Smart Grid

Modernized electrical grid automated to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity.

Visible to the public  BuildSys 2014
Nov 04, 2014 12:00 am - Nov 07, 2014 1:00 am EST

1st ACM International Conference on Embedded Systems for Energy-Efficient Buildings

co-located with ACM SenSys 2014


Visible to the public Impact of Stealthy Attacks on Optimal Power Flow: A Simulink-Driven Formal Analysis

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.


Visible to the public Safety Analysis of AMI Networks through Smart Fraud Detection

Advanced metering infrastructure (AMI) is a critical part of a modern smart grid that performs the bidirectional data flow of sensitive power information such as smart metering data and control commands. The real-time monitoring and control of the grid are ensured through AMI. While smart meter data helps to improve the overall performance of the grid in terms of efficient energy management, it has also made the AMI an attractive target of cyberattackers with a goal of stealing energy.


Visible to the public Security Design against Stealthy Attacks on Power System State Estimation: A Formal Approach

State estimation is very important for securely, reliably, and efficiently maintaining a power grid. If state estimation is not protected, an attacker can compromise meters or communication systems and introduce false measurements, which can evade existing Bad Data Detection (BDD) algorithms and lead to incorrect state estimation. This kind of attack is stealthy and widely known as an Undetected False Data Injection (UFDI) attack.


Visible to the public  SEIT 2019
Aug 19, 2019 7:00 am - Aug 21, 2019 6:00 pm EDT

The 9th International Conference on Sustainable Energy Information Technology

The 9th International Conference on Sustainable Energy Information Technology (SEIT-2019) aims to bring together academia, industry, research scholars, business entrepreneurs, practitioners, managers, and policy makers responsible in delivering advanced sustainable energy solutions for competitive advantage and cost savings in modern industrial and business sectors.


Visible to the public OPEN POSITION: Machine Learning Scientist for Audio Based New York University Startup - NSF funded

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.