What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Electrical engineering
- Statistics
The scientist’s investigation covers issues in HVAC, Control theory, Demand response, Control theory and Air conditioning.
The HVAC study combines topics in areas such as Building management system, Service and System identification.
His Control theory research includes elements of Model predictive control and Double integrator.
His Demand response study integrates concerns from other disciplines, such as Architectural engineering and Renewable energy.
Prabir Barooah works mostly in the field of Control theory, limiting it down to topics relating to Stability and, in certain cases, Automatic control and Vehicle dynamics.
His Air conditioning research is multidisciplinary, relying on both Electrical engineering and Feed forward.
His most cited work include:
- DistressNet: a wireless ad hoc and sensor network architecture for situation management in disaster response (219 citations)
- Mistuning-Based Control Design to Improve Closed-Loop Stability Margin of Vehicular Platoons (208 citations)
- Ancillary Service to the Grid Through Control of Fans in Commercial Building HVAC Systems (191 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Control theory, HVAC, Control theory, Distributed algorithm and Mathematical optimization.
In the field of Control theory, his study on Optimal control overlaps with subjects such as Mistuning.
His HVAC study combines topics in areas such as Simulation, Building model, Ventilation and Energy.
His biological study spans a wide range of topics, including Control system, Optimization problem, Key and Model predictive control.
His studies deal with areas such as Wireless sensor network, Synchronization, Artificial intelligence, Node and Algorithm as well as Distributed algorithm.
His Stability research is multidisciplinary, incorporating perspectives in Double integrator and Automatic control.
He most often published in these fields:
- Control theory (27.16%)
- HVAC (20.99%)
- Control theory (16.05%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (16.05%)
- HVAC (20.99%)
- Model predictive control (11.11%)
In recent papers he was focusing on the following fields of study:
Prabir Barooah mostly deals with Control theory, HVAC, Model predictive control, Quality of service and Reliability engineering.
His Control theory study incorporates themes from Optimization problem and Efficient energy use.
His work deals with themes such as Control engineering, Energy, Building model and Control theory, which intersect with HVAC.
His study explores the link between Control theory and topics such as Identification that cross with problems in Aggregate.
His Quality of service research is multidisciplinary, incorporating elements of Resource allocation, Distributed computing, Mathematical optimization, Constraint and Resource.
His study in Reliability engineering is interdisciplinary in nature, drawing from both Control system, Electric power system, Battery, Photovoltaic system and Flexibility.
Between 2018 and 2021, his most popular works were:
- Impact of the COVID-19 Pandemic on the U.S. Electricity Demand and Supply: An Early View from Data (11 citations)
- On the Round-Trip Efficiency of an HVAC-Based Virtual Battery (9 citations)
- Aggregate capacity of TCLs with cycling constraints. (6 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Electrical engineering
Prabir Barooah focuses on HVAC, Work, Flexibility, Control theory and Model predictive control.
Prabir Barooah has researched HVAC in several fields, including Control engineering, Control, Simulation and Reinforcement learning.
His research investigates the connection between Work and topics such as Energy that intersect with issues in Constraint, Air conditioning, Optimization problem, Service and Battery.
His Flexibility research focuses on Reliability engineering and how it connects with Key, Resource, Resource allocation and Quality of service.
His work carried out in the field of Control theory brings together such families of science as Identification, Data-driven, Aggregate, Heuristic and Testbed.
His studies in Model predictive control integrate themes in fields like Control theory, Efficient energy use and Electromagnetic coil.
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