Blar i SINTEF Community på emneord "Machine learning"
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Application of machine learning to the identification of quick and highly sensitive clays from cone penetration tests
(Peer reviewed; Journal article, 2020)Geotechnical classification is vital for site characterization and geotechnical design. Field tests such as the cone penetration test with pore water pressure measurement (CPTu) are widespread because they represent a ... -
Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses
(Peer reviewed; Journal article, 2023)This paper introduces a methodology for predicting a warehouse’s reduced load while offering flexibility. Physics-based energy simulations are first performed to model flexibility events, which involve adjusting cooling ... -
The Role of Machine Learning in Managing Uncertainty in Projects – A View on Early Warning Systems
(Proceedings of the European Conference on Management, Leadership and Governance (ECMLG);, Chapter; Peer reviewed; Conference object, 2022)Machine learning techniques deals with, among other things, pattern recognition in large amounts of data to identify trends and possible events in the future regarding a given topic of interest. Machine learning methods ... -
Selecting the model and influencing variables for DHW heat use prediction in hotels in Norway
(Peer reviewed; Journal article, 2020)Domestic hot water heat use prediction modelling is an important instrument for increasing energy efficiency in many buildings. This article addressed hourly domestic hot water heat use prediction, using a Norwegian hotel ... -
The Study of Facial Muscle Movements for Non-Invasive Thermal Discomfort Detection via Bio-Sensing Technology. Part I: Development of the Experimental Design and Description of the Collected Data
(Peer reviewed; Journal article, 2020)In the time of climate change, as heat waves become a more regular occurrence, indoor thermal comfort is an important factor in day to day life. Due to such circumstances, many researchers have focused their studies on ...