D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 37 Citations 5,289 154 World Ranking 2136 National Ranking 19

Overview

What is he best known for?

The fields of study he is best known for:

  • Mathematical optimization
  • Electrical engineering
  • Algorithm

His primary scientific interests are in Mathematical optimization, Electric power system, AC power, Wind power and Particle swarm optimization. Jamshid Aghaei has researched Mathematical optimization in several fields, including Electricity generation, Probabilistic logic, Power system simulation and Renewable energy. The concepts of his Renewable energy study are interwoven with issues in Pareto principle, Electricity and Electric power.

His work deals with themes such as Stochastic programming, Optimization problem, Demand response and Distributed generation, which intersect with Electric power system. His biological study spans a wide range of topics, including Load management and Operations research. His Wind power course of study focuses on Base load power plant and Dynamic demand, Peak demand, Environmental economics, Profit and Hybrid power.

His most cited work include:

  • Demand response in smart electricity grids equipped with renewable energy sources: A review (443 citations)
  • Improved particle swarm optimisation for multi-objective optimal power flow considering the cost, loss, emission and voltage stability index (189 citations)
  • Stochastic Multiobjective Market Clearing of Joint Energy and Reserves Auctions Ensuring Power System Security (167 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, AC power, Wind power and Control theory. Mathematical optimization is represented through his Linear programming, Integer programming, Particle swarm optimization, Optimization problem and Stochastic programming research. Jamshid Aghaei interconnects Automotive engineering, Reliability engineering, Demand response and Renewable energy in the investigation of issues within Electric power system.

As part of one scientific family, he deals mainly with the area of Demand response, narrowing it down to issues related to the Smart grid, and often Electric vehicle. His study in AC power is interdisciplinary in nature, drawing from both Control engineering, Distributed generation, Stochastic optimization and Market clearing. His research integrates issues of Electricity generation, Probabilistic logic, Hybrid power and Energy storage in his study of Wind power.

He most often published in these fields:

  • Mathematical optimization (52.70%)
  • Electric power system (39.42%)
  • AC power (24.07%)

What were the highlights of his more recent work (between 2019-2021)?

  • Mathematical optimization (52.70%)
  • Wind power (22.82%)
  • AC power (24.07%)

In recent papers he was focusing on the following fields of study:

Jamshid Aghaei mainly focuses on Mathematical optimization, Wind power, AC power, Electric power system and Robust optimization. Jamshid Aghaei works mostly in the field of Mathematical optimization, limiting it down to topics relating to Distribution networks and, in certain cases, Global optimal. His research investigates the connection between Wind power and topics such as Bidding that intersect with issues in Demand response, Electricity market and Hybrid power.

His research investigates the link between AC power and topics such as Integer programming that cross with problems in Distributed generation. His Electric power system research is multidisciplinary, incorporating perspectives in Automotive engineering, Reliability engineering and Renewable energy. His Renewable energy study combines topics in areas such as Wavelet transform, Energy management and Energy storage.

Between 2019 and 2021, his most popular works were:

  • Robust planning of distributed battery energy storage systems in flexible smart distribution networks: A comprehensive study (16 citations)
  • Robust planning of distributed battery energy storage systems in flexible smart distribution networks: A comprehensive study (16 citations)
  • A scenario-based approach for the design of Smart Energy and Water Hub (15 citations)

In his most recent research, the most cited papers focused on:

  • Mathematical optimization
  • Electrical engineering
  • Algorithm

Jamshid Aghaei spends much of his time researching Mathematical optimization, Wind power, Linear programming, AC power and Variable renewable energy. Jamshid Aghaei integrates many fields in his works, including Mathematical optimization and Geographic information system. His Wind power research is multidisciplinary, incorporating elements of Stochastic programming, Renewable generation, Electricity and Bidding.

The Demand response research he does as part of his general Electricity study is frequently linked to other disciplines of science, such as News aggregator, therefore creating a link between diverse domains of science. His AC power research is within the category of Voltage. His studies deal with areas such as Robust optimization, Linearization and Benchmark as well as Variable renewable energy.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Demand response in smart electricity grids equipped with renewable energy sources: A review

Jamshid Aghaei;Mohammad-Iman Alizadeh.
Renewable & Sustainable Energy Reviews (2013)

675 Citations

Improved particle swarm optimisation for multi-objective optimal power flow considering the cost, loss, emission and voltage stability index

T. Niknam;M.R. Narimani;J. Aghaei;R. Azizipanah-Abarghooee.
Iet Generation Transmission & Distribution (2012)

257 Citations

Scenario-Based Multiobjective Volt/Var Control in Distribution Networks Including Renewable Energy Sources

T. Niknam;M. Zare;J. Aghaei.
IEEE Transactions on Power Delivery (2012)

209 Citations

Multi-objective self-scheduling of CHP (combined heat and power)-based microgrids considering demand response programs and ESSs (energy storage systems)

Jamshid Aghaei;Mohammad-Iman Alizadeh.
Energy (2013)

198 Citations

Stochastic Multiobjective Market Clearing of Joint Energy and Reserves Auctions Ensuring Power System Security

N. Amjady;J. Aghaei;H.A. Shayanfar.
IEEE Transactions on Power Systems (2009)

194 Citations

A modified honey bee mating optimization algorithm for multiobjective placement of renewable energy resources

Taher Niknam;Seyed Iman Taheri;Jamshid Aghaei;Sajad Tabatabaei.
Applied Energy (2011)

179 Citations

Scenario-based dynamic economic emission dispatch considering load and wind power uncertainties

Jamshid Aghaei;Taher Niknam;Rasoul Azizipanah-Abarghooee;José M. Arroyo.
International Journal of Electrical Power & Energy Systems (2013)

175 Citations

A new modified teaching-learning algorithm for reserve constrained dynamic economic dispatch

Taher Niknam;Rasoul Azizipanah-Abarghooee;Jamshid Aghaei.
IEEE Transactions on Power Systems (2013)

172 Citations

Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents

M. Shafie-khah;E. Heydarian-Forushani;G.J. Osorio;F.A.S. Gil.
IEEE Transactions on Smart Grid (2016)

170 Citations

Generation and Transmission Expansion Planning: MILP–Based Probabilistic Model

Jamshid Aghaei;Nima Amjady;Amir Baharvandi;Mohammad-Amin Akbari.
IEEE Transactions on Power Systems (2014)

156 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Jamshid Aghaei

Joao P. S. Catalao

Joao P. S. Catalao

University of Porto

Publications: 144

Miadreza Shafie-khah

Miadreza Shafie-khah

University of Vaasa

Publications: 88

Behnam Mohammadi-Ivatloo

Behnam Mohammadi-Ivatloo

University of Tabriz

Publications: 59

Taher Niknam

Taher Niknam

Shiraz University of Technology

Publications: 50

Pierluigi Siano

Pierluigi Siano

University of Salerno

Publications: 42

Kazem Zare

Kazem Zare

University of Tabriz

Publications: 31

Abdollah Kavousi-Fard

Abdollah Kavousi-Fard

Shiraz University of Technology

Publications: 27

Nima Amjady

Nima Amjady

Semnan University

Publications: 25

Sayyad Nojavan

Sayyad Nojavan

University of Bonab

Publications: 20

Zita Vale

Zita Vale

Polytechnic Institute of Porto

Publications: 20

Amjad Anvari-Moghaddam

Amjad Anvari-Moghaddam

Aalborg University

Publications: 19

Jiangfeng Zhang

Jiangfeng Zhang

Clemson University

Publications: 18

Josep M. Guerrero

Josep M. Guerrero

Aalborg University

Publications: 17

Shahram Jadid

Shahram Jadid

Iran University of Science and Technology

Publications: 15

Ozan Erdinc

Ozan Erdinc

Yıldız Technical University

Publications: 15

Zhao Yang Dong

Zhao Yang Dong

UNSW Sydney

Publications: 15

Trending Scientists

Victor Mizrahi

Victor Mizrahi

Nokia (United States)

Neil G. R. Broderick

Neil G. R. Broderick

University of Southampton

John G. Verkade

John G. Verkade

Iowa State University

Walther Burchard

Walther Burchard

University of Freiburg

Margaret M. Barbour

Margaret M. Barbour

University of Sydney

Sergio Crovella

Sergio Crovella

University of Trieste

Jacob P. Thyssen

Jacob P. Thyssen

University of Copenhagen

John V. Williams

John V. Williams

University of Pittsburgh

Richard E. Carbone

Richard E. Carbone

National Center for Atmospheric Research

J. A. Neuman

J. A. Neuman

National Oceanic and Atmospheric Administration

Joseph LeSauter

Joseph LeSauter

Barnard College

Louis-Eric Trudeau

Louis-Eric Trudeau

University of Montreal

Ningshao Xia

Ningshao Xia

Xiamen University

Margaret E. Ensminger

Margaret E. Ensminger

Johns Hopkins University

Walter O. Bockting

Walter O. Bockting

Columbia University

Hans W. Hoek

Hans W. Hoek

Columbia University

Something went wrong. Please try again later.