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Contextual Quality-Diversity Evolutionary Reinforcement Learning for HVAC Control in Tropical Commercial Buildings

arXiv cs.LG ↗ · 2026-08-13 Cached

This paper presents CQD-ERL, a contextual quality-diversity evolutionary reinforcement-learning controller for tropical commercial building HVAC systems, evaluated against an ASHRAE Guideline 36 baseline. It addresses the unique challenges of tropical climates with a safety-shielded, multi-policy archive approach.

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Development of FDD-ON: an Ontology for VAV HVAC System Fault Detection and Diagnostics

arXiv cs.AI ↗ · 2026-08-03 Cached

This paper presents FDD-ON, a modular ontology for representing VAV HVAC system components, faults, symptoms, and impacts to enable interoperable fault detection and diagnostics applications.

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Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning

arXiv cs.LG ↗ · 2026-07-21 Cached

Introduces Building2Building (B2B), a large-scale benchmark for studying generalization and transfer in reinforcement learning using realistic HVAC control environments built on EnergyPlus, compatible with Gymnasium.

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A Unified Python Framework for Direct PPO-based Control of AHUs with Economizer Logic and CO2-Constrained Ventilation

arXiv cs.LG ↗ · 2026-05-26 Cached

A unified Python framework using PPO-based deep reinforcement learning for optimizing HVAC control with economizer logic and CO2-constrained ventilation is presented, showing improved energy efficiency and temperature stability over traditional PID controllers.

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Best Window Air Conditioners of 2026: Midea, Zafro, GE

Wired ↗ · 2026-05-21 Cached

WIRED reviews the best window air conditioners of 2026, including models from Midea, Zafro, GE, Della, and LG, highlighting smart features like app control and voice assistant support, as well as heat pump efficiency.

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