Multi-agent system for microgrids: design, optimization and performance

Article Properties
Cite
Tazi, Khadija, et al. “Multi-Agent System for Microgrids: Design, Optimization and Performance”. Artificial Intelligence Review, vol. 53, no. 2, 2019, pp. 1233-92, https://doi.org/10.1007/s10462-019-09695-7.
Tazi, K., Abbou, F. M., & Abdi, F. (2019). Multi-agent system for microgrids: design, optimization and performance. Artificial Intelligence Review, 53(2), 1233-1292. https://doi.org/10.1007/s10462-019-09695-7
Tazi K, Abbou FM, Abdi F. Multi-agent system for microgrids: design, optimization and performance. Artificial Intelligence Review. 2019;53(2):1233-92.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Mechanical engineering and machinery
Refrences
Title Journal Journal Categories Citations Publication Date
10.1109/TII.2018.2808183 2019
10.1109/TSG.2017.2759159 2019
10.1109/TPWRS.2017.2734850 IEEE Transactions on Power Systems
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
2018
10.1109/TII.2017.2772088 2018
10.1109/TSG.2017.2668767 2018
Citations
Title Journal Journal Categories Citations Publication Date
Decentralized approximated optimal control for modular robot manipulations with physical human–robot interaction: a cooperative game-based strategy Nonlinear Dynamics
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
2024
Trust & Fair Resource Allocation in Community Energy Systems IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
2024
An approach to energy distribution between sources in a hierarchical integrated energy system using multi-agent technologies Energy Reports
  • Technology: Environmental technology. Sanitary engineering
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Engineering (General). Civil engineering (General)
1 2023
Multi-agent-based energy management of multiple grid-connected green buildings Journal of Building Engineering 4 2023
Selfish batteries vs. benevolent optimizers Renewable and Sustainable Energy Reviews
  • Technology: Mechanical engineering and machinery: Renewable energy sources
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Environmental technology. Sanitary engineering
  • Technology: Engineering (General). Civil engineering (General)
2023
Citations Analysis
Category Category Repetition
Technology: Engineering (General). Civil engineering (General)16
Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade11
Technology: Environmental technology. Sanitary engineering11
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks7
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics6
Technology: Electrical engineering. Electronics. Nuclear engineering4
Technology: Mechanical engineering and machinery: Renewable energy sources3
Technology3
Science: Mathematics: Instruments and machines: Electronic computers. Computer science3
Science: Biology (General)2
Science: Chemistry2
Science: Science (General): Cybernetics: Information theory2
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication2
Technology: Chemical technology: Chemical engineering2
Technology: Mechanical engineering and machinery2
Science: Physics1
Science: Chemistry: General. Including alchemy1
Technology: Technology (General): Industrial engineering. Management engineering1
Technology: Chemical technology1
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials1
Technology: Electrical engineering. Electronics. Nuclear engineering: Production of electric energy or power. Powerplants. Central stations1
Technology: Electrical engineering. Electronics. Nuclear engineering: Nuclear engineering. Atomic power1
Medicine1
Science1
Science: Science (General)1
Science: Chemistry: Physical and theoretical chemistry1
Geography. Anthropology. Recreation: Environmental sciences1
Science: Biology (General): Ecology1
Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics1
Science: Mathematics1
Science: Mathematics: Instruments and machines1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware1
Medicine: Medicine (General): Computer applications to medicine. Medical informatics1
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry1
The category Technology: Engineering (General). Civil engineering (General) 16 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Multiagent Task Planning Based on Distributed Resource Scheduling under Command and Control Structure and was published in 2019. The most recent citation comes from a 2024 study titled Decentralized approximated optimal control for modular robot manipulations with physical human–robot interaction: a cooperative game-based strategy. This article reached its peak citation in 2022, with 10 citations. It has been cited in 21 different journals, 33% of which are open access. Among related journals, the Energies cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year