Enhanced Renewable Energy Forecasting using Context-Aware Conformal Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Moradi, Alireza, Tanneau, Mathieu, Zandehshahvar, Reza, Van Hentenryck, Pascal |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Copula-Based Aggregation and Context-Aware Conformal Prediction for Reliable Renewable Energy Forecasting
by: Moradi, Alireza, et al.
Published: (2026)
by: Moradi, Alireza, et al.
Published: (2026)
Enhanced Renewable Energy Forecasting and Operations through Probabilistic Forecast Aggregation
by: Moradi, Alireza, et al.
Published: (2025)
by: Moradi, Alireza, et al.
Published: (2025)
Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems
by: Zhang, Hanyu, et al.
Published: (2024)
by: Zhang, Hanyu, et al.
Published: (2024)
Uncertainty-Aware Delivery Delay Duration Prediction via Multi-Task Deep Learning
by: Faulkner, Stefan, et al.
Published: (2026)
by: Faulkner, Stefan, et al.
Published: (2026)
Dual Lagrangian Learning for Conic Optimization
by: Tanneau, Mathieu, et al.
Published: (2024)
by: Tanneau, Mathieu, et al.
Published: (2024)
Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2025)
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2025)
Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel Service Industry
by: Bruys, Thomas, et al.
Published: (2024)
by: Bruys, Thomas, et al.
Published: (2024)
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow
by: Qiu, Guancheng, et al.
Published: (2025)
by: Qiu, Guancheng, et al.
Published: (2025)
Dual Interior Point Optimization Learning
by: Klamkin, Michael, et al.
Published: (2024)
by: Klamkin, Michael, et al.
Published: (2024)
Dual Conic Proxies for AC Optimal Power Flow
by: Qiu, Guancheng, et al.
Published: (2023)
by: Qiu, Guancheng, et al.
Published: (2023)
Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch
by: Klamkin, Michael, et al.
Published: (2025)
by: Klamkin, Michael, et al.
Published: (2025)
PROPEL: Supervised and Reinforcement Learning for Large-Scale Supply Chain Planning
by: Akhlaghi, Vahid Eghbal, et al.
Published: (2025)
by: Akhlaghi, Vahid Eghbal, et al.
Published: (2025)
PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow
by: Klamkin, Michael, et al.
Published: (2025)
by: Klamkin, Michael, et al.
Published: (2025)
Conformal Predictive Distributions for Order Fulfillment Time Forecasting
by: Ye, Tinghan, et al.
Published: (2025)
by: Ye, Tinghan, et al.
Published: (2025)
Copula Conformal Prediction for Multi-step Time Series Forecasting
by: Sun, Sophia, et al.
Published: (2022)
by: Sun, Sophia, et al.
Published: (2022)
Conflict Forecasting via Conformal Prediction for Markov Processes
by: Basarkar, Aditya, et al.
Published: (2026)
by: Basarkar, Aditya, et al.
Published: (2026)
Hierarchical Probabilistic Conformal Prediction for Distributed Energy Resources Adoption
by: Zhou, Wenbin, et al.
Published: (2024)
by: Zhou, Wenbin, et al.
Published: (2024)
Partial Model Sharing Improves Byzantine Resilience in Federated Conformal Prediction
by: Lari, Ehsan, et al.
Published: (2026)
by: Lari, Ehsan, et al.
Published: (2026)
PRISM-FCP: Byzantine-Resilient Federated Conformal Prediction via Partial Sharing
by: Lari, Ehsan, et al.
Published: (2026)
by: Lari, Ehsan, et al.
Published: (2026)
Bucketized Active Sampling for Learning ACOPF
by: Klamkin, Michael, et al.
Published: (2022)
by: Klamkin, Michael, et al.
Published: (2022)
Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands
by: Tassopoulou, Vasiliki, et al.
Published: (2025)
by: Tassopoulou, Vasiliki, et al.
Published: (2025)
Conformal Selective Prediction with General Risk Control
by: Bai, Tian, et al.
Published: (2026)
by: Bai, Tian, et al.
Published: (2026)
BuildSTG: A Multi-building Energy Load Forecasting Method using Spatio-Temporal Graph Neural Network
by: Liu, Yongzheng, et al.
Published: (2025)
by: Liu, Yongzheng, et al.
Published: (2025)
Context-Aware Automated Passenger Counting Data Denoising
by: Cherrier, Noëlie, et al.
Published: (2024)
by: Cherrier, Noëlie, et al.
Published: (2024)
Benchmarking Waitlist Mortality Prediction in Heart Transplantation Through Time-to-Event Modeling using New Longitudinal UNOS Dataset
by: Luo, Yingtao, et al.
Published: (2025)
by: Luo, Yingtao, et al.
Published: (2025)
In-Context Learning Enhanced Credibility Transformer
by: Padayachy, Kishan, et al.
Published: (2025)
by: Padayachy, Kishan, et al.
Published: (2025)
Domain-Shift-Aware Conformal Prediction for Large Language Models
by: Lin, Zhexiao, et al.
Published: (2025)
by: Lin, Zhexiao, et al.
Published: (2025)
Towards Improving Unit Commitment Economics: An Add-On Tailor for Renewable Energy and Reserve Predictions
by: Chen, Xianbang, et al.
Published: (2022)
by: Chen, Xianbang, et al.
Published: (2022)
The Living Forecast: Evolving Day-Ahead Predictions into Intraday Reality
by: Bölat, Kutay, et al.
Published: (2025)
by: Bölat, Kutay, et al.
Published: (2025)
ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model
by: Thapa, Krishu K, et al.
Published: (2025)
by: Thapa, Krishu K, et al.
Published: (2025)
Horizon-Aware Forecasting of Passenger Assistance Demand for Rail Station Workforce Planning
by: Sheehan, Michael, et al.
Published: (2026)
by: Sheehan, Michael, et al.
Published: (2026)
Conformal Prediction for Nonparametric Instrumental Regression
by: Kato, Masahiro
Published: (2026)
by: Kato, Masahiro
Published: (2026)
Extreme Conformal Prediction: Reliable Intervals for High-Impact Events
by: Pasche, Olivier C., et al.
Published: (2025)
by: Pasche, Olivier C., et al.
Published: (2025)
Transfer Learning using 66 Diseases for Disease Forecasting Applications
by: Beesley, Lauren J, et al.
Published: (2026)
by: Beesley, Lauren J, et al.
Published: (2026)
Resource-Based Time and Cost Prediction in Project Networks: From Statistical Modeling to Graph Neural Networks
by: Mirjalili, Reza, et al.
Published: (2025)
by: Mirjalili, Reza, et al.
Published: (2025)
Conformal Prediction for Hierarchical Data
by: Principato, Guillaume, et al.
Published: (2024)
by: Principato, Guillaume, et al.
Published: (2024)
Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction
by: Vishwakarma, Harit, et al.
Published: (2024)
by: Vishwakarma, Harit, et al.
Published: (2024)
DemandLens: Enhancing Forecast Accuracy Through Product-Specific Hyperparameter Optimization
by: Pillai, Srijesh, et al.
Published: (2025)
by: Pillai, Srijesh, et al.
Published: (2025)
On the Viability of Stochastic Economic Dispatch for Real-Time Energy Market Clearing
by: Zhao, Haoruo, et al.
Published: (2023)
by: Zhao, Haoruo, et al.
Published: (2023)
DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting
by: Ahmad, Owais, et al.
Published: (2025)
by: Ahmad, Owais, et al.
Published: (2025)
Similar Items
-
Copula-Based Aggregation and Context-Aware Conformal Prediction for Reliable Renewable Energy Forecasting
by: Moradi, Alireza, et al.
Published: (2026) -
Enhanced Renewable Energy Forecasting and Operations through Probabilistic Forecast Aggregation
by: Moradi, Alireza, et al.
Published: (2025) -
Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems
by: Zhang, Hanyu, et al.
Published: (2024) -
Uncertainty-Aware Delivery Delay Duration Prediction via Multi-Task Deep Learning
by: Faulkner, Stefan, et al.
Published: (2026) -
Dual Lagrangian Learning for Conic Optimization
by: Tanneau, Mathieu, et al.
Published: (2024)