Sensing, networking, and computing are becoming more pervasive, providing the potential to revolutionize our approach to residential energy consumption by assisting energy conservation and increasing the sustainability of energy use to improve users’ quality of life. There are many ways to approach the implementation of home energy management infrastructure.
This dissertation builds a comprehensive picture of such a system that combines a network of consumer-grade home automation components with sophisticated data analytics to manage home energy and contrasts it with a specifically targeted approach based on a custom sensor package. The comprehensive system takes input from various sensors and user input to detect activity, predict home energy consumption, and help the user understand his energy use. The custom sensor eschews the large sensing infrastructure as it helps the user hunt down sources of wasted energy. The projects use in-home hardware and software, a mobile component for user interaction, and a back-end for coordination and computation. These projects exemplify the use of emerging technologies for data collection, user feedback, and data analysis in a residential setting. By contrasting prototypes of a compre- hensive and a specialized system, building energy management infrastructure is explored from multiple directions.
|Commitee:||Nicholas, Charles, Robucci, Ryan, Roy, Nirmalya, Zhu, Ting|
|School:||University of Maryland, Baltimore County|
|School Location:||United States -- Maryland|
|Source:||DAI-B 80/01(E), Dissertation Abstracts International|
|Keywords:||Building energy, Sensors, Smarthome|
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