Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Halil Cimen"'
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 3614-3628 (2022)
A deeper decarbonization perspective is undergoing with the increasing engagement of new distributed players and the deployment of innovative behind-the-meter flexibility services. Peer-to-Peer (P2P) trading has emerged as an innovative mechanism to
Externí odkaz:
https://doaj.org/article/848b5c8bab5f4bbcafbedefed4829e72
Publikováno v:
Cimen, H, Wu, Y, Wu, Y, Terriche, Y, Vasquez, J C & Guerrero, J M 2022, ' Deep Learning-based Probabilistic Autoencoder for Residential Energy Disaggregation : An Adversarial Approach ', IEEE Transactions on Industrial Informatics, vol. 18, no. 12, pp. 8399-8408 . https://doi.org/10.1109/TII.2022.3150334
Energy disaggregation is the process of disaggregating a household's total energy consumption into its appliance-level components. One of the limitations of energy disaggregation is its generalization capacity, which can be defined as the ability of
Publikováno v:
Wu, Y, Wu, Y, Çimen, H, Vasquez, J C & Guerrero, J M 2022, ' P2P energy trading : Blockchain-enabled P2P energy society with multi-scale flexibility services ', Energy Reports, vol. 8, pp. 3614-3628 . https://doi.org/10.1016/j.egyr.2022.02.074
A deeper decarbonization perspective is undergoing with the increasing engagement of new distributed players and the deployment of innovative behind-the-meter flexibility services. Peer-to-Peer (P2P) trading has emerged as an innovative mechanism to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63c2067569c913c5924971fae30b4634
https://vbn.aau.dk/ws/files/482459823/1_s2.0_S2352484722003213_main.pdf
https://vbn.aau.dk/ws/files/482459823/1_s2.0_S2352484722003213_main.pdf
Publikováno v:
Wu, Y, Wu, Y, Çimen, H, Vasquez, J C & Guerrero, J M 2022, ' Towards collective energy Community : Potential roles of microgrid and blockchain to go beyond P2P energy trading ', Applied Energy, vol. 314, 119003 . https://doi.org/10.1016/j.apenergy.2022.119003
Decarbonisation of energy sector is crucial to deliver the future net zero energy system with promoting and facilitating the large-scale electrification of end-user sectors. It is necessary to provide sustainable, cost-effective, resilient and scalab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8133150b945d3ebb6e5bf96e57e3114
https://vbn.aau.dk/da/publications/c74a96e8-cfca-4d52-ae4c-439ae2bacac2
https://vbn.aau.dk/da/publications/c74a96e8-cfca-4d52-ae4c-439ae2bacac2
Autor:
Juan C. Vasquez, Chun-Lien Su, Yacine Terriche, Halil Cimen, Abderezak Lashab, Josep M. Guerrero
Publikováno v:
Terriche, Y, Lashab, A, Çimen, H, Guerrero, J M, Su, C L & Vasquez, J C 2022, ' Power Quality Assessment Using Signal Periodicity Independent Algorithms – A Shipboard Microgrid Case Study ', Applied Energy, vol. 307, 118151 . https://doi.org/10.1016/j.apenergy.2021.118151
Retrofitting of shipboard microgrids is receiving much attention nowadays due to the flexibility it offers to adapt existing ships with rapid market variations to move towards all-electric ships (A-ESs). This modernity mainly relies on incorporating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dea242a4dbe21debc406492b5b44df4
https://vbn.aau.dk/ws/files/459353128/1_s2.0_S0306261921014264_main.pdf
https://vbn.aau.dk/ws/files/459353128/1_s2.0_S0306261921014264_main.pdf
Autor:
Juan C. Vasquez, Nurettin Cetinkaya, Halil Cimen, Josep M. Guerrero, Morten Kolaek, Emilio J. Palacios-Garcia
Publikováno v:
Çimen, H, Garcia, E J P, Kolbæk, M, Cetinkaya, N, Vasquez, J C & Guerrero, J M 2021, ' Smart-Building Applications : Deep Learning-Based, Real-Time Load Monitoring ', I E E E Industrial Electronics Magazine, vol. 15, no. 2, 9310683, pp. 4-15 . https://doi.org/10.1109/MIE.2020.3023075
Google's Director of Research, Peter Norvig said that “We don’t have better algorithms than anyone else, we just have more data”. This inspiring statement shows that having more data is directly related to better decision making and having the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1437a34df789beacb0b169d747a57f8
https://vbn.aau.dk/ws/files/475862868/Smart_Building_Applications_Deep_Learning_Based_Real_Time_Load_Monitoring.pdf
https://vbn.aau.dk/ws/files/475862868/Smart_Building_Applications_Deep_Learning_Based_Real_Time_Load_Monitoring.pdf
Autor:
Nurettin Cetinkaya, Halil Cimen
Publikováno v:
IET Renewable Power Generation. 13:2367-2375
Microgrids (MG) provide advantages such as providing energy supply to areas far from the distribution grid, efficient use of resources by supporting demand management and having a more dynamic grid. However, if an advanced control system is not imple
Publikováno v:
Çimen, H, Çetinkaya, N, Vasquez, J C & Guerrero, J M 2021, ' A Microgrid Energy Management System Based on Non-Intrusive Load Monitoring via Multitask Learning ', IEEE Transactions on Smart Grid, vol. 12, no. 2, 9208737, pp. 977-987 . https://doi.org/10.1109/TSG.2020.3027491
Non-intrusive load monitoring (NILM) enables to understand the appliance-level behavior of the consumers by using only smart meter data, and it mitigates the requirements such as high-cost sensors, maintenance/update and provides a cost-effective sol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ff3ac61cbb1952f2431bcc711f25437
https://aperta.ulakbim.gov.tr/record/232364
https://aperta.ulakbim.gov.tr/record/232364
Autor:
Halil Cimen, Abderezak Lashab, Josep M. Guerrero, Yacine Terriche, Juan C. Vasquez, Najmeh Bazmohammadi
Publikováno v:
Çimen, H, Bazmohammadi, N, Lashab, A, Terriche, Y, Vasquez, J C & Guerrero, J M 2022, ' An online energy management system for AC/DC residential microgrids supported by non-intrusive load monitoring ', Applied Energy, vol. 307, 118136 . https://doi.org/10.1016/j.apenergy.2021.118136
Traditional electric energy systems are experiencing a major revolution and the main drivers of this revolution are green transition and digitalization. In this paper, an advanced system-level EMS is proposed for residential AC/DC microgrids (MGs) by
Autor:
Nurettin Cetinkaya, Giuseppe Sciumè, Halil Cimen, Juan C. Vasquez, Josep M. Guerrero, Emilio J. Palacios-Garcia, Morten Kolbak
Publikováno v:
Cimen, H, Palacios-Garcia, E J, Cetinkaya, N, Kolbæk, M, Sciume, G, Vasquez, J C & Guerrero, J M 2020, Generalization Capacity Analysis of Non-Intrusive Load Monitoring using Deep Learning . in 20th IEEE Mediterranean Electrotechnical Conference, MELECON 2020-Proceedings ., 9140688, IEEE Signal Processing Society, 20th IEEE Mediterranean Electrotechnical Conference, MELECON 2020-Proceedings, pp. 216-220, 20th IEEE Mediterranean Electrotechnical Conference, MELECON 2020, Palermo, Italy, 15/06/2020 . https://doi.org/10.1109/MELECON48756.2020.9140688
Appliance Load Monitoring is a technique used to monitor devices existing in homes, industry or naval vessels. Acquisition of device-level data can provide great benefits in many areas such as energy management, demand response, and load forecasting.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee25fae756dc4756958e2b3cb6ff2082
https://vbn.aau.dk/da/publications/e6952889-523f-4002-895d-d96c6ed803dc
https://vbn.aau.dk/da/publications/e6952889-523f-4002-895d-d96c6ed803dc