Heating and Cooling
Industrial Heating and Cooling using ML
Primary objective of this project is to improve the Coefficient of Performance (COE ) of any industrial heating/cooling unit by applying machine learning .
In this project we aim to develop an adaptive framework for Industrial Heating/Cooling units that trains neural networks for different operating environment to provide an optimal COE for the units. An on-line data-driven control system incorporating the framework along with numerous sensors and actuators will help obtain the goal.