What is he best known for?
The fields of study he is best known for:
- Statistics
- Control theory
- Electrical engineering
His primary areas of investigation include Control theory, Mathematical optimization, Efficient energy use, Optimal control and Nonlinear system.
His Control theory research is multidisciplinary, incorporating elements of Estimation theory and Model predictive control.
His biological study spans a wide range of topics, including Load shifting, Electricity, Economic dispatch and Algebraic number.
His Efficient energy use study incorporates themes from Energy consumption, Multi-objective optimization, Energy, Retrofitting and Operations research.
Xiaohua Xia interconnects Control system, Control, Cruise control and Electronic speed control in the investigation of issues within Optimal control.
The study incorporates disciplines such as Observability and Applied mathematics in addition to Nonlinear system.
His most cited work include:
- Nonlinear observer design by observer error linearization (360 citations)
- On Identifiability of Nonlinear ODE Models and Applications in Viral Dynamics (307 citations)
- Optimal dynamic economic dispatch of generation: A review (235 citations)
What are the main themes of his work throughout his whole career to date?
Xiaohua Xia focuses on Control theory, Efficient energy use, Nonlinear system, Model predictive control and Optimal control.
His Control theory study frequently links to adjacent areas such as Control engineering.
His Efficient energy use research focuses on Energy consumption and how it connects with Automotive engineering.
His Nonlinear system study combines topics in areas such as Consensus, Multi-agent system and Observability.
His work in Model predictive control tackles topics such as Mathematical optimization which are related to areas like Economic dispatch.
In his work, Photovoltaic system is strongly intertwined with Electricity, which is a subfield of Optimal control.
He most often published in these fields:
- Control theory (35.06%)
- Efficient energy use (20.98%)
- Nonlinear system (17.53%)
What were the highlights of his more recent work (between 2016-2021)?
- Efficient energy use (20.98%)
- Control theory (35.06%)
- Automotive engineering (13.22%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Efficient energy use, Control theory, Automotive engineering, Model predictive control and Energy consumption.
His work on Measurement and Verification as part of general Efficient energy use study is frequently linked to Demand side, bridging the gap between disciplines.
His Control theory research is multidisciplinary, incorporating perspectives in Multi-agent system and Air conditioning.
His Automotive engineering research is multidisciplinary, relying on both Electricity, Energy, Energy management, Compressed natural gas and Grid.
His research investigates the link between Energy management and topics such as Demand response that cross with problems in Operations research.
His Energy consumption research integrates issues from Control engineering, Optimization problem and Operating cost.
Between 2016 and 2021, his most popular works were:
- Optimal dispatch for a microgrid incorporating renewables and demand response (161 citations)
- A multi-objective optimization model for energy-efficiency building envelope retrofitting plan with rooftop PV system installation and maintenance (102 citations)
- Optimal control of a wind–PV-hybrid powered heat pump water heater (50 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Control theory
- Electrical engineering
His primary areas of investigation include Efficient energy use, Control theory, Photovoltaic system, Environmental economics and Automotive engineering.
His study looks at the relationship between Efficient energy use and fields such as Payback period, as well as how they intersect with chemical problems.
His Multi-agent system research extends to Control theory, which is thematically connected.
His work deals with themes such as Optimal control, Load shifting and Renewable energy, which intersect with Photovoltaic system.
His research in Automotive engineering intersects with topics in Energy consumption, Belt conveyor and Electricity, Demand response.
Xiaohua Xia has researched Demand response in several fields, including Distributed generation, Energy management and Operations research.
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