IoT-Based HVAC Control
IoT-Based Multi-Speed HVAC Control: Simulation Results and Testbed Development Maintaining thermal comfort and indoor air quality while minimizing energy consumption is a key challenge in …
Ilkay Ulusoy
EnergyPlus-SAREF
Ontology-Driven Smart Building Semantics: An EnergyPlus-SAREF Approach The growing complexity of smart buildings and IoT ecosystems demands standardized and interoperable frameworks that can seamlessly integrate …
MAML-RL for HVAC
Analysis of Model-Agnostic Meta-Reinforcement Learning on Automated HVAC Control Heating, Ventilation, and Air Conditioning (HVAC) systems consume nearly one-quarter of global building energy use, making …
Deep Learning Waste Classification
Benchmarking Deep Learning Models For Automated Waste Classification Recycling is a cornerstone of sustainable development, yet traditional waste sorting methods remain manual, error-prone, and inefficient, …
LSTM-based HVAC Simulator
Accelerating Reinforcement Learning for HVAC Systems Using an LSTM-based Surrogate Simulator Heating, Ventilation, and Air Conditioning (HVAC) systems are among the largest contributors to global …
Material Characterization
Material Characterization Based on Capacitive and Dielectric Properties for Waste Recycling Modern recycling systems face major challenges due to improper waste separation and contamination, which …
Q-Learning for HVAC
User comfort and energy efficiency in HVAC systems by Q-learning This research introduces an intelligent control strategy for Heating, Ventilation, and Air Conditioning (HVAC) systems …