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- Title
A Platform for Analysing Huge Amounts of Data from Households, Photovoltaics, and Electrical Vehicles: From Data to Information.
- Authors
Cano-Ortega, Antonio; García-Cumbreras, Miguel A.; Sánchez-Sutil, Francisco; Hernández, Jesús C.
- Abstract
Analytics 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.
- Subjects
ONLINE data processing; PHOTOVOLTAIC power generation; SMART meters; SMART homes; SYSTEMS design; DATA mining; CLOUD storage
- Publication
Electronics (2079-9292), 2022, Vol 11, Issue 23, p3991
- ISSN
2079-9292
- Publication type
Article
- DOI
10.3390/electronics11233991