Program

Thursday, May 24

Room: Empire C

Real-time Disaggregation of User Power Consumption using the Viterbi Algorithm: Yue Yang (Qualcomm & University of Washington, USA)
Minimizing the Convergence Error for the Smart Grid with Duration-Limited Communications: Ruimeng Gan, Jinliang Shao, Yue Xiao, Yulan Gao and Bin Fu (University of Electronic Science and Technology of China, P.R. China)
Reinforcement Learning based Pricing for Demand Response: Amir Ghasemkhani and Lei Yang (University of Nevada, Reno, USA)
Real-Time Testbed for Diversity in Powerline and Wireless Smart Grid Communications: Junmo Sung and Brian L Evans (The University of Texas at Austin, USA)
Reliability and Resiliency Analysis of Modern Distribution Grids Using Reliability Graphs: Kieran Morris, Dong-Seong Kim, Alan Wood and Graeme K Woodward (University of Canterbury, New Zealand)
Optimized Scheduling of Smart Meter Data Access for Real-time Voltage Quality Monitoring: Mohammed Seifu Kemal (Aalborg Univeristet, Denmark); Rasmus Olsen and Hans-Peter Schwefel (Aalborg University, Denmark)

Room: Empire C

Demand response scheduling in production lines constrained by available power: Alemayehu Addisu Desta (ESIEE, France); Hakim Badis (UPEM, France); Laurent George (UPEM, LIGM, ESIEE, France)
Optimal Power Splitting and Censoring Strategies for SWIPT-Enabled DF Relay Systems with Relay Censoring: Yu-Fen Cheng and Feng-Tsun Chien (National Chiao Tung University, Taiwan); Ronald Y. Chang (Academia Sinica, Taiwan)
Achievable Rate and Ergodic Capacity for Power Line Communication Systems under Impulsive Noise: Yuwen Qian (Nanjing University of Science and Technology, P.R. China); Hu Xie (Nanjing University of Science and Technology, P.R. China); Xiangwei Zhou and Feixiang Zhang (Louisiana State University, USA)
A Cognitive Radio Enabled Smart Grid Testbed Based on Software Defined Radio and Real Time Digital Simulator: Minglei You, Qitao Liu and Hongjian Sun (Durham University, United Kingdom (Great Britain))
Implementation of a Smart Grid Communication System Compliant with IEEE 2030.5: Marwan Ghalib, Arslan Ahmed, Ismael Al-Shiab, Zied Bouida and Mohamed Ibnkahla (Carleton University, Canada)