil
Published: (2025)
by: Das, Sagarnil
Published: (2025)
Similar Items
-
Quantitative Technology Forecasting: a Review of Trend Extrapolation Methods
by: Tsai, Peng-Hung, et al.
Published: (2024) -
A More Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models
by: Olivares, Kin G., et al.
Published: (2025) -
Controlling Ensemble Variance in Diffusion Models: An Application for Reanalyses Downscaling
by: Merizzi, Fabio, et al.
Published: (2025) -
Causal inference approach to appraise long-term effects of maintenance policy on functional performance of asphalt pavements
by: You, Lingyun, et al.
Published: (2024) -
Auto-Regressive Moving Diffusion Models for Time Series Forecasting
by: Gao, Jiaxin, et al.
Published: (2024)