Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/379
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Çimen, Halil | - |
dc.contributor.author | Palacios-Garcia, Emilio J. | - |
dc.contributor.author | Kolbaek, Morten | - |
dc.contributor.author | Çetinkaya, Nurettin | - |
dc.contributor.author | Vasquez, Juan C. | - |
dc.contributor.author | Guerrero, Josep M. | - |
dc.date.accessioned | 2021-12-13T10:24:07Z | - |
dc.date.available | 2021-12-13T10:24:07Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 1932-4529 | - |
dc.identifier.issn | 1941-0115 | - |
dc.identifier.uri | https://doi.org/10.1109/MIE.2020.3023075 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/379 | - |
dc.description.abstract | Google's Director of Research Peter Norvig said, 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 foresight about the future. With the development of Internet of Things (IoT) technology, it is now much easier to gather data. Technological tools, such as social media websites, smartphones, and security cameras, can be considered as data generators. When the focus is shifted to the energy field, these generators are smart meters. | en_US |
dc.description.sponsorship | Scientific and Technological Research Council of Turkey BIDEB-2214 International Doctoral Research Fellowship Program; VILLUM FONDEN under the VILLUM Investigator Grant [25920]; Aalborg University [771116] | en_US |
dc.description.sponsorship | This work was supported by the Scientific and Technological Research Council of Turkey BIDEB-2214 International Doctoral Research Fellowship Program, VILLUM FONDEN under the VILLUM Investigator Grant 25920: Center for Research on Microgrids (www.crom.et.aau.dk), and the Aalborg University Talent Program 2016 with the research project The Energy Internet-Integrating the Internet of Things Into the Smart Grid (771116). | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_US |
dc.relation.ispartof | IEEE INDUSTRIAL ELECTRONICS MAGAZINE | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Home appliances | en_US |
dc.subject | Data models | en_US |
dc.subject | Monitoring | en_US |
dc.subject | Feature extraction | en_US |
dc.subject | Smart meters | en_US |
dc.subject | Internet of Things | en_US |
dc.subject | Hidden Markov models | en_US |
dc.subject | Algorithm design and theory | en_US |
dc.subject | SYSTEM | en_US |
dc.title | Smart-Building Applications: Deep Learning-Based, Real-Time Load Monitoring | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/MIE.2020.3023075 | - |
dc.identifier.scopus | 2-s2.0-85099079431 | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.authorid | Palacios-Garcia, Emilio Jose/0000-0003-2703-6532 | - |
dc.authorwosid | Palacios-Garcia, Emilio Jose/K-9567-2015 | - |
dc.authorwosid | Guerrero, Josep/D-5519-2014 | - |
dc.authorwosid | Vasquez, Juan C./J-2247-2014 | - |
dc.identifier.volume | 15 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.startpage | 4 | en_US |
dc.identifier.endpage | 15 | en_US |
dc.identifier.wos | WOS:000679819200003 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 57205614115 | - |
dc.authorscopusid | 55654876600 | - |
dc.authorscopusid | 57192388581 | - |
dc.authorscopusid | 10739795700 | - |
dc.authorscopusid | 57203104097 | - |
dc.authorscopusid | 35588010400 | - |
item.grantfulltext | embargo_20300101 | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.openairetype | Article | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 02.04. Department of Electrical and Electronics Engineering | - |
Appears in Collections: | Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections |
Files in This Item:
File | Size | Format | |
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Smart-Building_Applications_Deep_Learning-Based_Real-Time_Load_Monitoring.pdf Until 2030-01-01 | 1.67 MB | Adobe PDF | View/Open Request a copy |
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