dc.contributor.author | Onen, Ahmet | |
dc.contributor.author | Jung, Jaesung | |
dc.contributor.author | Guerrero, Josep M. M | |
dc.contributor.author | Lee, Chul-Ho | |
dc.contributor.author | Hossain, Md Alamgir | |
dc.date.accessioned | 2023-03-09T06:59:16Z | |
dc.date.available | 2023-03-09T06:59:16Z | |
dc.date.issued | 2022 | en_US |
dc.identifier.issn | 2296-598X | |
dc.identifier.other | WOS:000900440900001 | |
dc.identifier.uri | https://doi.org/10.3389/fenrg.2022.1100740 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12573/1502 | |
dc.description.abstract | One of the biggest challenges in the current power system operation is caused by the
large scale integration of distributed energy resources (DERs) that have high volatility
generations (Uzum et al., 2021). Communication and control technologies are
significantly improved to provide direct interaction between agents and customers,
such as in peer-to-peer frameworks. In addition, the recent developments in
monitoring, sensor networks, and advanced metering infrastructure (AMI) greatly
enhance the variety, volume, and speed of measurement data in electricity
transmission and distribution networks. By harnessing these technologies, the
application of big data, artificial intelligence, and machine learning methods can be
implemented to overcome the challenges from massive DERs integration in power
systems. However, these technologies require a large amount of capital to operate,
which can lead to financial loss if used without an appropriate strategy.
In this context, the topics of interest of this Research Topic address market-based DER
operations, regulation, and decision-making, and analyze the impact of market-based
DER operation on power systems. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | FRONTIERS MEDIA SA | en_US |
dc.relation.isversionof | 10.3389/fenrg.2022.1100740 | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | renewable resources | en_US |
dc.subject | distributed energy source | en_US |
dc.subject | electricity market | en_US |
dc.subject | big data application | en_US |
dc.subject | artificial intelligence | en_US |
dc.title | Editorial Market-based distributed energy resources operation for future power systems | en_US |
dc.type | article | en_US |
dc.contributor.department | AGÜ, Mühendislik Fakültesi, Elektrik - Elektronik Mühendisliği Bölümü | en_US |
dc.contributor.authorID | 0000-0001-7086-5112 | en_US |
dc.contributor.institutionauthor | Önen, Ahmet | |
dc.identifier.volume | 10 | en_US |
dc.identifier.startpage | 1 | en_US |
dc.identifier.endpage | 2 | en_US |
dc.relation.journal | Frontiers in Energy Research | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |