Title: Efficient and Scalable clustering of Smart Meter dataMd. Mohiuddin Khan

Prospective Supervisor: Dr. Abdun Naser Mahmood, SEIT, UNSW, Canberra

Introduction

Research Motivation

Proliferation of smart grids. How vastly they are getting isntalled []. Requirements, Capabilities, and Implication of smart meters.What is Data Analytics. What is Clustering. How clustering helps the cause (details). Occupancy detection (with details), identify household appliances etc. Smart meters are getting smarter, increasing the frequency of reporting. As a result, typical data analytics may not cope up with the frequency of data and big data analytics would be needed []. Parties who can be benefited from this- stakeholders, customers, ?? []. Table---Analytics of large volume of data in real time is the challenge.

Research Objective

Research MethodologyUsing real life open source dataset as well as generating datasets[] . Fine-grained data could be better. Privacy is an important issue[ ] so we would also keep that in mind. Moreover, will consider renewableenergy sources like solar and wind energy and the effect of Evs. Evaluating the clustering using suitable evaluation techniques. Leveraging big data techniques to analyze real time data at high frequency.

Research Outcome

Conclusion

References