Imagen de Portada

Copula-Based Aggregation and Context-Aware Conformal Prediction for Reliable Renewable Energy Forecasting

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Moradi, Alireza, Tanneau, Mathieu, Zandehshahvar, Reza, Van Hentenryck, Pascal
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Applications
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Enhanced Renewable Energy Forecasting using Context-Aware Conformal Prediction
por: Moradi, Alireza, et al.
Publicado: (2025)

Enhanced Renewable Energy Forecasting and Operations through Probabilistic Forecast Aggregation
por: Moradi, Alireza, et al.
Publicado: (2025)

Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems
por: Zhang, Hanyu, et al.
Publicado: (2024)

Uncertainty-Aware Delivery Delay Duration Prediction via Multi-Task Deep Learning
por: Faulkner, Stefan, et al.
Publicado: (2026)

Copula Conformal Prediction for Multi-step Time Series Forecasting
por: Sun, Sophia, et al.
Publicado: (2022)

Dual Lagrangian Learning for Conic Optimization
por: Tanneau, Mathieu, et al.
Publicado: (2024)

Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting
por: Ghasemloo, Mohammadmahdi, et al.
Publicado: (2025)

Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel Service Industry
por: Bruys, Thomas, et al.
Publicado: (2024)

Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow
por: Qiu, Guancheng, et al.
Publicado: (2025)

Dual Interior Point Optimization Learning
por: Klamkin, Michael, et al.
Publicado: (2024)

Dual Conic Proxies for AC Optimal Power Flow
por: Qiu, Guancheng, et al.
Publicado: (2023)

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch
por: Klamkin, Michael, et al.
Publicado: (2025)

PROPEL: Supervised and Reinforcement Learning for Large-Scale Supply Chain Planning
por: Akhlaghi, Vahid Eghbal, et al.
Publicado: (2025)

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow
por: Klamkin, Michael, et al.
Publicado: (2025)

Conformal Predictive Distributions for Order Fulfillment Time Forecasting
por: Ye, Tinghan, et al.
Publicado: (2025)

Conflict Forecasting via Conformal Prediction for Markov Processes
por: Basarkar, Aditya, et al.
Publicado: (2026)

Extreme Conformal Prediction: Reliable Intervals for High-Impact Events
por: Pasche, Olivier C., et al.
Publicado: (2025)

Hierarchical Probabilistic Conformal Prediction for Distributed Energy Resources Adoption
por: Zhou, Wenbin, et al.
Publicado: (2024)

Facies Classification with Copula Entropy
por: Ma, Jian
Publicado: (2025)

Partial Model Sharing Improves Byzantine Resilience in Federated Conformal Prediction
por: Lari, Ehsan, et al.
Publicado: (2026)

PRISM-FCP: Byzantine-Resilient Federated Conformal Prediction via Partial Sharing
por: Lari, Ehsan, et al.
Publicado: (2026)

Resource-Based Time and Cost Prediction in Project Networks: From Statistical Modeling to Graph Neural Networks
por: Mirjalili, Reza, et al.
Publicado: (2025)

Bucketized Active Sampling for Learning ACOPF
por: Klamkin, Michael, et al.
Publicado: (2022)

Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands
por: Tassopoulou, Vasiliki, et al.
Publicado: (2025)

Achieving Skilled and Reliable Daily Probabilistic Forecasts of Wind Power at Subseasonal-to-Seasonal Timescales over France
por: Lindas, Eloi, et al.
Publicado: (2025)

Conformal Selective Prediction with General Risk Control
por: Bai, Tian, et al.
Publicado: (2026)

Context-Aware Automated Passenger Counting Data Denoising
por: Cherrier, Noëlie, et al.
Publicado: (2024)

Domain-Shift-Aware Conformal Prediction for Large Language Models
por: Lin, Zhexiao, et al.
Publicado: (2025)

Towards Improving Unit Commitment Economics: An Add-On Tailor for Renewable Energy and Reserve Predictions
por: Chen, Xianbang, et al.
Publicado: (2022)

The Living Forecast: Evolving Day-Ahead Predictions into Intraday Reality
por: Bölat, Kutay, et al.
Publicado: (2025)

Horizon-Aware Forecasting of Passenger Assistance Demand for Rail Station Workforce Planning
por: Sheehan, Michael, et al.
Publicado: (2026)

ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model
por: Thapa, Krishu K, et al.
Publicado: (2025)

Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal Quantiles
por: Feldman, Joseph, et al.
Publicado: (2024)

Conformal Prediction for Nonparametric Instrumental Regression
por: Kato, Masahiro
Publicado: (2026)

Conformal Prediction for Hierarchical Data
por: Principato, Guillaume, et al.
Publicado: (2024)

Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction
por: Vishwakarma, Harit, et al.
Publicado: (2024)

On the Viability of Stochastic Economic Dispatch for Real-Time Energy Market Clearing
por: Zhao, Haoruo, et al.
Publicado: (2023)

DeepMIDE: A Multi-Output Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting
por: Ye, Feng, et al.
Publicado: (2024)

DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes
por: Jiang, Manrui, et al.
Publicado: (2026)

Forecastability as an Information-Theoretic Limit on Prediction
por: Catt, Peter Maurice
Publicado: (2026)