Symposium Co-Chairs

  • Holger Hirsch, University Duisburg Essen, GERMANY
  • Surya Santoso, University of Texas at Austin, USA
  • Alexandre da Silva, GE Global Research Center, Brazil
  • Chen Chen, Argonne National Laboratory, USA

Scope and Motivation

This symposium is focused on large-scale data management, analytics, and dynamic pricing to operate large-scale electricity transmission and distribution networks and to manage the associated electricity marketplaces which also span generation and demand, or large and distributed installations such as multi-homed data centers. In power engineering, big-data analytics are required to process data from numerous and spatially diffuse PMUs and/or smart-meters. Such analytics require communications, storage and computational systems that are suitable for speedy, secure, and reliable processing. Big data can be used to establish a “dynamic price” that is broadcasted to consumers to elicit load responsiveness to improve the efficiency, flexibility, and cost of operating power systems

Topics of Particular Interest

This symposium focuses on, but it is not limited to, the following aspects:
·        Data management strategies:
​- hierarchical strategies for wide-area monitoring and visualization
- system-state estimation
- innovative use of cloud architectures
- reliable and privacy-preserving storage and communication of large data quantities from diffuse sources
·        Analytics:
​- "big data" issues
- machine learning 
- privacy-preserving analytics
- semantic techniques
- real-time data analysis and decision making
·        Application of data management and analytics:
- power-grid transmission and distribution management
- electricity marketplace
- exploitation of intermittently available renewables in economically sensible fashion (considering ramp-up/down costs and dynamics of legacy supply)
- demand aggregation 
- managing future electric vehicle demand at scale
- managing smart buildings/houses at scale
- advanced metering infrastructure/smart meters
- phasor measurement units (PMUs)
- data centers
- load forecasting and price forecasting
- weather forecasting
- asset management
- demand response
- social media data integration for utility applications
- case studies
·       Dynamic pricing
-Empirical analysis of pricing/control mechanisms for demand side management
-Modeling residential, commercial, and industrial consumer behavior
-Aggregation frameworks and mechanism design
-Smart grid services provided by demand side resources
-The investment and pricing of renewable energy sources
-Market impact on smart grid performance (e.g., retail competition, dynamic pricing & demand response, impact of wholesale market competition)
-Generation, load, and price forecasting in deregulated markets
-Virtual power plants

Technical Program Committee (TPC) Members

Saima Aman, University of Southern California, USA
Ghassane Aniba, Mohammadia School of Engineers - Mohammed V University of Rabat, Morocco
Ali Arab, University of Houston, USA
Visvakumar Aravinthan, Wichita State University, USA
Chadi Assi, Concordia University, Canada
Sambaran Bandyopadhyay, IBM Research, India
Islam Safak Bayram, Hamad Bin Khalifa University and Qatar Environment and Energy Research Institute, Qatar
Michael Beigl, KIT, Germany
Mario Berges, Carnegie Mellon University, USA
Dinesh Bhatia, University of Texas Dallas, USA
Hasnae Bilil, Mohammadia School of Engineers - Mohammed V University of Rabat, Morocco
Rakesh Bobba, Oregon State University, USA
Julio Borges, Karlsruhe Institute of Technology, Germany
Frank Borth, University of Illinois at Urbana-Champaign, USA
Arash Boustani, Wichita State University, USA
Kyle Bradbury, Duke University, USA
Hông-Ân Cao, ETH Zurich, Switzerland
Stephan Cejka, Siemens AG Österreich, Austria
Harold Chamorro, KTH Royal Institute of Technology, Sweden
Vikas Chandan, IBM Research India, India
Tsung-Hui Chang, The Chinese University of Hong Kong, Shenzhen, Taiwan
Nicholas Czarnek, Duke University, USA
Michael D. Knudsen, Aarhus University, Denmark
Sampath Dechu, IBM Research, India
Chris Develder, Ghent University - iMinds, Belgium
Yong Ding, Karlsruhe Institute of Technology, Germany
Dongliang Duan, University of Wyoming, USA
Francois Fouquet, SnT, University of Luxembourg, Luxemburg
Tanuja Ganu, IBM Research - India, India
Nikolaos Gatsis, The University of Texas at San Antonio, USA
Tara Gibson, Pacific Northwest National Laboratory, USA
Jiahui Guo, University of Tennessee, Knoxville, USA
Yuanxiong Guo, Oklahoma State University, USA
Miao He, Texas Tech University, USA
Abiodun Iwayemi, Illinois Institute of Technology, USA
Murtuza Jadliwala, Wichita State University, USA
Ruoxi Jia, UC Berkeley, USA
Yinan Jing, Fudan University, P.R. China
Emre Kara, Lawrence Berkeley National Laboratory, USA
Sousso Kelouwani, Université du Québec à Trois-Riviéres, Canada
Amin Khodaei, University of Denver, USA
Siham Khoussi, Mohammadia School of Engineering, Morocco
Jinsub Kim, Oregon State University, USA
Jacques Klein, SnT, University of Luxembourg, Luxemburg
Ramachandra Kota, IBM Research, India
Javad Lavaei, Columbia University, USA
Hyoseop Lee, Encored Technologies, Korea
Fangxing Li, University of Tennessee, USA
Wenjin (Jason) Li, Hong Kong University of Science and Technology, Hong Kong
Hesen Liu, the University of Tennessee, USA
Vincent Lonij, IBM, Ireland
Xinjie Lv, IBM, P.R. China
Richard Macwan, University of Illinois, USA
Anindya Maiti, Wichita State University, USA
Daud Mustafa Minhas, Muhammad Ali Jinnah University, Islamabad, Pakistan
Marilena Minou, Athens University of Economics and Business, Greece
Darakhshan Mir, Wellesley College, USA
Karan Mitra, Luleå University of Technology, Sweden
Alexandru Moga, ABB Corporate Research, Switzerland
Klara Nahrstedt, University of Illinois, USA
Vinod Namboodiri, Wichita State University, USA
Martin Neumann, Karlsruhe Institut of Technology (KIT), Germany
Dusit Niyato, Nanyang Technological University, Singapore
Khmaies Ouahada, University of Johannesburg, South Africa
Peter Palensky, Austrian Institute of Technology, Austria
Miao Pan, University of Houston, USA
Dzung Phan, IBM, USA
Liping Qian, Zhejiang University of Technology, P.R. China
Junjie Qin, Stanford University, USA
Suvendi Rimer, University of Johannesburg, South Africa
Sergi Rotger-Griful, Aarhus University, Denmark
Walid Saad, Virginia Tech, USA
Leyna Sadamori, ETH Zurich, Switzerland
Saguna Saguna, Luleå University of Technology, Sweden
Poorva Sharma, Pacific Northwest National Lab., USA
Komal Shetye, University of Illinois at Urbana-Champaign, USA
Mathieu Sinn, IBM, Ireland
Pirathayini Srikantha, University of Toronto, Canada
Paul Stadler, Ecole Polytechnique Federale de Lausanne, Switzerland
Erwin Stamm, Karlsruhe Institute of Technology, Germany
Matthias Strobbe, University of Ghent, Belgium
Shivaram Subramanian, IBM Research, USA
Jun Tan, University of Wisconsin-Milwaukee, USA
Jun Tan, UWM, P.R. China
Xiaoqi Tan, Hong Kong University of Science and Technology, Hong Kong
Guoming Tang, University of Victoria, Canada
Wanrong Tang, The Chinese University of Hong Kong, Hong Kong
Wenyuan Tang, University of Southern California, USA
Mohamed Toub, Mohammadia School of Engineering, Morocco
Danny Tsang, HKUST, Hong Kong
Danny H. K. Tsang, Hong Kong University of Science and Technology, Hong Kong
Mosaddek Tushar, Concordia University, Canada
Akshay Uttama Nambi, TU Delft, The Netherlands
Arun Vishwanath, IBM Research, Australia
Zhifang Wang, Virginia Commonwealth University, USA
Zhu Wang, University of Toledo, USA
Chenye Wu, Carnegie Mellon University, USA
Yingmeng Xiang, UWM, USA
Ti Xu, University of Illinois, USA
Lei Yang, Arizona State University, USA
Wenxian Yang, Institute for Infocomm Research, A*STAR, Singapore
Jiafan Yu, Stanford University, USA
Wenpeng Yu, University of Tennessee, USA
Xiao-Jun Zeng, University of Manchester, United Kingdom
Baosen Zhang, University of Washington, USA
Yichi Zhang, University of Toledo, USA
Yu Zhang, University of Minnesota, USA
Ziang Zhang, Binghamton University, USA
Yue Zhao, Stony Brook University, USA
Hao Zhu, University of Illinois, USA