What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Electrical engineering
His primary scientific interests are in Electric power system, Wind power, Economic dispatch, Control engineering and Electricity.
His Electric power system study integrates concerns from other disciplines, such as Distributed computing, Reliability engineering, Real-time computing, Simulation and Photovoltaic system.
His research integrates issues of Robustness, Model predictive control, Renewable energy and Energy storage in his study of Wind power.
His work deals with themes such as Economic impact analysis, Distributed generation, Arbitrage and Mathematical optimization, which intersect with Economic dispatch.
His Control engineering research includes themes of Stability criterion, Power system simulation, Information exchange, Microgrid and Supervisory control.
His work carried out in the field of Electricity brings together such families of science as Computer security, Quality of service and Environmental economics.
His most cited work include:
- Minimizing Electricity Cost: Optimization of Distributed Internet Data Centers in a Multi-Electricity-Market Environment (458 citations)
- Integrity Data Attacks in Power Market Operations (327 citations)
- Wind Integration in Power Systems: Operational Challenges and Possible Solutions (299 citations)
What are the main themes of his work throughout his whole career to date?
Le Xie spends much of his time researching Electric power system, Mathematical optimization, Electricity, Economic dispatch and Demand response.
His Electric power system research incorporates themes from Control engineering, Wind power, Reliability engineering and Renewable energy.
His study in Wind power is interdisciplinary in nature, drawing from both Simulation and Model predictive control.
His Mathematical optimization research includes elements of Bidding, Probabilistic logic and Network topology.
His work on Electricity market as part of general Electricity study is frequently linked to Consumption, bridging the gap between disciplines.
The study incorporates disciplines such as Operations research and Look-ahead in addition to Economic dispatch.
He most often published in these fields:
- Electric power system (40.41%)
- Mathematical optimization (24.08%)
- Electricity (19.18%)
What were the highlights of his more recent work (between 2019-2021)?
- Electricity (19.18%)
- Electric power system (40.41%)
- Microgrid (5.31%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Electricity, Electric power system, Microgrid, Distributed generation and Environmental economics.
His Electricity research focuses on Electricity generation and how it connects with Electric power demand and Electricity market.
He has included themes like Data-driven, Cyber-physical system, Mathematical optimization and Renewable energy in his Electric power system study.
His Renewable energy research integrates issues from Computer security, Smart grid and Systems engineering.
His Distributed generation research is multidisciplinary, incorporating perspectives in Electrification, Economic dispatch and Energy storage.
His studies deal with areas such as Coupon, Incentive and Lottery as well as Environmental economics.
Between 2019 and 2021, his most popular works were:
- Implications of COVID-19 for the Electricity Industry: A Comprehensive Review (28 citations)
- A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the US Electricity Sector. (25 citations)
- Prediction and assessment of demand response potential with coupon incentives in highly renewable power systems (11 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Electrical engineering
Le Xie mainly focuses on Electricity, Electric power system, Renewable energy, Microgrid and Reliability engineering.
Many of his research projects under Electricity are closely connected to Consumption with Consumption, tying the diverse disciplines of science together.
His Electric power system research is multidisciplinary, relying on both Systems engineering, Power electronics, Smart grid and Cyber-physical system.
His Renewable energy research incorporates elements of Computer security and Testbed.
His Microgrid research is multidisciplinary, incorporating elements of Phasor, Voltage droop, Transient and Reliability.
His Reliability engineering study combines topics in areas such as Composite power systems and Universal generating function.
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