What is he best known for?
The fields of study he is best known for:
- Microeconomics
- Mathematical optimization
- Demand response
Sayyad Nojavan mainly focuses on Demand response, Mathematical optimization, Simulation, Linear programming and Energy storage.
The concepts of his Demand response study are interwoven with issues in Total cost, Distributed generation and Electricity market.
His Distributed generation study incorporates themes from Load profile and Energy management.
His research ties Hybrid system and Mathematical optimization together.
The study incorporates disciplines such as Bidding and Electric power system in addition to Linear programming.
His research in Bidding intersects with topics in Robust optimization, Market price and Operations research.
His most cited work include:
- Stochastic optimization of energy hub operation with consideration of thermal energy market and demand response (136 citations)
- Optimal bidding strategy of electricity retailers using robust optimisation approach considering time-of-use rate demand response programs under market price uncertainties (108 citations)
- Energy storage system and demand response program effects on stochastic energy procurement of large consumers considering renewable generation (99 citations)
What are the main themes of his work throughout his whole career to date?
Demand response, Mathematical optimization, Market price, Electric power system and Microgrid are his primary areas of study.
His Demand response study combines topics from a wide range of disciplines, such as Distributed generation, Solver and Energy storage.
Sayyad Nojavan combines subjects such as Total cost and Reliability engineering with his study of Energy storage.
His research in Mathematical optimization focuses on subjects like Energy management, which are connected to Nonlinear programming.
In his study, Electricity market is strongly linked to Bidding, which falls under the umbrella field of Market price.
His research integrates issues of Scheduling and Information gap decision theory in his study of Microgrid.
He most often published in these fields:
- Demand response (47.62%)
- Mathematical optimization (46.94%)
- Market price (19.05%)
What were the highlights of his more recent work (between 2019-2021)?
- Demand response (47.62%)
- Mathematical optimization (46.94%)
- Microgrid (14.97%)
In recent papers he was focusing on the following fields of study:
His main research concerns Demand response, Mathematical optimization, Microgrid, Downside risk and Energy management.
His Demand response study combines topics in areas such as Reliability engineering, Solver and Energy storage.
His work deals with themes such as Linear programming and Operations research, which intersect with Solver.
His Mathematical optimization research is multidisciplinary, incorporating perspectives in Battery, Bidding and Electric power system.
His study looks at the relationship between Energy management and topics such as Distributed generation, which overlap with Electric power and Turbine.
Sayyad Nojavan has included themes like Profit, Market price and Robustness in his Robust optimization study.
Between 2019 and 2021, his most popular works were:
- Coordinated wind-thermal-energy storage offering strategy in energy and spinning reserve markets using a multi-stage model (44 citations)
- New optimal design for a hybrid solar chimney, solid oxide electrolysis and fuel cell based on improved deer hunting optimization algorithm (43 citations)
- Co-optimized bidding strategy of an integrated wind-thermal-photovoltaic system in deregulated electricity market under uncertainties (43 citations)
In his most recent research, the most cited papers focused on:
- Microeconomics
- Mathematical optimization
- Wind power
The scientist’s investigation covers issues in Mathematical optimization, Downside risk, Electricity market, Demand response and Wind power.
In the subject of general Mathematical optimization, his work in Stochastic optimization is often linked to Energy source, thereby combining diverse domains of study.
His biological study deals with issues like Bidding, which deal with fields such as Multi-objective optimization, Profit maximization, Pumped-storage hydroelectricity and Environmental economics.
His Demand response research is multidisciplinary, incorporating elements of TOPSIS, Dynamic demand, Price elasticity of demand and Economic model.
Sayyad Nojavan has researched Energy storage in several fields, including Automotive engineering, Microgrid and Electric power system.
His biological study spans a wide range of topics, including Robust optimization and Market price.
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