Buchumschlag

European Union Allowance price forecasting with Multidimensional Uncertainties: A TCN‐iTransformer Approach for Interval Estimation

Fuente: Wiley Open Access

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Ran Wu, Mohammad Zoynul Abedin, Hongjun Zeng, Brian Lucey
Format:	Artículo Open Access
Veröffentlicht:	Wiley 2025
Schlagworte:	Journal of Forecasting
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Forecasting Volatility of Australian Stock Market Applying WTC‐DCA‐Informer Framework
von: Hongjun Zeng, et al.
Veröffentlicht: (2025)

HyperVIX: A GWO‐Optimized ARIMA‐LSTM Hybrid Model for CBOE Volatility Index (VIX) Forecasting
von: Ran Wu, et al.
Veröffentlicht: (2025)

A new probability forecasting model for cotton yarn futures price volatility with explainable AI and big data
von: Huosong Xia, et al.
Veröffentlicht: (2024)

Incorporating media news to predict financial distress: Case study on Chinese listed companies
von: Lifang Zhang, et al.
Veröffentlicht: (2024)

Interpretable corn future price forecasting with multivariate time series
von: Binrong Wu, et al.
Veröffentlicht: (2024)

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
von: Saptarshi Ganguly, et al.
Veröffentlicht: (2026)

Probabilistic electricity price forecasting based on penalized temporal fusion transformer
von: He Jiang, et al.
Veröffentlicht: (2024)

Data‐Driven Prediction of Climate Variables in Agricultural Cities of India With Hybrid GA‐TCN‐LSTM Model
von: Anil Utku
Veröffentlicht: (2025)

Robust Prediction Intervals for Time Series Forecasting: A Bootstrap and Bayesian Approach
von: Betty X.Y. Chu, et al.
Veröffentlicht: (2026)

Functional volatility forecasting
von: Yingwen Tan, et al.
Veröffentlicht: (2024)

Measuring the advantages of contemporaneous aggregation in forecasting
von: Zeda Li, et al.
Veröffentlicht: (2024)

Shapley‐value‐based forecast combination
von: Philip Hans Franses, et al.
Veröffentlicht: (2024)

A study and development of high‐order fuzzy time series forecasting methods for air quality index forecasting
von: Sushree Subhaprada Pradhan, et al.
Veröffentlicht: (2024)

Forecasting food price inflation during global crises
von: Patricia Toledo, et al.
Veröffentlicht: (2024)

Density forecast combinations: The real‐time dimension
von: Peter McAdam, et al.
Veröffentlicht: (2024)

Survey respondents' inflation forecasts and the COVID period
von: Michael P. Clements
Veröffentlicht: (2024)

Forecasting the realized volatility of agricultural commodity prices: Does sentiment matter?
von: Matteo Bonato, et al.
Veröffentlicht: (2024)

Credit card loss forecasting: Some lessons from COVID
von: Partha Sengupta, et al.
Veröffentlicht: (2024)

New runs‐based approach to testing value at risk forecasts
von: Marta Małecka
Veröffentlicht: (2024)

Combine to compete: Improving fiscal forecast accuracy over time
von: Laura Carabotta, et al.
Veröffentlicht: (2024)

A systematic vector autoregressive framework for modeling and forecasting mortality
von: Jackie Li, et al.
Veröffentlicht: (2024)

Forecasting European Union Electronic Trading Systems Phase 4 Spot Prices Using Data‐Driven Hybrid Deep Learning Models: Integrating Energy and Market Activity as Controls
von: Noman Arshed, et al.
Veröffentlicht: (2026)

Forecasting realized volatility of crude oil futures prices based on machine learning
von: Jiawen Luo, et al.
Veröffentlicht: (2024)

Macroeconomic real‐time forecasts of univariate models with flexible error structures
von: Kelly Trinh, et al.
Veröffentlicht: (2024)

Tail risk forecasting with semiparametric regression models by incorporating overnight information
von: Cathy W. S. Chen, et al.
Veröffentlicht: (2024)

Revisiting the Volatility Dynamics of REITs Amid Uncertainty and Investor Sentiment: A Predictive Approach in GARCH‐MIDAS
von: Xu Xiangxin, et al.
Veröffentlicht: (2025)

Forecasting house price index with social media sentiment: A decomposition–ensemble approach
von: Jin Shao, et al.
Veröffentlicht: (2024)

Using deep (machine) learning to forecast US inflation in the COVID‐19 era
von: David Stoneman, et al.
Veröffentlicht: (2024)

Disciplining growth‐at‐risk models with survey of professional forecasters and Bayesian quantile regression
von: Milan Szabo
Veröffentlicht: (2024)

Volatility forecasting incorporating intraday positive and negative jumps based on deep learning model
von: Yilun Zhang, et al.
Veröffentlicht: (2024)

New forecasting methods for an old problem: Predicting 147 years of systemic financial crises
von: Emile du Plessis, et al.
Veröffentlicht: (2024)

Weighted compositional functional data analysis for modeling and forecasting life‐table death counts
von: Han Lin Shang, et al.
Veröffentlicht: (2024)

Time‐varying risk preference and equity risk premium forecasting: The role of the disposition effect
von: Kenan Qiao, et al.
Veröffentlicht: (2024)

A Dynamic Fuzzy Modeling Method for Interval Time Series and Applications in Range‐Based Volatility Prediction
von: Leandro Maciel, et al.
Veröffentlicht: (2025)

A novel hybrid forecasting model with feature selection and deep learning for wind speed research
von: Xuejun Chen, et al.
Veröffentlicht: (2024)

Embedding the weather prediction errors (WPE) into the photovoltaic (PV) forecasting method using deep learning
von: Adela Bâra, et al.
Veröffentlicht: (2024)

A multistage forecasting model for green bond cost optimization with dynamic corporate risk constraints
von: Zinan Hu, et al.
Veröffentlicht: (2024)

Ternary Interval Forecasting of Air Pollutant Concentration: A Novel Multivariate Decomposition and Optimal Variable Weight Ensemble Paradigm
von: Zicheng Wang, et al.
Veröffentlicht: (2025)

Medium‐ to Long‐Term Demand Forecasting in Retail and Manufacturing Organizations: Integration of Machine Learning, Human Judgment, and Interval Variable
von: Sushil Punia
Veröffentlicht: (2025)

Toward a smart forecasting model in supply chain management: A case study of coffee in Vietnam
von: Thi Thuy Hanh Nguyen, et al.
Veröffentlicht: (2024)