2019
DOI: 10.3390/en12163200
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The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review

Abstract: Multi-agent systems are well-known for their expressiveness to explore interactions and knowledge representation in complex systems. Multi-agent systems have been applied in the energy domain since the 1990s. As more applications of multi-agent systems in the energy domain for advanced functions, the interoperability raises challenge raises to an increasing requirement for data and information exchange between systems. Therefore, the application of ontology in multi-agent systems needs to be emphasized and a s… Show more

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Cited by 45 publications
(30 citation statements)
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References 111 publications
(213 reference statements)
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“…Therefore, further works, e.g., simulations with various what-if scenarios and multiobjective optimization are recommended. Especially, agent-based simulations with the consideration from different stakeholders' perspectives are needed [52]. Meanwhile, besides Time-of-Use tariff, other types of dynamic distribution tariffs in the literature are recommended to be further investigated for understanding their impacts on the energy ecosystem [53].…”
Section: Limitation and Future Workmentioning
confidence: 99%
“…Therefore, further works, e.g., simulations with various what-if scenarios and multiobjective optimization are recommended. Especially, agent-based simulations with the consideration from different stakeholders' perspectives are needed [52]. Meanwhile, besides Time-of-Use tariff, other types of dynamic distribution tariffs in the literature are recommended to be further investigated for understanding their impacts on the energy ecosystem [53].…”
Section: Limitation and Future Workmentioning
confidence: 99%
“…We mention, also, Ontologies-Based Models which have been recently used in a huge number of research works in the multiagent field. We cite as example Ma et al (2019), Pico-Valencia et al (2019) and Guo et al (2019).…”
Section: Analysis Of Open Mas Internal Propertiesmentioning
confidence: 99%
“…Electricity power market simulation can be used not only to predict electricity prices, but also to evaluate power generation company market share, calculate power generation investment income, and assist market mechanism design. There are many research studies based on multiagent electricity power market simulation, and their performance has been approved by practical applications (Ma et al, 2019; Young, Poletti, & Browne, 2014). However, the electricity power market simulation is facing a difficulty that is hard to accurately model human behaviors.…”
Section: Big Data Mining In Energy Systemmentioning
confidence: 99%