What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Control theory
- Voltage
Rahmat-Allah Hooshmand focuses on Electric power system, Particle swarm optimization, Mathematical optimization, Electricity market and Control engineering.
He focuses mostly in the field of Electric power system, narrowing it down to matters related to Control theory and, in some cases, Integer programming and Redundancy.
His Particle swarm optimization research includes elements of Wavelet transform, Electrical load and White noise.
His Mathematical optimization research integrates issues from Simulation, Reduction and Fuzzy logic.
He interconnects Reserve margin and Operations research in the investigation of issues within Electricity market.
His Control engineering study incorporates themes from Electricity generation, Reliability engineering and Algorithm design.
His most cited work include:
- A comprehensive review on microgrid and virtual power plant concepts employed for distributed energy resources scheduling in power systems (189 citations)
- Comprehensive review of generation and transmission expansion planning (179 citations)
- Short term electric load forecasting by wavelet transform and grey model improved by PSO (particle swarm optimization) algorithm (143 citations)
What are the main themes of his work throughout his whole career to date?
Rahmat-Allah Hooshmand mostly deals with Control theory, Electric power system, Mathematical optimization, Control engineering and Voltage.
His biological study spans a wide range of topics, including Electronic engineering and Microgrid.
His research in Electric power system intersects with topics in Electricity generation and AC power.
In his study, Control reconfiguration is strongly linked to Fuzzy logic, which falls under the umbrella field of Mathematical optimization.
As part of one scientific family, he deals mainly with the area of Control engineering, narrowing it down to issues related to the Artificial neural network, and often Adaptive neuro fuzzy inference system.
His studies in Particle swarm optimization integrate themes in fields like Probability density function, Simulation and Minification.
He most often published in these fields:
- Control theory (33.77%)
- Electric power system (31.79%)
- Mathematical optimization (26.49%)
What were the highlights of his more recent work (between 2018-2021)?
- Mathematical optimization (26.49%)
- Renewable energy (10.60%)
- Microgrid (10.60%)
In recent papers he was focusing on the following fields of study:
His main research concerns Mathematical optimization, Renewable energy, Microgrid, Demand response and Electric power system.
His studies deal with areas such as Distribution networks, Blackout and Energy as well as Mathematical optimization.
His Renewable energy research is multidisciplinary, incorporating elements of Stochastic programming, Reliability engineering, Electrical load and Energy storage.
His research integrates issues of Electricity generation, Load shifting and Energy management system in his study of Microgrid.
His research in Electricity generation focuses on subjects like Power flow, which are connected to Control theory.
In his articles, he combines various disciplines, including Electric power system and Transfer.
Between 2018 and 2021, his most popular works were:
- A comprehensive stochastic energy management system of micro-CHP units, renewable energy sources and storage systems in microgrids considering demand response programs (29 citations)
- Stochastic programming-based optimal bidding of compressed air energy storage with wind and thermal generation units in energy and reserve markets (26 citations)
- An efficient scenario-based stochastic programming method for optimal scheduling of CHP-PEMFC, WT, PV and hydrogen storage units in micro grids (24 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Voltage
- Control theory
His primary scientific interests are in Renewable energy, Mathematical optimization, Stochastic programming, Reliability engineering and Control.
Rahmat-Allah Hooshmand combines subjects such as Stochastic modelling and Photovoltaic system with his study of Renewable energy.
His Mathematical optimization study frequently draws connections between adjacent fields such as Electric power system.
His work deals with themes such as Scheduling, Energy and Compressed air energy storage, which intersect with Electric power system.
His work in Reliability engineering addresses issues such as Load shifting, which are connected to fields such as Demand response.
The various areas that he examines in his Control study include Total harmonic distortion and Harmonic.
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.
