Imagen de Portada

What Are We Clustering For? Establishing Performance Guarantees for Time Series Aggregation in Generation Expansion Planning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Santosuosso, Luca, Klinz, Bettina, Wogrin, Sonja
Formato:	Preprint
Publicado:	2025
Materias:	Optimization and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Optimal Virtual Power Plant Investment Planning via Time Series Aggregation with Bounded Error
por: Santosuosso, Luca, et al.
Publicado: (2025)

Machine Learning for Exact Time Series Aggregation in Generation Expansion Planning with Energy Storage
por: Rybka, Jakub, et al.
Publicado: (2026)

Stochastic Virtual Power Plant Dispatch via Temporally Aggregated Distributed Predictive Control with Performance Guarantees
por: Santosuosso, Luca, et al.
Publicado: (2026)

Distributed Stochastic Model Predictive Control with Temporal Aggregation for the Joint Dispatch of Cascaded Hydropower and Renewables
por: Santosuosso, Luca, et al.
Publicado: (2025)

Towards Exact Temporal Aggregation of Time-Coupled Energy Storage Models via Active Constraint Set Identification and Machine Learning
por: Klatzer, Thomas, et al.
Publicado: (2025)

Implementing Dynamic Power Feed-In Limitations of Photovoltaic Systems in Distribution Grids for Generation Expansion Planning
por: Konrad, Alexander, et al.
Publicado: (2025)

Congestion-Sensitive Grid Aggregation for DC Optimal Power Flow
por: Stöckl, Benjamin, et al.
Publicado: (2025)

Simplification Ad Absurdum? Revisiting Gas Flow Modeling for Integrated Energy System Planning
por: Klatzer, Thomas, et al.
Publicado: (2026)

Voltage-Aware Grid Aggregation: Expanding the European High-Voltage Network
por: Stöckl, Benjamin, et al.
Publicado: (2026)

Cost versus Resilience in Energy Communities: A Multi-Objective Member-Focused Analysis
por: Gruber, Lia, et al.
Publicado: (2025)

Mapping Austria's Natural Gas and Hydrogen Infrastructure Plans
por: Quantschnig, Marco, et al.
Publicado: (2026)

A Scenario-Spatial Decomposition Approach With a Performance Guarantee for the Combined Bidding of Cascaded Hydropower and Renewables
por: Santosuosso, Luca, et al.
Publicado: (2025)

Feedback Enhancement of Time Series Aggregation for Power System Expansion Planning
por: Zhang, Ruiqi, et al.
Publicado: (2025)

NPAP: Network Partitioning and Aggregation Package for Python
por: Anarmo, Marco, et al.
Publicado: (2026)

Towards time series aggregation with exact error quantification for optimization of energy systems
por: Gómez, Beltrán Castro, et al.
Publicado: (2025)

Connecting Representative Periods in Energy System Optimization Models using Markov-Matrices
por: Auer, Felix C. A., et al.
Publicado: (2025)

Scenario Reduction for the Two-Stage Stochastic Unit Commitment Problem
por: Werner, Yannick, et al.
Publicado: (2025)

Analyzing Performance and Scalability of Benders Decomposition for Generation and Transmission Expansion Planning Models
por: Cole, David L., et al.
Publicado: (2026)

From Zonal to Nodal Capacity Expansion Planning: Spatial Aggregation Impacts on a Realistic Test-Case
por: Glista, Elizabeth, et al.
Publicado: (2025)

Towards Fast and Safety-Guaranteed Trajectory Planning and Tracking for Time-Varying Systems
por: Siriya, Seth, et al.
Publicado: (2024)

Dual Privacy Guarantees for Distributed Nash Equilibrium Seeking in Aggregative Games
por: Meng, Qingtan, et al.
Publicado: (2026)

Shuffling Heuristic in Variational Inequalities: Establishing New Convergence Guarantees
por: Medyakov, Daniil, et al.
Publicado: (2025)

Scalable and Interactive Electricity Grid Expansion Planning
por: Degleris, Anthony, et al.
Publicado: (2024)

An Efficient Data Driven Model for Generation Expansion Planning with Short Term Operational Constraints
por: Shavandi, Hassan, et al.
Publicado: (2018)

Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance
por: Figueiredo, Eduardo, et al.
Publicado: (2025)

Bilevel Transmission Expansion Planning with Joint Chance-Constrained Dispatch
por: Xia, Yuxin, et al.
Publicado: (2025)

Capacity Expansion Planning for Puerto Rico's Electric Power System
por: Glista, Elizabeth, et al.
Publicado: (2026)

Data-Driven Performance Guarantees for Parametric Optimization Problems
por: Huang, Jingyi, et al.
Publicado: (2025)

An Efficient Hybrid Heuristic for the Transmission Expansion Planning under Uncertainty
por: Rocha, Yure, et al.
Publicado: (2026)

Flatness-based Quadcopter Trajectory Planning and Tracking with Continuous-time Safety Guarantees
por: Freire, Victor, et al.
Publicado: (2021)

Nodal Capacity Expansion Planning with Flexible Large-Scale Load Siting
por: Zuluaga, Tomas Valencia, et al.
Publicado: (2025)

Gradient Methods for Scalable Multi-value Electricity Network Expansion Planning
por: Degleris, Anthony, et al.
Publicado: (2024)

Uncertainty Partitioning with Probabilistic Feasibility and Performance Guarantees for Chance-Constrained Optimization
por: Cordiano, Francesco, et al.
Publicado: (2025)

Incremental Policy Iteration for Unknown Nonlinear Systems with Stability and Performance Guarantees
por: Meng, Qingkai, et al.
Publicado: (2025)

High-Performance Model Predictive Control for Quadcopters with Formal Stability Guarantees
por: Izadi, Maedeh, et al.
Publicado: (2024)

Adaptive Economic Model Predictive Control: Performance Guarantees for Nonlinear Systems
por: Degner, Maximilian, et al.
Publicado: (2024)

Closed-loop Performance Optimization of Model Predictive Control with Robustness Guarantees
por: Zuliani, Riccardo, et al.
Publicado: (2024)

Clustering and synchronization analysis of Networks of Bistable Systems
por: Villani, Gianluca, et al.
Publicado: (2024)

Hydrogen Network Expansion Planning considering the Chicken-and-egg Dilemma and Market Uncertainty
por: Kayacık, Sezen Ece, et al.
Publicado: (2025)

Adaptive Two-stage Stochastic Programming with an Analysis on Capacity Expansion Planning Problem
por: Basciftci, Beste, et al.
Publicado: (2019)