What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Renewable energy
- Artificial intelligence
His scientific interests lie mostly in Energy management, Renewable energy, Demand response, Microgrid and Electric power system.
Amjad Anvari-Moghaddam combines subjects such as Energy conservation, Reliability engineering, Simulation and Energy storage with his study of Energy management.
Amjad Anvari-Moghaddam has researched Energy conservation in several fields, including Home automation, Efficient energy use and Management system.
His Renewable energy research includes themes of Control engineering and Scheduling.
His Demand response study combines topics from a wide range of disciplines, such as Distributed generation, Energy consumption, Optimization problem, Load profile and Operations research.
The various areas that Amjad Anvari-Moghaddam examines in his Electric power system study include Algorithm design and Real-time computing.
His most cited work include:
- Optimal Smart Home Energy Management Considering Energy Saving and a Comfortable Lifestyle (248 citations)
- A multi-agent based energy management solution for integrated buildings and microgrid system (105 citations)
- Cost-effective and comfort-aware residential energy management under different pricing schemes and weather conditions (77 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Renewable energy, Demand response, Energy management, Microgrid and Energy storage.
His research integrates issues of Wind power, Photovoltaic system, Operating cost and Electric power system in his study of Renewable energy.
Electricity covers Amjad Anvari-Moghaddam research in Demand response.
His Energy management course of study focuses on Smart grid and Distributed computing.
His work in Microgrid addresses issues such as Distributed generation, which are connected to fields such as Energy supply.
His Energy storage research includes elements of Stochastic programming, Scheduling, Automotive engineering and Electrical engineering.
He most often published in these fields:
- Renewable energy (32.88%)
- Demand response (29.68%)
- Energy management (21.46%)
What were the highlights of his more recent work (between 2020-2021)?
- Renewable energy (32.88%)
- Energy (12.33%)
- Demand response (29.68%)
In recent papers he was focusing on the following fields of study:
His main research concerns Renewable energy, Energy, Demand response, Energy storage and Environmental economics.
His Electric power system research extends to Renewable energy, which is thematically connected.
His Energy research is mostly focused on the topic Energy management.
Demand response is a subfield of Electricity that Amjad Anvari-Moghaddam tackles.
His Energy storage research is multidisciplinary, relying on both Distributed computing, Control, Scheduling and Transactive energy.
His study in Environmental economics is interdisciplinary in nature, drawing from both Emerging technologies, Software deployment and Robustness.
Between 2020 and 2021, his most popular works were:
- Chance‐constrained scheduling of hybrid microgrids under transactive energy control (15 citations)
- Chance‐constrained scheduling of hybrid microgrids under transactive energy control (15 citations)
- A Novel Operational Model for Interconnected Microgrids Participation in Transactive Energy Market: A Hybrid IGDT/Stochastic Approach (15 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Artificial intelligence
- Renewable energy
Amjad Anvari-Moghaddam focuses on Renewable energy, Energy storage, Wind power, Energy market and Demand response.
The concepts of his Renewable energy study are interwoven with issues in Electric power system, Stochastic programming, Stochastic process, Energy and Robustness.
His studies in Energy storage integrate themes in fields like Control, Scheduling, Distributed computing and Transactive energy.
His work carried out in the field of Wind power brings together such families of science as Operating cost, Reliability engineering, Power system simulation and Efficient energy use.
The study incorporates disciplines such as Profit, Electricity market, Forms of energy, Cogeneration and Industrial organization in addition to Energy market.
His Demand response research is classified as research in Electricity.
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