Keynote / Invited Lecture 7

Title: Green Building Energy Analytics

Speaker: Dr. Nirmalya Roy, Assistant Professor, Department of Information Systems, University of Maryland Baltimore County, Baltimore, USA.

Abstract:
Green building applications need efficient and fine-grained determination of power consumption pattern of a wide variety of consumer-grade appliances through non-intrusive load monitoring (NILM) techniques. Fine-grained monitoring of everyday appliances can provide better feedback to the consumers and motivate them to change behavior in order to reduce their energy usage. It also helps to detect abnormal power consumption events, long-term appliance malfunctions and potential safety concerns. Commercially available plug meters can be used for individual appliance monitoring but for an entire house, each such individual plug meters are expensive and tedious to setup. In practice, deploying smart plug based NILM and acquiring the low-level power measures of a large number of devices is often difficult or impossible due to the deployment complexity and varying characteristics of devices and thus must instead be employed at the circuit or house-level and inferred through the incorporation of novel usage-based measurement and probabilistic level-based disaggregation algorithm. But the challenges in deploying non-intrusive load monitoring algorithm involve disaggregating individual device’s consumption from the aggregate power measurement, as well as modeling and incorporating the usage based prediction. In this talk I will discuss on advanced machine learning and data analytics algorithms that capture the measurement based approach and circuit level NILM with the autonomous profiling and prediction logic, and the significant practical impact of intelligent use of such profiling techniques for green building applications. I will conclude this talk with future research directions.

Speaker Profile:  Dr. Nirmalya Roy is currently an Assistant Professor in the Information Systems department at the University of Maryland Baltimore County (UMBC). His current research interests include pervasive healthcare, sensor-driven health technologies, design and modeling of smart environments, and green building energy analytics.  He is a recipient of Mark Weiser Best paper award in IEEE PerCom 2006 conference, Best paper award in QShine 2009 conference, Best paper award nomination in IEEE PerCom 2011 conference and Institute for Infocomm 2011 Best Research paper award. He is currently leading the NSF Green Building Energy Analytics project and Constellation Energy Education project at UMBC. Prior to joining UMBC, he was a Clinical Assistant Professor in the School of Electrical Engineering and Computer Science department at Washington State University. He worked as a Research Staff Member in the Institute for Infocomm Research (I2R) in Singapore from 2010 to 2011 and as a postdoctoral fellow in the Electrical and Computer Engineering department at the University of Texas at Austin from 2008 to 2009. He received his MS and PhD degrees in Computer Science and Engineering from the University of Texas at Arlington in 2004 and 2008, respectively. He received his B.E. degree in Computer Science and Engineering in 2001 from Jadavpur University, India. More information about him can be found at http://userpages.umbc.edu/~nroy.

 

Location

Department of Computer Science and Engineering,
National Institute of Technology Karnataka, Surathkal,
Mangalore – 575 025, India

 

Contact

ICECCS 2014 Conference Secretariat,
Department of Computer Science and Engineering,
National Institute of Technology Karnataka, Surathkal,
Mangalore – 575 025, India
Email:  iceccs.conference@gmail.com