Modernized electrical grid automated to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity.
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Submitted by cmydlarz on Mon, 10/22/2018 - 11:55am
If you are a computer scientist/engineer with a keen interest in entrepreneurial opportunities and have solid academic or industry experience in machine learning and signal processing, you may be the ideal candidate for a unique startup-focused opportunity at NYU. We seek a candidate able to take a lead role in a new project being started at NYU's Music and Audio Research Lab (MARL) and funded by the National Science Foundation. The project involves developing and commercializing technology originating from MARL's research for monitoring the health of manufacturing machinery in real time.
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Submitted by Anonymous on Tue, 08/28/2018 - 10:01am
FINAL CALL FOR PAPERS: Extended submission deadline: 15 september 2018
13-15 Feb. 2019 | Melbourne, Australia | www.ieee-icit2019.org
Dear Colleague
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Submitted by Anonymous on Mon, 08/13/2018 - 12:49pm
20th IEEE International Conference on Industrial Technology (ICIT 2019)
The IEEE International Conference on Industrial Technology is one of the flagship conferences of the IEEE Industrial Electronics Society. This prestigious event is held every year in a different part of the world. The aim of this conference is to provide a forum for the presentation and discussion of emerging industrial technologies and for professional interactions. Additionally, it serves as a conduit for channelling advanced technology to the regional industry.
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Optimal Power Flow (OPF) is a crucial part of the Energy Management System (EMS) as it determines individual generator outputs that minimize generation cost while satisfying transmission, generation, and system-level operating constraints. OPF relies on a core EMS routine, namely state estimation, which computes system states, principally bus voltages/phase angles at the buses. However, state estimation is vulnerable to false data injection attacks in which an adversary can alter certain measurements to corrupt the estimator's solution without being detected.
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Submitted by Anonymous on Fri, 01/26/2018 - 11:43am
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This project is focused on the fundamental research in establishing a foundational framework towards the development of an autonomous Cyber-Physical System (CPS) through distributed computation in a Networked Control Systems (NCS) paradigm. Specific attention is focused on an application where the computational, and communication challenges are unique due to the sheer dimensionality of the physical system. An example of such CPS is the smart power grid, which includes large-scale deployment of distributed and networked Phasor Measurement Units (PMUs) and wind energy resources.
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Smart grid includes two interdependent infrastructures: power transmission and distribution network, and the supporting telecommunications network. Complex interactions among these infrastructures lead to new pathways for attack and failure propagation that are currently not well understood. This innovative project takes a holistic multilevel approach to understand and characterize the interdependencies between these two infrastructures, and devise mechanisms to enhance their robustness.
