What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Statistics
- Artificial intelligence
His primary scientific interests are in Building management system, Energy, Fault detection and isolation, Control theory and Embedded system.
His Building management system research integrates issues from Fault, Reliability engineering and Data mining.
His Energy study frequently draws connections to adjacent fields such as Control.
Kirk H. Drees interconnects Grid energy storage, Interface, Layer and Computer hardware in the investigation of issues within Fault detection and isolation.
His research investigates the connection with Control theory and areas like Environmental control system which intersect with concerns in Data structure, Energy storage, Control theory and Optimal control.
Kirk H. Drees studied Embedded system and Building automation that intersect with Real-time computing and PID controller.
His most cited work include:
- Smart building manager (408 citations)
- Automated fault detection and diagnostics in a building management system (317 citations)
- Systems and methods for detecting changes in energy usage in a building (163 citations)
What are the main themes of his work throughout his whole career to date?
Kirk H. Drees mainly focuses on Control theory, Control theory, Energy, HVAC and Battery.
Control theory is a subfield of Control engineering that Kirk H. Drees tackles.
His study in Control theory is interdisciplinary in nature, drawing from both Variable and Volumetric flow rate.
His Energy study combines topics from a wide range of disciplines, such as Mathematical optimization, Building management system, Set and Constraint.
His studies in Building management system integrate themes in fields like Reliability engineering, Data mining and Fault detection and isolation.
His Fault detection and isolation study combines topics in areas such as Building automation and Real-time computing.
He most often published in these fields:
- Control theory (30.10%)
- Control theory (29.13%)
- Energy (24.27%)
What were the highlights of his more recent work (between 2018-2021)?
- HVAC (17.48%)
- Control theory (30.10%)
- Control theory (29.13%)
In recent papers he was focusing on the following fields of study:
His main research concerns HVAC, Control theory, Control theory, Mathematical optimization and Volumetric flow rate.
His Control theory study incorporates themes from Stability, Signal and Linear system.
His study focuses on the intersection of Control system and fields such as Battery with connections in the field of Reliability engineering, Clipping and Electric power.
In his works, Kirk H. Drees conducts interdisciplinary research on Energy and Thermal energy storage.
As a part of the same scientific study, Kirk H. Drees usually deals with the Control engineering, concentrating on Measure and frequently concerns with Process, Filter and Building management system.
His Building management system research integrates issues from Generator, Data mining, Detector, Interface and Fault.
Between 2018 and 2021, his most popular works were:
- Benchmarking stochastic and deterministic MPC: A case study in stationary battery systems (11 citations)
- Stochastic model predictive control for central HVAC plants (8 citations)
- Hierarchical MPC Schemes for Periodic Systems using Stochastic Programming (5 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Statistics
- Artificial intelligence
The scientist’s investigation covers issues in Peak demand, HVAC, Control theory, Mathematical optimization and Control theory.
His HVAC investigation overlaps with Setpoint, Automotive engineering, Function, Thermostat and Air temperature.
Borrowing concepts from Training period, he weaves in ideas under Control theory.
His work deals with themes such as Stability, Building energy, Purchasing and Linear system, which intersect with Mathematical optimization.
His Control theory research is multidisciplinary, relying on both Energy, Signal, Constraint and Benchmark.
Energy resources combines with fields such as Optimal allocation, Load balancing, Control, Charge and Stochastic model predictive control in his research.
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