Image de couverture de livre

Machine Learning-Enabled Large-Scale Capacity Expansion Planning under Uncertainty

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kwon, Taehyeon, Subramanyam, Anirudh
Format:	Preprint
Publié:	2026
Sujets:	Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Nodal Capacity Expansion Planning with Flexible Large-Scale Load Siting
par: Zuluaga, Tomas Valencia, et autres
Publié: (2025)

Electric Vehicle Supply Equipment Location and Capacity Allocation for Fixed-Route Networks
par: Davatgari, Amir, et autres
Publié: (2023)

Extreme-Scale EV Charging Infrastructure Planning for Last-Mile Delivery Using High-Performance Parallel Computing
par: Kaleem, Waquar, et autres
Publié: (2025)

Neural Embedded Mixed-Integer Optimization for Location-Routing Problems
par: Kaleem, Waquar, et autres
Publié: (2024)

Correction to: A Lagrangian dual method for two-stage robust optimization with binary uncertainties
par: Lefebvre, Henri, et autres
Publié: (2024)

An Efficient Hybrid Heuristic for the Transmission Expansion Planning under Uncertainty
par: Rocha, Yure, et autres
Publié: (2026)

Chance-Constrained DC Optimal Power Flow Using Constraint-Informed Statistical Estimation
par: Yi, Tianyang, et autres
Publié: (2025)

Computing Rare Probabilities of Voltage Collapse
par: Jin, Tongtong, et autres
Publié: (2026)

On Solving Chance-Constrained Models with Gaussian Mixture Distribution
par: Dey, Shibshankar, et autres
Publié: (2025)

Distributionally Robust Hospital Capacity Expansion Planning under Stochastic and Correlated Patient Demand
par: Alnaggar, Aliaa, et autres
Publié: (2024)

Capacity Expansion Planning for Puerto Rico's Electric Power System
par: Glista, Elizabeth, et autres
Publié: (2026)

Adaptive Two-stage Stochastic Programming with an Analysis on Capacity Expansion Planning Problem
par: Basciftci, Beste, et autres
Publié: (2019)

Robust Capacity Expansion under Wildfire Ignition Risk and High Renewable Penetration
par: Tapia, Tomás, et autres
Publié: (2026)

Machine Learning for Exact Time Series Aggregation in Generation Expansion Planning with Energy Storage
par: Rybka, Jakub, et autres
Publié: (2026)

Hydrogen Network Expansion Planning considering the Chicken-and-egg Dilemma and Market Uncertainty
par: Kayacık, Sezen Ece, et autres
Publié: (2025)

Cardinality-Constrained Bilevel Capacity Expansion
par: Guo, Lei, et autres
Publié: (2025)

From Zonal to Nodal Capacity Expansion Planning: Spatial Aggregation Impacts on a Realistic Test-Case
par: Glista, Elizabeth, et autres
Publié: (2025)

Two-Stage Stochastic Capacity Expansion in Stable Matching under Truthful or Strategic Preference Uncertainty
par: Bazotte, Maria, et autres
Publié: (2025)

Assignment of Freight Traffic in a Large-Scale Intermodal Network under Uncertainty
par: Uddin, Majbah, et autres
Publié: (2021)

Decision-Scaled Scenario Approach for Rare Chance-Constrained Optimization
par: Choi, Jaeseok, et autres
Publié: (2026)

Regularized Benders Decomposition for High Performance Capacity Expansion Models
par: Pecci, Filippo, et autres
Publié: (2024)

Joint Planning and Operations of Wind Power under Decision-dependent Uncertainty
par: Chen, Zhiqiang, et autres
Publié: (2025)

A Mean Field Game for Capacity Expansion Modeling
par: Hubert, Emma, et autres
Publié: (2025)

Scalable and Interactive Electricity Grid Expansion Planning
par: Degleris, Anthony, et autres
Publié: (2024)

Integrated Investment and Operational Planning for Sugarcane-Based Biofuels and Bioelectricity under Market Uncertainty
par: Monteiro, Carolina, et autres
Publié: (2026)

Reduced Sample Complexity in Scenario-Based Control System Design via Constraint Scaling
par: Choi, Jaeseok, et autres
Publié: (2024)

Low-Order Explicit Hessian Imitation Method for Large-Scale Supervised Machine Learning
par: Zhu, Yunlang, et autres
Publié: (2026)

Bilevel Transmission Expansion Planning with Joint Chance-Constrained Dispatch
par: Xia, Yuxin, et autres
Publié: (2025)

Improving Operational Feasibility in Large-Scale Power System Planning
par: Recht, Gereon, et autres
Publié: (2026)

Logistics Hub Capacity Deployment in Hyperconnected Transportation Network Under Uncertainty
par: Liu, Xiaoyue, et autres
Publié: (2024)

Adaptive Robust Optimization Models for DER Planning in Distribution Networks under Long- and Short-Term Uncertainties
par: García-Muñoz, Fernando, et autres
Publié: (2025)

Smoothing-Enabled Randomized Stochastic Gradient Schemes for Solving Nonconvex Nonsmooth Potential Games under Uncertainty
par: Xiao, Zhuoyu
Publié: (2026)

Gradient Methods for Scalable Multi-value Electricity Network Expansion Planning
par: Degleris, Anthony, et autres
Publié: (2024)

Modular and Mobile Capacity Planning for Hyperconnected Supply Chain Networks
par: Liu, Xiaoyue, et autres
Publié: (2026)

On the Value of Risk-Averse Multistage Stochastic Programming in Capacity Planning
par: Yu, Xian, et autres
Publié: (2024)

A PDE-constrained Optimization Approach to Optimal Trajectory Planning under Uncertainty via Reflected Schrödinger Bridges
par: Kalise, Dante, et autres
Publié: (2025)

Netload Range Cost Curves for a Transmission-Aware Distribution System Planning under DER Growth Uncertainty
par: Cordova, Samuel, et autres
Publié: (2024)

Navigating Demand Uncertainty in Container Shipping: Deep Reinforcement Learning for Enabling Adaptive and Feasible Master Stowage Planning
par: van Twiller, Jaike, et autres
Publié: (2025)

Feedback Enhancement of Time Series Aggregation for Power System Expansion Planning
par: Zhang, Ruiqi, et autres
Publié: (2025)

Multi-Period Stochastic Logistic Hub Capacity Planning for Relay Transportation
par: Liu, Xiaoyue, et autres
Publié: (2024)