D-Index & Metrics Best Publications
Electronics and Electrical Engineering
Iran
2022

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 59 Citations 10,688 209 World Ranking 602 National Ranking 1

Research.com Recognitions

Awards & Achievements

2022 - Research.com Electronics and Electrical Engineering in Iran Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Mathematical optimization
  • Algorithm
  • Artificial intelligence

The scientist’s investigation covers issues in Mathematical optimization, Particle swarm optimization, Fuzzy logic, Electric power system and Control reconfiguration. Taher Niknam interconnects Wind power and Economic dispatch in the investigation of issues within Mathematical optimization. His work carried out in the field of Particle swarm optimization brings together such families of science as Genetic algorithm and Voltage.

He has included themes like Control engineering and Control theory in his Fuzzy logic study. The Control theory study combines topics in areas such as AC power and Premature convergence. His Electric power system research incorporates themes from Electricity and Bat algorithm.

His most cited work include:

  • Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel cell/battery hybrid power source (339 citations)
  • An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis (317 citations)
  • An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation (255 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Mathematical optimization, Control theory, Electric power system, Wind power and Particle swarm optimization. His Mathematical optimization research integrates issues from AC power and Control reconfiguration. His biological study spans a wide range of topics, including Fuzzy logic and Voltage.

His Wind power research includes elements of Probabilistic logic, Automotive engineering, Stochastic optimization, Electricity generation and Renewable energy. His work is dedicated to discovering how Particle swarm optimization, Genetic algorithm are connected with Tabu search and other disciplines. His Evolutionary algorithm research includes themes of Multi-objective optimization and Algorithm.

He most often published in these fields:

  • Mathematical optimization (55.14%)
  • Control theory (24.30%)
  • Electric power system (20.25%)

What were the highlights of his more recent work (between 2017-2021)?

  • Mathematical optimization (55.14%)
  • Wind power (17.76%)
  • Renewable energy (13.08%)

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

Mathematical optimization, Wind power, Renewable energy, Control theory and Microgrid are his primary areas of study. His Mathematical optimization study integrates concerns from other disciplines, such as Convergence, Distributed generation and AC power. The various areas that Taher Niknam examines in his Wind power study include Distributed computing, Electric power system, Probabilistic logic, Automotive engineering and Electricity generation.

His research investigates the connection with Renewable energy and areas like Control engineering which intersect with concerns in Operating cost. His research investigates the connection between Control theory and topics such as Fuzzy logic that intersect with issues in Robustness. Taher Niknam has included themes like Energy management, Premature convergence, Photovoltaic system, Efficient energy use and Upstream in his Microgrid study.

Between 2017 and 2021, his most popular works were:

  • Load Frequency Control in Microgrids Based on a Stochastic Noninteger Controller (73 citations)
  • Probabilistic Load Forecasting Using an Improved Wavelet Neural Network Trained by Generalized Extreme Learning Machine (68 citations)
  • Robust linear architecture for active/reactive power scheduling of EV integrated smart distribution networks (47 citations)

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

  • Mathematical optimization
  • Algorithm
  • Artificial intelligence

Taher Niknam mainly focuses on Mathematical optimization, Electric power system, Renewable energy, Wind power and AC power. His studies in Mathematical optimization integrate themes in fields like Convergence and Demand response. He studied Electric power system and Stochastic optimization that intersect with Power system simulation.

His Renewable energy study incorporates themes from Optimization methods, Energy storage, Optimization problem, Robustness and Power flow. His Wind power research incorporates elements of Scheduling, Electric vehicle, Energy supply and Control reconfiguration. His AC power research incorporates themes from Control theory and Integer programming.

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

An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis

Taher Niknam;Babak Amiri.
soft computing (2010)

473 Citations

Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel cell/battery hybrid power source

Amjad Anvari Moghaddam;Alireza Seifi;Taher Niknam;Mohammad Reza Alizadeh Pahlavani.
Energy (2011)

458 Citations

An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation

Taher Niknam;Rasoul Azizipanah-Abarghooee;Mohammad Rasoul Narimani.
Applied Energy (2012)

325 Citations

A new fuzzy adaptive hybrid particle swarm optimization algorithm for non-linear, non-smooth and non-convex economic dispatch problem

Taher Niknam.
Applied Energy (2010)

284 Citations

A modified shuffle frog leaping algorithm for multi-objective optimal power flow

Taher Niknam;Mohammad rasoul Narimani;Masoud Jabbari;Ahmad Reza Malekpour.
Energy (2011)

271 Citations

Probabilistic energy and operation management of a microgrid containing wind/ photovoltaic/fuel cell generation and energy storage devices based on point estimate method and self-adaptive gravitational search algorithm

Taher Niknam;Faranak Golestaneh;Ahmadreza Malekpour;Ahmadreza Malekpour.
Energy (2012)

263 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

An efficient hybrid algorithm based on modified imperialist competitive algorithm and K-means for data clustering

Taher Niknam;Elahe Taherian Fard;Narges Pourjafarian;Alireza Rousta.
Engineering Applications of Artificial Intelligence (2011)

246 Citations

Impact of distributed generation on volt/Var control in distribution networks

T. Niknam;A.M. Ranjbar;A.R. Shirani.
ieee powertech conference (2003)

217 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

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