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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.
Edge computing approach to indoor temperature prediction using machine learning.
Machine learning based prediction of airflow maldistribution in A-type heat exchangers.
Generalizability of a machine-learning fault classifier utilizing a practical set of features for rooftop units.
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.
Machine learning and high-throughput screening algorithms for optimization of magnetocaloric effect in all-d-metal Heusler alloys.
Research on fault diagnosis strategy of air-conditioning system based on signal demodulation and BPNN-PCA.
A platform-based product family design method using physical similarity law and its application to room air conditioners.
A semi-supervised data-driven approach for chiller refrigerant leakage detection.
Machine-learning model of electric water heater for electricity consumption prediction.
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.
Estimation of Ranque-Hilsch vortex tube performance by machine learning techniques.
Refrigeration sector monitoring
6 results
Reinventing domestic refrigeration: How machine learning is powering energy savings
A team of researchers from Zhejiang University and HangZhou Kangbei Motor Co., Ltd in China developed a control strategy for domestic refrigerators based on behaviour prediction and...
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.
Design and operate data centres for the AI era
In order to meet the demanding workload from artificial intelligence (AI) along with the increased cooling needs, the industry must upgrade and innovate when designing data...
IIR news
4 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...
TPTPR2025 – the IIR’s conference on refrigerant research: Conference highlights and proceedings now available on FRIDOC
The 7th IIR Conference on Thermophysical Properties and Transfer Processes of Refrigerants (TPTPR2025) convened leading researchers to present the latest findings on low-GWP refrigerants and advanced...
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...
We are hiring a Data Scientist – Refrigeration and Sustainability Analytics
The IIR is seeking a talented and impact-driven Data Scientist to lead the design, analysis, and visualisation of data-driven insights across the refrigeration sector. This role will play a critical part in...
