CIM's ACE Platform utilises the Industrial Internet of Things to monitor commercial plant and equipment. They deliver operational efficiencies, predictive maintenance and real time fault detection and diagnosis resulting in significant reductions in operating and capital expenditure. As the Chief Data Scientist, Troy is responsible for a team which applies cutting edge Machine Learning techniques to create value from the unique dataset the CIM Enviro system collects. His research areas include efficiency optimisation and automated fault detection.
Extract Value from Daily Operation Using Advanced Machine Learning Techniques
In this presentation Troy will present: - How to apply cutting edge Machine Learning techniques to create value from the unique dataset - How changes in the timing and quantity of energy consumption could creates significant value and then be used to optimise the operations - The future trends of applying IoT technologies in building and building management - Efficiency optimisation and automated fault detection