Scalable Distributed Learning-Based MPC for Heterogeneous Consumer-Prosumer Building Aggregations: MPC-Aware Feature Selection and Convex Constraint-Coupled Optimization

arXiv:2605.30763 · eess.SY, cs.SY · Submitted 2026-05-29 · Read on arXiv

eess.SY, cs.SY

Submitted: 2026-05-29

Updated: 2026-09-25

Comments: 20 pages, 5 figures, 5 tables. Revised manuscript with substantial updates to the methodology, experiments, results, and discussion

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Aggregation — 48× in this paper · explained in 1 episode
• Feature Selection — 21× in this paper · explained in 4 episodes
• Demand Response — 11× in this paper
• Model Predictive Control — 8× in this paper
• Fidelity — 7× in this paper · explained in 2 episodes
• Pruning — 6× in this paper · explained in 4 episodes
• Redundancy — 6× in this paper · explained in 2 episodes
• Core — 5× in this paper · explained in 2 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Constraint-Coupled Problem — 4× in this paper
• Accuracy — 3× in this paper · explained in 1 episode
• Local Optimization — 3× in this paper · explained in 2 episodes
• Model Predictive Control (MPC) — 3× in this paper · explained in 5 episodes
• Alternating Direction Method of Multipliers (ADMM) — 2× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Objective Function — 2× in this paper · explained in 2 episodes
• Tracking Alternating Direction Method of Multipliers — 2× in this paper
• Activation Function — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Convergence Guarantees — 1× in this paper · explained in 3 episodes
• Curse of Dimensionality — 1× in this paper · explained in 6 episodes
• Distributed Energy Resource — 1× in this paper
• Heat Pump — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• State of Charge — 1× in this paper
• Time Series Forecasting — 1× in this paper · explained in 3 episodes

Sources

• Efficient Data-Driven MPC for Demand Response of Commercial Buildings
• Optimal Control Via Neural Networks: A Convex Approach

Related papers

• One Request, Multiple Experts: LLM Orchestrates Domain Specific Models via Adaptive Task Routing
• A Geometric Decision Procedure for STL Feasibility and Repair
• From Asymptotic to Designer-Assigned-Time Control: A Review of Stability Notions, Design Mechanisms, and Controller Architectures
• Battery Second Life: A Review of Experimental Studies
• Submodular Multi-Agent Policy Learning for Online Distributed Task Allocation in Open Multi-Agent Systems
• Policy-Level Recursive Self-Improvement for Embodied AI with a Criticality World Model