#building-automation News & Analysis

4 articles tagged with #building-automation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

4 articles

AINeutralarXiv – CS AI · Jun 236/10

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ThermoLLM: Thermodynamics-Aware HVAC Control with Spatial-Semantic Knowledge Graph

Researchers present ThermoLLM, a Large Language Model-based framework for multi-zone HVAC control that integrates thermodynamic physics and spatial building semantics through a knowledge graph. The system outperforms standard baselines and competing LLM approaches by reasoning about zone coupling and thermal interactions, achieving superior energy-comfort trade-offs in building simulations.

GeneralNeutralarXiv – CS AI · Jun 106/10

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A Survey on Semantic Modeling for Building Energy Management

A comprehensive survey examines semantic modeling approaches for Building Energy Management (BEM), analyzing 60 semantic models and 20+ ontology-based use cases to address data interoperability challenges. The research identifies significant gaps in how current ontologies represent abstract operational concepts like performance indicators and control logic, highlighting the need for more integrated semantic frameworks to enable autonomous, context-aware building systems.

AINeutralarXiv – CS AI · Jun 26/10

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Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings

Researchers developed an explainable deep reinforcement learning framework for optimizing energy management in buildings with renewable sources, battery storage, and dynamic pricing. Testing on real-world data from KIT's Living Lab Energy Campus showed that on-policy algorithms (A2C, PPO) outperformed off-policy methods while providing transparent insights into decision-making processes.

AINeutralarXiv – CS AI · May 286/10

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OccuReward: LLM-Guided Occupant-Centric Reward Shaping for Demographic Equity in Grid-Interactive Buildings

Researchers introduce OccuReward, an LLM-guided framework that shapes reward functions for AI-controlled building energy systems to promote demographic equity in occupant comfort. Testing with four occupant profiles reveals significant disparities in initial AI performance, with elderly female occupants experiencing lowest satisfaction, though targeted refinement achieved dramatic improvements (567% for elderly females) while reducing energy costs by 3.2%.

🧠 Gemini