What is he best known for?
The fields of study he is best known for:
- Statistics
- Electrical engineering
- Artificial intelligence
Mathematical optimization, Operations research, Electricity generation, Electricity and AC power are his primary areas of study.
His biological study spans a wide range of topics, including Total cost, Transformer and Benchmark.
In his work, Control theory and Current is strongly intertwined with Electronic engineering, which is a subfield of Electricity generation.
His research in Electricity intersects with topics in Microeconomics, Investment, Stand-alone power system and Environmental economics.
Furong Li focuses mostly in the field of AC power, narrowing it down to matters related to Risk analysis and, in some cases, Profit, Computer security, Critical infrastructure, Compensation and Reliability engineering.
His Wind power study combines topics in areas such as Renewable energy and Electric power system.
His most cited work include:
- Battling the Extreme: A Study on the Power System Resilience (180 citations)
- Active Demand Response Using Shared Energy Storage for Household Energy Management (175 citations)
- A voltage based protection for micro-grids containing power electronic converters (117 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Mathematical optimization, Electric power system, Renewable energy, Electricity and Environmental economics.
Furong Li combines subjects such as Transformer, AC power and Marginal cost with his study of Mathematical optimization.
His Marginal cost course of study focuses on Operations research and Microeconomics.
His Electric power system research focuses on Reliability engineering and how it relates to Electronic engineering.
His Renewable energy research incorporates themes from Electricity generation and Automotive engineering.
The various areas that Furong Li examines in his Environmental economics study include Energy management, Investment and Energy storage.
He most often published in these fields:
- Mathematical optimization (23.02%)
- Electric power system (19.62%)
- Renewable energy (15.85%)
What were the highlights of his more recent work (between 2018-2021)?
- Mathematical optimization (23.02%)
- Renewable energy (15.85%)
- Distributed generation (10.19%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Mathematical optimization, Renewable energy, Distributed generation, Econometrics and Environmental economics.
His Mathematical optimization research includes themes of Probabilistic logic, Energy and Investment.
His Renewable energy research incorporates elements of Distribution networks, Wind power, Settling time and Industrial organization.
His study in Environmental economics is interdisciplinary in nature, drawing from both Electricity market and Energy storage.
His Volatility study deals with Electricity intersecting with Marginal cost.
His Energy consumption study incorporates themes from Reliability engineering and Electric power system.
Between 2018 and 2021, his most popular works were:
- A Novel Peer-to-Peer Local Electricity Market for Joint Trading of Energy and Uncertainty (23 citations)
- Capacity Share Optimization for Multiservice Energy Storage Management Under Portfolio Theory (17 citations)
- Hybrid Ensemble Deep Learning for Deterministic and Probabilistic Low-Voltage Load Forecasting (15 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Statistics
- Artificial intelligence
Furong Li spends much of his time researching Mathematical optimization, Microgrid, Electric power system, Peer-to-peer and Robust optimization.
His Mathematical optimization and Genetic algorithm and Rectangle packing investigations all form part of his Mathematical optimization research activities.
In his study, which falls under the umbrella issue of Microgrid, Redundancy and Load loss is strongly linked to Distributed generation.
His studies in Electric power system integrate themes in fields like Energy consumption, Energy balancing, Reliability engineering and Flexibility.
The concepts of his Robust optimization study are interwoven with issues in Scheduling and Renewable energy.
His studies examine the connections between Energy storage and genetics, as well as such issues in Portfolio, with regards to Environmental economics.
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