DocumentCode
246126
Title
Energy Saving by Ambient Intelligence Techniques
Author
Cristani, Matteo ; Karafili, Erisa ; Tomazzoli, Claudio
Author_Institution
Dept. of Comput. Sci., Univ. of Verona, Verona, Italy
fYear
2014
fDate
10-12 Sept. 2014
Firstpage
157
Lastpage
164
Abstract
Nowadays the problem of energy consumption is becoming a pressing problem. We present an innovative system named Elettra able to allow people to monitor and control energy consumption in one or more buildings. For improving Elettra we introduce different methods taken from ambient intelligence. Through these methods we can infer energy consumption, construct a plan for decreasing energy consumption, improve this plan and adopt it to the system. The implementation of these methods to Elettra helps its automation and increases its efficiency.
Keywords
ambient intelligence; buildings (structures); energy conservation; energy consumption; learning (artificial intelligence); power engineering computing; Elettra; ambient intelligence techniques; building energy consumption; energy saving; Ambient intelligence; Buildings; Databases; Electricity; Energy consumption; Planning; ambient intelligence; ambient intelligence techniques; energy saving; intelligent systems; machine learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Network-Based Information Systems (NBiS), 2014 17th International Conference on
Conference_Location
Salerno
Print_ISBN
978-1-4799-4226-8
Type
conf
DOI
10.1109/NBiS.2014.39
Filename
7023948
Link To Document