Data di Pubblicazione:
2022
Abstract:
In the last few years, many appliances are spreading into our houses
and are daily used. Such equipment significantly improves the quality of life of
people, but their use, when not well regulated, can bring a needless increment in the
electricity bill. Such an increment could be mitigated by using intelligent scheduling
policies that guide the users towards correct exploitation of electric devices so
optimizing their use while, at the same time, saving energy, money, and time. This
chapter proposes a case study in which a cognitive scheduling approach is used.
Such a case study, implemented in the context of the COGITO project, is devoted
to automatically scheduling electric loads in houses according to user preferences,
self-produced energy, and variable energy costs.
Tipologia CRIS:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Internet of Things
Elenco autori:
Greco, Emilio; Cicirelli, FRANCO DOMENICO; Guerrieri, Antonio; Gentile, ANTONIO FRANCESCO
Link alla scheda completa:
Titolo del libro:
IoT Edge Solutions for Cognitive Buildings
Pubblicato in: