What is he best known for?
The fields of study he is best known for:
- Statistics
- Sustainability
- Electrical engineering
The scientist’s investigation covers issues in Energy, Data envelopment analysis, Econometrics, Technology gap and Index.
His work carried out in the field of Energy brings together such families of science as Linear programming, Efficient energy use, Demand response and Energy storage.
His research on Linear programming also deals with topics like
- Renewable energy which connect with Mathematical optimization,
- Benchmark together with Probabilistic logic.
His study in Efficient energy use is interdisciplinary in nature, drawing from both Environmental technology and Measure.
His work deals with themes such as Technological change, Malmquist index, Performance index, Economy and Operations research, which intersect with Index.
His Fossil fuel research is multidisciplinary, incorporating perspectives in Electricity generation and Environmental economics.
His most cited work include:
- Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure (348 citations)
- Environmental efficiency analysis of transportation system in China:A non-radial DEA approach (245 citations)
- Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis (224 citations)
What are the main themes of his work throughout his whole career to date?
Ning Zhang mainly focuses on Electric power system, Air shower, Renewable energy, Astrophysics and Mathematical optimization.
Ning Zhang has researched Electric power system in several fields, including Wind power, Reliability engineering, Electricity and Control theory.
His research in Air shower focuses on subjects like Gamma ray, which are connected to Sky.
In his study, which falls under the umbrella issue of Renewable energy, Linear programming is strongly linked to Energy.
His studies examine the connections between Astrophysics and genetics, as well as such issues in Anisotropy, with regards to Sidereal time.
His Mathematical optimization study which covers Probabilistic logic that intersects with Quantile.
He most often published in these fields:
- Electric power system (22.05%)
- Air shower (16.67%)
- Renewable energy (13.85%)
What were the highlights of his more recent work (between 2019-2021)?
- Electric power system (22.05%)
- Renewable energy (13.85%)
- Mathematical optimization (12.82%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Electric power system, Renewable energy, Mathematical optimization, Greenhouse gas and Energy storage.
His Electric power system study combines topics in areas such as Wind power, Cluster analysis and Control theory.
His study on Renewable energy also encompasses disciplines like
- Environmental economics that intertwine with fields like Solar power,
- Electricity that intertwine with fields like Network model and Electricity generation.
His work in Mathematical optimization covers topics such as Quantile which are related to areas like Probabilistic logic, Quantile regression and Gradient boosting.
Ning Zhang interconnects Life-cycle assessment, Natural resource economics and Empirical research in the investigation of issues within Greenhouse gas.
His research investigates the connection between Energy storage and topics such as Reliability engineering that intersect with problems in Battery, Flexibility and Energy.
Between 2019 and 2021, his most popular works were:
- Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic. (78 citations)
- Impact of High Renewable Penetration on the Power System Operation Mode: A Data-Driven Approach (19 citations)
- Planning multiple energy systems for low-carbon districts with high penetration of renewable energy: An empirical study in China (16 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Sustainability
His primary areas of study are Renewable energy, Electric power system, Mathematical optimization, Control theory and Greenhouse gas.
His Renewable energy study combines topics from a wide range of disciplines, such as Wind power, Penetration, Cluster analysis and Investment decisions.
His work in Wind power tackles topics such as Benchmark which are related to areas like Network topology.
Ning Zhang works in the field of Electric power system, focusing on Variable renewable energy in particular.
His Mathematical optimization research includes themes of Incentive, Probabilistic logic, Quantile and Forms of energy.
His research in Greenhouse gas intersects with topics in Leverage, Empirical research and Electricity market.
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