MOHANDES    Since 1988Canadian Society of Iranian Engineers and Architects

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Intelligent Energy Management Systems (IEMS)

  • Wednesday, March 02, 2016
  • 6:15 PM - 8:30 PM
  • Sheraton Hotel - 600 Hwy 7 E, Richmond Hill

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  • Free for Mohandes Members. Non-members are required to contribute min $5 at entrance.

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About the seminar:


With rapid development of smart energy grids in North America and Europe, the interoperability among IT/ICT, Power and Control systems is also growing fast. Big Data Management techniques for optimal management & mining of energy data; IT/ICT infrastructure for efficient & secure energy data communication among SCADA, WAMS, Power Utilities (PUs) and Local Distribution Companies (LDCs); Analytical tools and Decision Support Systems (DSS) for optimal and efficient energy usage in industrial, commercial, residential, agricultural and institutional sectors are all top R&D topics within the smart grid industry and academia. In this seminar we will briefly introduce the following concepts (with proper application examples) to the audience:  Smart Energy Grids and their main components,  Intelligent Energy Management Systems/Solutions for future sustainable homes in North America,  Smart Grid and Renewable Energy systems business trends for the next 20 years in North America.


About the speaker:


Dr Ashkan Rahimi-Kian, Co-founder & CEO at I-EMS Group Ltd., Center for Urban Energy (CUE), Ryerson University, Toronto, Canada; Senior research scientist with the ECE Dept., Univ. of Toronto, Toronto, Canada (03/2015-03/2016); Associate Prof. in Control/Power system engineering, School of ECE, Univ. of Tehran (2004-2014); IEEE Senior member (since 2008); Professional Engineer; Founder and director of the Smart Networks Research Laboratory (SNL) at the School of ECE, UT (2010); Co-founder and executive member of the Iran’s Society of Smart Grid (2012). 


R&D interests: 

Smart Energy Grids, Intelligent Energy Management Systems/Solutions (IEMS), Operations Research & Multi-Objective Optimization, Big data management (with focus on data anonymization, mining and statistical analysis) for optimal & intelligent energy management, asset condition monitoring and optimal maintenance/replacement schedules, and self-healing applications in smart energy grids.

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