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Self-Configuring and Self-Adaptive Environment Control Systems for Buildings

Abstract Lighting systems and air-conditioning systems are two of the largest energy consuming end-uses in buildings. Lighting control in smart buildings and homes can be automated by having computer controlled lights and window blinds along with illumination sensors that are distributed in the building, while temperature control can be automated by having computer controlled air-conditioning systems. However, programming actuators in a large-scale environment for buildings and homes can be time consuming and expensive. This dissertation presents an approach that algorithmically sets up the control system that can automate any building without requiring custom programming. This is achieved by imbibing the system self calibrating and self learning ab... (more)
Created Date 2015
Contributor Wang, Yuan (Author) / Dasgupta, Partha (Advisor) / Davulcu, Hasan (Committee member) / Huang, Dijiang (Committee member) / Reddy, T. Agami (Committee member) / Arizona State University (Publisher)
Subject Computer science / Artificial intelligence / Environmental science / Air-Conditioning Control / Cyber-Physical System / Lighting Control / Optimization / Smart Buildings / Wireless Sensor Network
Type Doctoral Dissertation
Extent 99 pages
Language English
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Computer Science 2015
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis