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Article type: Research Article
Authors: Stavropoulos, Thanos G.a; b; * | Koutitas, Georgeb | Vrakas, Dimitrisa | Kontopoulos, Efstratiosc | Vlahavas, Ioannisa; b
Affiliations: [a] Department of Informatics, Aristotle University of Thessaloniki, University Campus, 54124 Thessaloniki, Greece | [b] School of Science and Technology, International Hellenic University, 14th km Thessaloniki–Moudania, 57001 Thessaloniki, Greece | [c] Information Technologies Institute, Centre of Research & Technology – Hellas, 6th km Charilaou–Thermi Rd, 57001 Thessaloniki, Greece
Correspondence: [*] Corresponding author. E-mail: athstavr@csd.auth.gr.
Abstract: This paper presents a novel, integrated platform for energy monitoring, management and savings in the context of a Smart University Building. Namely, the proposed Smart International Hellenic University (IHU) platform integrates an intelligent, rule-based agent that enforces savings, while a variety of applications offers user interaction with the system and the means for monitoring and management. The application layer is built over a common Web Service middleware, incorporating semantic interoperability. Monitoring applications visualize raw and aggregated sensor readings, such as building energy disaggregation, environmental measurements and data center efficiency. Extensive monitoring capabilities allow users to take immediate action and devise policies towards energy-savings. Such policies are, then, autonomously enforced by the intelligent, hybrid agent, which is capable of both deliberative (long-term) and reactive (immediate) actions. The agent is also integrated with the OpenADR standard for receiving provider instructions in future Smart Grids. A pilot deployment of the agent with expert-formulated policies at the IHU premises, has managed to reduce the total daily consumption of a typical university office by approximately 16%.
Keywords: Smart grids, sensor networks, web services, semantic web, ambient intelligence
DOI: 10.3233/AIS-160375
Journal: Journal of Ambient Intelligence and Smart Environments, vol. 8, no. 3, pp. 301-323, 2016
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