Cover Image

Forecasting peak electric load: Robust support vector regression with smooth nonconvex ϵ‐insensitive loss

Fuente: Wiley Open Access

Saved in:

Bibliographic Details
Main Authors:	Rujia Nie, Jinxing Che, Fang Yuan, Weihua Zhao
Format:	Artículo Open Access
Published:	Wiley 2024
Subjects:	Journal of Forecasting
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust Estimation of Multivariate Time Series Data Based on Reduced Rank Model
by: Tengteng Xu, et al.
Published: (2024)

Support Vector Machine to Forecast Reexamination Invalidation Decisions for Utility Model Patent
by: Mei‐Hsin Wang, et al.
Published: (2025)

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

Could Diffusion Indexes Have Forecasted the Great Depression?
by: Gabriel Mathy, et al.
Published: (2024)

Forecasting the High‐Frequency Covariance Matrix Using the LSTM‐MF Model
by: Guangying Liu, et al.
Published: (2025)

A Universal Multivariate Long‐Term Time‐Series Robust Forecasting Model With Distinguishable Variable Identifier
by: Xin‐ji Chen, et al.
Published: (2026)

Fiscal Forecasting Rationality Among Expert Forecasters
by: Belen Chocobar, et al.
Published: (2024)

Enhancing Neural Network Volatility Forecasting: Decomposed Volatility Modeling
by: Xuzheng Ren, et al.
Published: (2026)

A Novel Approach to Forecasting After Large Forecast Errors
by: Jennifer L. Castle, et al.
Published: (2025)

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

A Novel Interpretable Deep Learning‐Based Wind Speed and Power Generation Forecasting Using Multiscale Attention and Post Hoc Feature Importance Mechanism
by: Haoyu Fang, et al.
Published: (2025)

A New Multivariate Decomposition–Ensemble Approach With Multisource Heterogeneous Data for Crude Oil Price Forecasting
by: Zhengling Zhao, et al.
Published: (2026)

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

Forecasting in turbulent times
by: Nikolaos Giannellis, et al.
Published: (2024)

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

Macroeconomic and Financial Forecasting in the Aftermath of the Covid Shock: Inflation Forecasting With Large Language Models
by: Nikolaos Giannellis, et al.
Published: (2026)

Crossproduct Effect and Volatility Forecasting
by: Jiafu Xu, et al.
Published: (2024)

Coherent Forecasting of Realized Volatility
by: Marius Puke, et al.
Published: (2026)

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

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

Nonstationary Functional Time Series Forecasting
by: Han Lin Shang, et al.
Published: (2024)

Forecasting and Pricing in the Carbon Credits Market
by: Yiyang Chen, et al.
Published: (2026)

Mortality Forecasting Using Variational Inference
by: Patrik Andersson, et al.
Published: (2025)

Forecasting and Modeling Macroeconomic Vulnerabilities in CESEE
by: Florian Huber, et al.
Published: (2025)

Visualizing Uncertainty in Time Series Forecasts: The Impact of Uncertainty Visualization on Users' Confidence, Algorithmic Advice Utilization, and Forecasting Performance
by: Dirk Leffrang, et al.
Published: (2024)

Forecasting carbon emissions using asymmetric grouping
by: Didier Nibbering, et al.
Published: (2024)

Trade and Economic Activity: Nonlinear Modeling and Forecasting
by: Alessandro Borin, et al.
Published: (2024)

Forecasting House Prices: The Role of Market Interconnectedness
by: Zac Chen, et al.
Published: (2026)

Threshold MIDAS Forecasting of Canadian Inflation Rate
by: Chaoyi Chen, et al.
Published: (2025)

Forecasting With Machine Learning Shadow‐Rate VARs
by: Michael Grammatikopoulos
Published: (2025)

Optimal Variance Forecasting in a Trading Context
by: Nick Taylor
Published: (2025)

Regime‐Switching Density Forecasts Using Economists' Scenarios
by: Graziano Moramarco
Published: (2024)

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

Forecasting healthcare service volumes with machine learning algorithms
by: Dong‐Hui Yang, et al.
Published: (2024)

Forecasting Equity Premium in the Face of Climate Policy Uncertainty
by: Hyder Ali, et al.
Published: (2024)

Forecasting Beta Using Ultra High Frequency Data
by: Jian Zhou
Published: (2024)

Scaling‐Aware Rating of Poisson‐Limited Demand Forecasts
by: Malte C. Tichy, et al.
Published: (2025)

AI‐Driven Inflation Forecasting in the Aftermath of COVID‐19
by: Krystian Jaworski
Published: (2026)

Modeling and Forecasting the CBOE VIX With the TVP‐HAR Model
by: Wen Xu, et al.
Published: (2025)

Trading VIX on Volatility Forecasts: Another Volatility Puzzle?
by: Stavros Degiannakis, et al.
Published: (2025)