@inbook{e6d6841c938b4db1b8da1d550d388211,
title = "Application for Monitoring and Prediction of Energy and Water Consumption in Domestic Cyber-Physical Systems",
abstract = "The growth of cyber-physical systems in the context of smart homes and the Internet of Things (IoT) offers an opportunity to specify and develop useful applications to different purposes, based on data acquired remotely and supported by data science algorithms. This article aims to present a contribution for the development of solutions for monitoring and prediction of energy and water consumption in smart homes, which can be used, for example, by households to visualize, monitor and optimize their consumption, as well as reduce costs.",
keywords = "Cyber-Physical systems, Data science, Energy optimization, Home energy and water management, Internet of things, Remote monitoring, Smart homes",
author = "Alberto Cardoso and Joaquim Leit{\~a}o and Daniel Azevedo and Paulo Gil and Bernardete Ribeiro",
note = "info:eu-repo/grantAgreement/FCT/5876/147324/PT# PhD scholarship SFRH/BD/122103/2016.",
year = "2020",
doi = "10.1007/978-3-030-23162-0_3",
language = "English",
isbn = "978-3-030-23161-3",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer",
pages = "28--37",
editor = "{Auer }, M. and Ram, {B. K.}",
booktitle = "Cyber-physical Systems and Digital Twins. REV2019 2019",
address = "Netherlands",
}