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
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;
Conference_Titel :
Network-Based Information Systems (NBiS), 2014 17th International Conference on
Conference_Location :
Salerno
Print_ISBN :
978-1-4799-4226-8
DOI :
10.1109/NBiS.2014.39