A novel forecasting framework combining virtual samples and enhanced Transformer models for tourism demand forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Diao, Tingting, Wu, Xinzhang, Yang, Lina, Xiao, Ling, Dong, Yunxuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
High-dimensional point forecast combinations for emergency department demand
by: Guo, Peihong, et al.
Published: (2025)
by: Guo, Peihong, et al.
Published: (2025)
On the retraining frequency of global models in retail demand forecasting
by: Zanotti, Marco
Published: (2025)
by: Zanotti, Marco
Published: (2025)
Automobile demand forecasting: Spatiotemporal and hierarchical modeling, life cycle dynamics, and user-generated online information
by: Nahrendorf, Tom, et al.
Published: (2025)
by: Nahrendorf, Tom, et al.
Published: (2025)
Online detection of forecast model inadequacies using forecast errors
by: Grundy, Thomas, et al.
Published: (2025)
by: Grundy, Thomas, et al.
Published: (2025)
Enforcing tail calibration when training probabilistic forecast models
by: Wessel, Jakob Benjamin, et al.
Published: (2025)
by: Wessel, Jakob Benjamin, et al.
Published: (2025)
Longitudinal prediction of DNA methylation to forecast epigenetic outcomes
by: Leroy, Arthur, et al.
Published: (2023)
by: Leroy, Arthur, et al.
Published: (2023)
mshw, a forecasting library to predict short-term electricity demand based on multiple seasonal Holt-Winters
by: Trull, Oscar, et al.
Published: (2024)
by: Trull, Oscar, et al.
Published: (2024)
Statistical post-processing of visibility ensemble forecasts
by: Baran, Sándor, et al.
Published: (2023)
by: Baran, Sándor, et al.
Published: (2023)
Optimal starting point for time series forecasting
by: Zhong, Yiming, et al.
Published: (2024)
by: Zhong, Yiming, et al.
Published: (2024)
Optimising antibiotic switching via forecasting of patient physiology
by: Ross, Magnus, et al.
Published: (2026)
by: Ross, Magnus, et al.
Published: (2026)
Neural ARFIMA model for forecasting BRIC exchange rates with long memory
by: Chakraborty, Tanujit, et al.
Published: (2025)
by: Chakraborty, Tanujit, et al.
Published: (2025)
Cross-variable Linear Integrated ENhanced Transformer for Photovoltaic power forecasting
by: Gao, Jiaxin, et al.
Published: (2024)
by: Gao, Jiaxin, et al.
Published: (2024)
Machine learning-based probabilistic forecasting of solar irradiance in Chile
by: Baran, Sándor, et al.
Published: (2024)
by: Baran, Sándor, et al.
Published: (2024)
Ozone level forecasting in Mexico City with temporal features and interactions
by: Cerritos, J. M. Sánchez, et al.
Published: (2024)
by: Cerritos, J. M. Sánchez, et al.
Published: (2024)
nabqr: Python package for improving probabilistic forecasts
by: Jørgensena, Bastian Schmidt, et al.
Published: (2025)
by: Jørgensena, Bastian Schmidt, et al.
Published: (2025)
Probabilistic intraday electricity price forecasting using generative machine learning
by: Chen, Jieyu, et al.
Published: (2025)
by: Chen, Jieyu, et al.
Published: (2025)
Enhancing multivariate post-processed visibility predictions utilizing CAMS forecasts
by: Lakatos, Mária, et al.
Published: (2024)
by: Lakatos, Mária, et al.
Published: (2024)
Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches
by: Lam, Ka Kin, et al.
Published: (2021)
by: Lam, Ka Kin, et al.
Published: (2021)
Multipopulation mortality modelling and forecasting: The multivariate functional principal component with time weightings approaches
by: Lam, Ka Kin, et al.
Published: (2021)
by: Lam, Ka Kin, et al.
Published: (2021)
Improving probabilistic forecasts of extreme wind speeds by training statistical post-processing models with weighted scoring rules
by: Wessel, Jakob Benjamin, et al.
Published: (2024)
by: Wessel, Jakob Benjamin, et al.
Published: (2024)
An adaptive standardisation methodology for Day-Ahead electricity price forecasting
by: Sebastián, Carlos, et al.
Published: (2023)
by: Sebastián, Carlos, et al.
Published: (2023)
A two-step machine learning approach to statistical post-processing of weather forecasts for power generation
by: Baran, Ágnes, et al.
Published: (2022)
by: Baran, Ágnes, et al.
Published: (2022)
An intuitive rearranging of the Yates covariance decomposition for probabilistic verification of forecasts with the Brier score
by: Vieira, Bruno Hebling
Published: (2026)
by: Vieira, Bruno Hebling
Published: (2026)
Isotonic Quantile Regression Averaging for uncertainty quantification of electricity price forecasts
by: Lipiecki, Arkadiusz, et al.
Published: (2025)
by: Lipiecki, Arkadiusz, et al.
Published: (2025)
Spatio-temporal modelling of electric vehicle charging demand
by: Bouaachra, Kaoutar, et al.
Published: (2026)
by: Bouaachra, Kaoutar, et al.
Published: (2026)
Scaling-aware rating of Poisson-limited demand forecasts
by: Tichy, Malte C., et al.
Published: (2022)
by: Tichy, Malte C., et al.
Published: (2022)
Random cohort effects and age groups dependency structure for mortality modelling and forecasting: Mixed-effects time-series model approach
by: Lam, Ka Kin, et al.
Published: (2021)
by: Lam, Ka Kin, et al.
Published: (2021)
Efficient mid-term forecasting of hourly electricity load using generalized additive models
by: Zimmermann, Monika, et al.
Published: (2024)
by: Zimmermann, Monika, et al.
Published: (2024)
Electricity price forecasting across Norway's five bidding zones in the post-crisis era
by: Phan, My Thi Diem, et al.
Published: (2026)
by: Phan, My Thi Diem, et al.
Published: (2026)
Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression
by: Lipiecki, Arkadiusz, et al.
Published: (2024)
by: Lipiecki, Arkadiusz, et al.
Published: (2024)
A weighted-likelihood framework for class imbalance in Bayesian prediction models
by: Lazic, Stanley E.
Published: (2025)
by: Lazic, Stanley E.
Published: (2025)
A novel nonconvex, smooth-at-origin penalty for statistical learning
by: John, Majnu, et al.
Published: (2022)
by: John, Majnu, et al.
Published: (2022)
Digital Twin for Grey Box modeling of Multistory residential building thermal dynamics
by: Morkunaite, Lina, et al.
Published: (2024)
by: Morkunaite, Lina, et al.
Published: (2024)
Masked Transformer for Electrocardiogram Classification
by: Zhou, Ya, et al.
Published: (2023)
by: Zhou, Ya, et al.
Published: (2023)
Assessing the informative value of macroeconomic indicators for public health forecasting
by: Chakraborty, Shome, et al.
Published: (2026)
by: Chakraborty, Shome, et al.
Published: (2026)
Evaluation of adaptive sampling methods in scenario generation for virtual safety impact assessment of pre-crash safety systems
by: Yang, Xiaomi, et al.
Published: (2025)
by: Yang, Xiaomi, et al.
Published: (2025)
Human spatial dynamics for electricity demand forecasting: the case of France during the 2022 energy crisis
by: Doumèche, Nathan, et al.
Published: (2023)
by: Doumèche, Nathan, et al.
Published: (2023)
Another look at forecast trimming for combinations: robustness, accuracy and diversity
by: Wang, Xiaoqian, et al.
Published: (2022)
by: Wang, Xiaoqian, et al.
Published: (2022)
Coherent forecast combination for linearly constrained multiple time series
by: Girolimetto, Daniele, et al.
Published: (2024)
by: Girolimetto, Daniele, et al.
Published: (2024)
A variational inference framework for inverse problems
by: Maestrini, Luca, et al.
Published: (2021)
by: Maestrini, Luca, et al.
Published: (2021)
Similar Items
-
High-dimensional point forecast combinations for emergency department demand
by: Guo, Peihong, et al.
Published: (2025) -
On the retraining frequency of global models in retail demand forecasting
by: Zanotti, Marco
Published: (2025) -
Automobile demand forecasting: Spatiotemporal and hierarchical modeling, life cycle dynamics, and user-generated online information
by: Nahrendorf, Tom, et al.
Published: (2025) -
Online detection of forecast model inadequacies using forecast errors
by: Grundy, Thomas, et al.
Published: (2025) -
Enforcing tail calibration when training probabilistic forecast models
by: Wessel, Jakob Benjamin, et al.
Published: (2025)