NDLI: A collective awareness platform for energy efficient smart buildings

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A collective awareness platform for energy efficient smart buildings

Content Provider	ACM Digital Library
Author	Amaxilatis, Dimitrios Chatzigiannakis, Ioannis Livathinos, Spyros
Abstract	Building Energy Management Systems (BEMS) are mature computer-based systems that manage, control and monitor different building technical services (such as heating, lighting etc.) and the energy consumption of devices used by the building. In the recent years, significant efforts have been made towards the integration of sensor devices and embedded computing systems with the Internet, thus transforming BEMS into a new era of Internet Buildings. Smart buildings can learn and even anticipate the needs of a buildings' occupants, including their preferences for light, temperature and other services, resulting in energy savings through targeted supply. In this work we argue that in such future buildings, it will be simply infeasible to expect individuals to be aware of the full range of potentially relevant possibilities and be able to pull them together manually. We thus propose a system that proactively guides users' interactions based on their preferences and constraints. We develop a collective awareness platform where the control of the smart building is balanced between the people and machines. We present the basic design principles, the implementation details and our experimental findings after evaluating our system in a real-world testbed.
Starting Page	295
Ending Page	296
Page Count	2
File Format	PDF
ISBN	9781450335515
DOI	10.1145/2801948.2801993
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-10-01
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Internet of things Smart buildings Human-agent collectives Experimental evaluation
Content Type	Text
Resource Type	Article

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