Cover Image

Stochastic Model Predictive Control based on Mixed Random Variables for Economic Energy Management

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pinter, Janik, Beichter, Maximilian, Mikut, Ralf, Hagenmeyer, Veit, Zahn, Frederik
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Probabilistic Day-Ahead Battery Scheduling based on Mixed Random Variables for Enhanced Grid Operation
by: Pinter, Janik, et al.
Published: (2024)

Averaging favors MPC: How typical evaluation setups overstate MPC performance for residential battery scheduling
by: Pinter, Janik, et al.
Published: (2025)

Knowledge Distillation for Efficient Transformer-Based Reinforcement Learning in Hardware-Constrained Energy Management Systems
by: Henrich, Pascal, et al.
Published: (2026)

Decision-Focused Fine-Tuning of Time Series Foundation Models for Dispatchable Feeder Optimization
by: Beichter, Maximilian, et al.
Published: (2025)

Period-aware asymptotic gain with application to a periodically forced synchronization circuit
by: Ponomarev, Anton, et al.
Published: (2026)

Numerical estimation of the lock-in domain of a DC/AC inverter
by: Ponomarev, Anton, et al.
Published: (2025)

Rapid Scalable Distributed Power Flow with Open-Source Implementation
by: Dai, Xinliang, et al.
Published: (2022)

Adaptive Economic Model Predictive Control for linear systems with performance guarantees
by: Degner, Maximilian, et al.
Published: (2024)

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

Hypergraph-Based Fast Distributed AC Power Flow Optimization
by: Dai, Xinliang, et al.
Published: (2023)

Real-Time Coordination of Integrated Transmission and Distribution Systems: Flexibility Modeling and Distributed NMPC Scheduling
by: Dai, Xinliang, et al.
Published: (2024)

Enhanced Flexibility Aggregation Using LinDistFlow Model with Loss Compensation
by: Jiang, Yanlin, et al.
Published: (2025)

Distributed AC Optimal Power Flow: A Scalable Solution for Large-Scale Problems
by: Dai, Xinliang, et al.
Published: (2025)

Robust Stochastic Optimal Control via variance penalization: Application to Energy Management Systems
by: Malisani, Paul, et al.
Published: (2024)

Near-Optimal Performance of Stochastic Model Predictive Control
by: Shin, Sungho, et al.
Published: (2022)

Fast Switching in Mixed-Integer Model Predictive Control
by: Makarow, Artemi, et al.
Published: (2024)

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

Inherently Robust Economic Model Predictive Control Without Dissipativity
by: McAllister, Robert D.
Published: (2024)

Distributed Stochastic Search for Multi-Agent Model Predictive Control
by: Yoon, Taehyun, et al.
Published: (2025)

Solving Two-Stage Stochastic Programs with Endogenous Uncertainty via Random Variable Transformation
by: Bazotte, Maria, et al.
Published: (2024)

Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning
by: Liu, Changrui, et al.
Published: (2025)

Error Accumulation using Linearized Models for Aggregating Flexibility in Distribution Systems
by: Jiang, Yanlin, et al.
Published: (2025)

Analysis of Stability and Performance of Economic Model Predictive Control with State-Independent Costs
by: Arastou, Alireza, et al.
Published: (2026)

Economic Model Predictive Control for Periodic Operation: A Quadratic Programming Approach
by: Borja-Conde, Jose A., et al.
Published: (2025)

Stability and Convergence of a Randomized Model Predictive Control Strategy
by: Veldman, Daniël, et al.
Published: (2022)

Switching Frequency Limitation with Finite Control Set Model Predictive Control via Slack Variables
by: Hartmann, Luca M., et al.
Published: (2023)

KKT Optimality Conditions for Multiobjective Optimal Control Problems with Endpoint and Mixed Constraints: Application to Sustainable Energy Management
by: Adly, Samir, et al.
Published: (2024)

Predictive Energy Management for Hybrid Powertrains
by: Vedula, Satish, et al.
Published: (2026)

StochasticBarrier.jl: A Toolbox for Stochastic Barrier Function Synthesis
by: Mazouz, Rayan, et al.
Published: (2026)

Stochastic Model Predictive Control with Online Risk Allocation and Feedback Gain Selection
by: Barbosa, Filipe Marques, et al.
Published: (2026)

An Overview of Sensitivity-Based Distributed Optimization and Model Predictive Control
by: von Esch, Maximilian Pierer, et al.
Published: (2025)

On Data-Driven Stochastic Output-Feedback Predictive Control
by: Pan, Guanru, et al.
Published: (2022)

The Scenario Approach for Stochastic Model Predictive Control with Bounds on Closed-Loop Constraint Violations
by: Schildbach, Georg, et al.
Published: (2013)

Indefinite Stochastic LQ Optimal Control for Jump-Diffusion Systems with Random Coefficients
by: Ma, Xinyu, et al.
Published: (2026)

Zero-sum Stochastic Differential Games of Impulse Control with Random Intervention Costs
by: Perninge, Magnus
Published: (2025)

Variable Aggregation-based Perspective Reformulation for Mixed-Integer Convex Optimization with Symmetry
by: Wu, Junhao, et al.
Published: (2026)

Sensitivity-Based Distributed Model Predictive Control for Nonlinear Systems under Inexact Optimization
by: von Esch, Maximilian Pierer, et al.
Published: (2024)

Stochastic Model Predictive Control for Sub-Gaussian Noise
by: Ao, Yunke, et al.
Published: (2025)

Some Studies on Stochastic Optimization based Quantitative Risk Management
by: Hu, Zhaolin
Published: (2025)

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