Cano-Ortega, AntonioGarcía-Cumbreras, Miguel ÁngelSánchez-Sutil, Franciscode-la-Casa-Hernández, Jesús2025-09-242025-09-242022-12-012079-9292https://doi.org/10.3390/electronics11233991https://www.mdpi.com/2079-9292/11/23/3991https://hdl.handle.net/10953/6123Analytics is an essential procedure to acquire knowledge and support applications for determining electricity consumption in smart homes. Electricity variables measured by the smart meter (SM) produce a significant amount of data on consumers, making the data sets very sizable and the analytics complex. Data mining and emerging cloud computing technologies make collecting, processing, and analysing the so-called big data possible. The monitoring and visualization of information aid in personalizing applications that benefit both homeowners and researchers in analysing consumer profiles. This paper presents a smart meter for household (SMH) to obtain load profiles and a new platform that allows the innovative analysis of captured Internet of Things data from smart homes, photovoltaics, and electrical vehicles. We propose the use of cloud systems to enable data-based services and address the challenges of complexities and resource demands for online and offline data processing, storage, and classification analysis. The requirements and system design components are discussed.engAttribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/Internet of thingsData acquisitionCloud computingBig data analyticsLoad profileSmart meterinfo:eu-repo/semantics/article621.35info:eu-repo/semantics/openAccess