Paper Info
Title
SMELs: A Data-Driven Middleware for Smart Miscellaneous Electrical Load Management in Buildings
Abstract
Growth in Information and Communication Technology (ICT) has trigged an unprecedented proliferation of appliances a.k.a. Miscellaneous Electrical Loads (MELs) in buildings. Till now, managing MELs energy consumption in an optimum, cost-effective and intelligent manner in buildings remain an open-challenge. This article introduces a new supervised, data-driven middleware towards Smart Miscellaneous Electrical Load management in buildings (SMELs). It can perform automatic extraction, modeling and classification of the semantics of office appliances by analyzing aggregated electrical load signatures from several electrical outlets in the workplace environment. The results of analyzing more than 2,000 electrical load signatures from office workstations present classification performance ranging from 79.4% upto 95.8%. The preliminary findings from the study demonstrate the potential of SMELs as a middleware technology in Internet-of-Things (IoT) enabled smart buildings. The novelty of the proposed approach lies in combining the use of optimum sensors and existing data-driven techniques to extract detailed insights about appliances operation in real buildings.
Year
DOI
Venue
2018
10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00038
2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
Keywords
Field
DocType
Miscellaneous electrical loads,middleware,building technology,temporal features,classification,office buildings
Middleware,Data-driven,Electrical load,Computer science,Workstation,Information and Communications Technology,Building automation,Big data,Energy consumption,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-5386-7519-9
0
0.34
References 
Authors
8
5
Name
Order
Citations
PageRank
Balaji Kalluri Mallikarjuna100.34
Sekhar Kondepudi231.09
Tham Kwok Wai320.73
Kua Harn Wei400.34
Andreas Kamilaris520615.70