E-COMP Team
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Timothy I. Salsbury Timothy Salsbury is the E-COMP initiative lead. He is a controls scientist in the Optimization and Control Group where he leads the Control Design Team as well as several projects for the Department of Energy (DOE) and Department of Defense (DoD) covering topics such as control performance monitoring, real-time optimization, energy and indoor air quality (IAQ) optimization. Salsbury has significant industry experience and has obtained more than 50 patents. He has also published extensively in the areas of applied controls, fault detection, real-time optimization, economic MPC, energy systems in buildings, and process control. |
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Veronica Adetola Veronica Adetola is a controls scientist in the Optimization and Controls Group and leads the Resilient Control Methods Team. She serves as the chief scientist for the E-COMP initiative. Adetola has 12 years of experience in industry R&D and currently leads several projects for DOE in data-driven reliability modeling, control co-design, and advanced control methods to improve cyber physical system’s efficiency, reliability, and resiliency |
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Marcelo Elizondo Marcelo Elizondo is leading the Theory and Modeling Thrust within E-COMP. Elizondo is a staff power system research engineer in the Electricity Infrastructure and Buildings division. His research includes bulk electric systems planning and resilience to electromagnetic and electromechanical dynamics in distribution systems and microgrids. He leads a portfolio of projects for DOE and the Department of State (DoS). |
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Thiagarajan Ramachandran Thiagarajan joined PNNL on Aug 2016 as a postdoctoral research associate and has been working on various DOE projects in various areas such as adaptive control/optimization of building power consumption, distribution system state estimation, and electricity market design. |
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Sarah Newman Dr. Newman is a data scientist in the buildings and connected systems group. She works on applying data analysis and machine learning techniques to improving the energy efficiency and resiliency of buildings. Her projects include developing a web app to quantify the impacts of efficiency and generation projects on the electricity grid, creating tools to design microgrids for resiliency, deployment of machine learning techniques on real-time building systems data to improve efficiency and operations, and analysis of fault prevalence in commercial buildings. |
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