What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Statistics
- Mathematical optimization
His primary areas of study are Demand response, Distributed generation, Renewable energy, Multi-objective optimization and Demand forecasting.
His Demand response study incorporates themes from Wind power, Scheduling, Real-time computing and Simulation.
His studies deal with areas such as Reliability engineering, Microgrid, Smart grid and Operations research as well as Distributed generation.
His research in Renewable energy intersects with topics in State of charge, Electric vehicle, Automotive engineering and Energy storage.
His Multi-objective optimization research includes themes of Linear programming, Pareto principle, Environmental economics and Electrical engineering.
His Mathematical optimization research is multidisciplinary, relying on both Transmission and Electric power system.
His most cited work include:
- Optimal electrical and thermal energy management of a residential energy hub, integrating demand response and energy storage system (274 citations)
- Integrated scheduling of renewable generation and demand response programs in a microgrid (240 citations)
- Multi-objective scheduling of electric vehicles in smart distribution system (210 citations)
What are the main themes of his work throughout his whole career to date?
Shahram Jadid mainly investigates Mathematical optimization, Electric power system, Demand response, Distributed generation and Renewable energy.
The Mathematical optimization study combines topics in areas such as Electricity and Electricity market.
His work carried out in the field of Electric power system brings together such families of science as Automatic frequency control, Control theory, Transmission, Transmission system and Electricity generation.
His research integrates issues of Reliability engineering, Real-time computing, Energy storage, Scheduling and Microgrid in his study of Demand response.
Shahram Jadid combines subjects such as Genetic algorithm, Pareto principle, Smart grid, Investment and Operations research with his study of Distributed generation.
His studies in Renewable energy integrate themes in fields like Energy management, Home automation, Automotive engineering, Simulation and Environmental economics.
He most often published in these fields:
- Mathematical optimization (38.46%)
- Electric power system (27.22%)
- Demand response (20.12%)
What were the highlights of his more recent work (between 2017-2021)?
- Mathematical optimization (38.46%)
- Demand response (20.12%)
- Microgrid (11.24%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Mathematical optimization, Demand response, Microgrid, Renewable energy and Energy management.
His study in Mathematical optimization is interdisciplinary in nature, drawing from both Total cost, Photovoltaic system, Market price and Energy storage.
His Total cost study incorporates themes from Scheduling and Nonlinear system.
His Demand response research incorporates themes from Energy management system, Profit, Dispatchable generation, Load profile and Flexibility.
His Microgrid research integrates issues from Wind power, Reliability engineering, Multi carrier, Energy and Multi-objective optimization.
He usually deals with Energy and limits it to topics linked to Electricity and Automotive engineering, Forced outage and Reliability.
Between 2017 and 2021, his most popular works were:
- Optimal simultaneous day-ahead scheduling and hourly reconfiguration of distribution systems considering responsive loads (39 citations)
- Multi-objective optimum charging management of electric vehicles through battery swapping stations (28 citations)
- A Stochastic Model Predictive Control Approach for Joint Operational Scheduling and Hourly Reconfiguration of Distribution Systems (20 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Mathematical optimization
- Statistics
Shahram Jadid focuses on Mathematical optimization, Demand response, Optimization problem, Microgrid and Profit.
His Mathematical optimization research is multidisciplinary, incorporating elements of Market mechanism, Renewable energy and Energy storage.
His work deals with themes such as Total cost, Control reconfiguration, Stochastic optimization, Load profile and Integer programming, which intersect with Demand response.
Shahram Jadid interconnects Scheduling and Distributed generation in the investigation of issues within Control reconfiguration.
His Optimization problem research is multidisciplinary, incorporating perspectives in Computational complexity theory, Photovoltaic system and Depth of discharge.
The study incorporates disciplines such as Pareto principle, Diesel generator and Flexibility in addition to Microgrid.
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