Çimen, HalilPalacios-Garcia, Emilio J.Kolbaek, MortenÇetinkaya, NurettinVasquez, Juan C.Guerrero, Josep M.2021-12-132021-12-1320211932-45291941-0115https://doi.org/10.1109/MIE.2020.3023075https://hdl.handle.net/20.500.13091/379Google'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.eninfo:eu-repo/semantics/closedAccessHome appliancesData modelsMonitoringFeature extractionSmart metersInternet of ThingsHidden Markov modelsAlgorithm design and theorySYSTEMSmart-Building Applications: Deep Learning-Based, Real-Time Load MonitoringArticle10.1109/MIE.2020.30230752-s2.0-85099079431