His primary areas of investigation include Electric power system, Control theory, Control engineering, Mathematical optimization and Optimization problem. Hossein Shayeghi has included themes like Distributed generation and Wavelet in his Electric power system study. His Control theory research is multidisciplinary, incorporating elements of Particle swarm optimization and Fuzzy logic.
His study in Control engineering is interdisciplinary in nature, drawing from both Hybrid neural network and Feature selection. His work on Multi-objective optimization as part of general Mathematical optimization research is frequently linked to Decimal and Regular polygon, thereby connecting diverse disciplines of science. His Optimization problem study integrates concerns from other disciplines, such as Hybrid system, Wind power and Electrification, Rural electrification.
His primary scientific interests are in Electric power system, Control theory, Mathematical optimization, Control theory and Control engineering. His research in Electric power system intersects with topics in Time domain, Particle swarm optimization, Nonlinear system, Optimization problem and Robustness. Hossein Shayeghi combines subjects such as Unified power flow controller and Fuzzy logic with his study of Control theory.
The Mathematical optimization study combines topics in areas such as Transmission and Reliability. His research in Control theory focuses on subjects like Reinforcement learning, which are connected to IPFC. His Control engineering study often links to related topics such as Multi-objective optimization.
Hossein Shayeghi mostly deals with Electrical engineering, Voltage, Electric power system, Microgrid and Reliability engineering. Many of his research projects under Electrical engineering are closely connected to Materials science with Materials science, tying the diverse disciplines of science together. His work deals with themes such as Control theory and Control theory, which intersect with Voltage.
His research in the fields of Automatic frequency control, Discretization and PID controller overlaps with other disciplines such as Markov decision process. His work in Electric power system is not limited to one particular discipline; it also encompasses Smart grid. His Microgrid study combines topics from a wide range of disciplines, such as Distributed generation and Resilience.
Hossein Shayeghi mainly focuses on Materials science, Fragility, Microgrid, Reliability engineering and Resilience. Materials science combines with fields such as Leakage inductance, Electrical engineering, High voltage, Voltage and Duty cycle in his research. His study in the fields of Transistor, Inductive coupling and Diode under the domain of Electrical engineering overlaps with other disciplines such as Thermal conduction and Power MOSFET.
Fragility is intertwined with Electric power system, Stochastic matrix, Event, Natural disaster and Monte Carlo method in his research. His study connects Smart grid and Microgrid. Electronic engineering and Inductor are commonly linked in his work.
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.
Load frequency control strategies: A state-of-the-art survey for the researcher
H. Shayeghi;H.A. Shayanfar;A. Jalili.
Energy Conversion and Management (2009)
Multi-stage fuzzy load frequency control using PSO
H. Shayeghi;A. Jalili;H.A. Shayanfar.
Energy Conversion and Management (2008)
Two stage forecast engine with feature selection technique and improved meta-heuristic algorithm for electricity load forecasting
Noradin Ghadimi;Adel Akbarimajd;Hossein Shayeghi;Oveis Abedinia;Oveis Abedinia.
Energy (2018)
Demand side management in a smart micro-grid in the presence of renewable generation and demand response
G.R. Aghajani;H.A. Shayanfar;H. Shayeghi.
Energy (2017)
A novel hybrid algorithm for electricity price and load forecasting in smart grids with demand-side management
A. Ghasemi;H. Shayeghi;H. Shayeghi;Mohammad Moradzadeh;M. Nooshyar.
Applied Energy (2016)
PSS and TCSC damping controller coordinated design using PSO in multi-machine power system
H. Shayeghi;A. Safari;H.A. Shayanfar.
Energy Conversion and Management (2010)
Robust decentralized neural networks based LFC in a deregulated power system
H. Shayeghi;H.A. Shayanfar;O.P. Malik.
Electric Power Systems Research (2007)
A robust PSSs design using PSO in a multi-machine environment
H. Shayeghi;H.A. Shayanfar;A. Safari;R. Aghmasheh.
Energy Conversion and Management (2010)
Multi-stage fuzzy PID power system automatic generation controller in deregulated environments
H. Shayeghi;H.A. Shayanfar;A. Jalili.
Energy Conversion and Management (2006)
Presenting a multi-objective generation scheduling model for pricing demand response rate in micro-grid energy management
G.R. Aghajani;H.A. Shayanfar;H. Shayeghi.
Energy Conversion and Management (2015)
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