What is he best known for?
The fields of study he is best known for:
- Statistics
- Electrical engineering
- Artificial intelligence
Fushuan Wen mostly deals with Electric power system, Electricity market, Mathematical optimization, Bidding and Genetic algorithm.
His Electric power system research is multidisciplinary, incorporating perspectives in Electrical network, Reliability engineering, Topology, Smart grid and Fault.
His research in Electricity market intersects with topics in Electric power industry, Transmission, Microeconomics, Industrial organization and Oligopoly.
Fushuan Wen has included themes like Electric vehicle, Wind power and AC power in his Mathematical optimization study.
His Electric vehicle research includes themes of Traffic flow, Automotive engineering and Minification.
His studies deal with areas such as Energy supply, Market price and Operations research as well as Bidding.
His most cited work include:
- Optimal Planning of Electric-Vehicle Charging Stations in Distribution Systems (350 citations)
- Optimal Siting and Sizing of Distributed Generators in Distribution Systems Considering Uncertainties (299 citations)
- Strategic bidding in competitive electricity markets: a literature survey (292 citations)
What are the main themes of his work throughout his whole career to date?
Fushuan Wen focuses on Electric power system, Electricity market, Mathematical optimization, Electricity and Reliability engineering.
His work carried out in the field of Electric power system brings together such families of science as Wind power, Control theory, Automotive engineering, Fault and Renewable energy.
His research integrates issues of Protective relay, Circuit breaker and Algorithm in his study of Fault.
His Electricity market research incorporates themes from Bidding, Microeconomics, Environmental economics, Industrial organization and Operations research.
His study in Mathematical optimization is interdisciplinary in nature, drawing from both Sample and AC power.
Fushuan Wen has researched Electricity in several fields, including Electricity generation and Natural gas.
He most often published in these fields:
- Electric power system (46.38%)
- Electricity market (24.27%)
- Mathematical optimization (20.55%)
What were the highlights of his more recent work (between 2018-2021)?
- Electric power system (46.38%)
- Mathematical optimization (20.55%)
- Electricity (18.79%)
In recent papers he was focusing on the following fields of study:
Fushuan Wen spends much of his time researching Electric power system, Mathematical optimization, Electricity, Renewable energy and Energy.
His Electric power system study combines topics in areas such as Wind power, Control theory, Electric vehicle, Reliability engineering and Automotive engineering.
His Mathematical optimization research incorporates elements of Load profile, Energy management and Resilience.
His research in Electricity is mostly focused on Electricity market.
His studies examine the connections between Electricity market and genetics, as well as such issues in CVAR, with regards to Production.
His research in Renewable energy focuses on subjects like Environmental economics, which are connected to Energy storage and Photovoltaic system.
Between 2018 and 2021, his most popular works were:
- A Model of Customizing Electricity Retail Prices Based on Load Profile Clustering Analysis (33 citations)
- Intraday Residential Demand Response Scheme Based on Peer-to-Peer Energy Trading (24 citations)
- Privacy-Preserving Optimal Dispatch for an Integrated Power Distribution and Natural Gas System in Networked Energy Hubs (19 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Electrical engineering
- Mathematical optimization
Fushuan Wen mainly focuses on Electricity, Mathematical optimization, Electric power system, Renewable energy and Demand response.
Fushuan Wen interconnects Production, Independence, Smart grid, Solar energy and CVAR in the investigation of issues within Electricity.
His work deals with themes such as Distributed generation, Energy, Energy management and Load profile, which intersect with Mathematical optimization.
The concepts of his Electric power system study are interwoven with issues in Wind power, Iterative method and Control theory.
His Renewable energy research includes elements of Bidding, Environmental economics, Marginal cost and Market mechanism.
His Environmental economics study frequently draws connections between adjacent fields such as Electricity market.
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