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Very Exciting: Zero-Shot Model Predictive Control of Buildings via Excitation-Based Generalized Transfer Learning Models

US & West · yesterday

arXiv:2609.12853v1 Announce Type: new Abstract: The widespread adoption of data-driven, energy-efficient model predictive control (MPC) in buildings remains hindered by substantial effort to collect data and train models for individual buildings.

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Original headline: Very Exciting: Zero-Shot Model Predictive Control of Buildings via Excitation-Based Generalized Transfer Learning Models

Read the original: arXiv — Systems and Control (eess.SY)

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Very Exciting: Zero-Shot Model Predictive Control of Buildings via Excitation-Based Generalized Transfer Learning Models

Relevant to DT products

Related

NDT Factory: Synthesizing Verified Network Digital Twins from Semantic Models via Multi-Agent LLM

AccelMPC: High-Rate, Low-Power FPGA-Accelerated Model Predictive Control for Tiny Drones

A Model-Centric DevOps Architecture for DEVS-Based Digital Twin Simulation Services