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Informed machine learning to develop a reduced order model of unitary equipment.
Recommended by the IIR / IIR document
A robust fault diagnosis method for HVAC systems with domain knowledge augmented machine learning.
Application of machine learning classification methods in fault detection and diagnosis of rooftop units.
IIR document
Energy and exergy analysis of a subfreezing evaporator environment ammonia-water absorption refrigeration cycle: Machine learning and parametric optimization.
A semi-supervised data-driven approach for chiller refrigerant leakage detection.
A platform-based product family design method using physical similarity law and its application to room air conditioners.
Research on fault diagnosis strategy of air-conditioning system based on signal demodulation and BPNN-PCA.
Machine learning and high-throughput screening algorithms for optimization of magnetocaloric effect in all-d-metal Heusler alloys.
Estimation of Ranque-Hilsch vortex tube performance by machine learning techniques.
Computer vision and machine learning methods for heat transfer and fluid flow in complex structural microchannels: a review.
Soft faults evaluation for electric heat pumps: Mechanistic models versus machine learning tools.
An interpretable machine learning method for fault diagnosis of heating, ventilation and air conditioning systems.
Developing learning-based models for occupant centric control.
An intelligent fault detection and diagnosis model for refrigeration systems with a comprehensive feature selection method.
A comprehensive review: Fault detection, diagnostics, prognostics, and fault modeling in HVAC systems.
Refrigeration sector monitoring
4 results
Must read in IJR: a comprehensive review on fault detection in HVAC systems
The latest research and developments in the fault detection and diagnostics of HVAC systems are presented in several articles recently published in the IJR.
Applications of Artificial Intelligence to refrigeration systems
AI techniques, which are currently very topical, are the subject of intense research and development. Overview of their applications and benefits in the refrigeration sector, based on the latest articles...
Applications of artificial intelligence to refrigeration plants
A paper from the IIR TPTPR conference presents the energy performance and maintenance benefits of 19 refrigeration plants using artificial intelligence techniques.
ICCC2020 highlights: Benefits of IoT technologies for cold chain management
Internet of Things and cloud services are promising solutions for smart management and maintenance of the multiple cold rooms of supermarket chains.
IIR news
2 results
Two IIR Informatory Notes on hot topics
The IIR has recently published two Informatory Notes on high-stakes subjects: flammable refrigerants and the Internet of Things and Artificial Intelligence in refrigeration and air...
Focus on the last events in June 2021
In June 2021, the IIR organised two conferences: Thermag and HFO. It also participated in the European Conferences on the latest technologies in refrigeration and air conditioning organised by Centro Studi...
