Sensor data correction in building automation systems using deep learning

Building automation systems (BAS) are a class of cyber-physical systems (CPS) that aim to improve the energy efficiency of HVAC and other equipment through intelligent control. Typically, sensor measurements are used to compute for the optimal control action equipment. One of the problems that could...

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主要作者:	Calimbahin, Caezarina Marie F. (Author)
其他作者:	Festin, Susan P. (adviser.), Pedrasa, Jhoanna Rhodette I. (co-adviser.)
格式:	Thesis
語言:	English
主題:	Detectors. Energy consumption. Building Automation Systems (BAS). Cyber-Physical Systems (CPS). Heating,Ventilation and Air Conditioning (HVAC).