Title :
Residential energy monitoring and management based on fuzzy logic
Author :
Ciabattoni, L. ; Grisostomi, M. ; Ippoliti, G. ; Pagnotta, D. Proietti ; Foresi, G. ; Longhi, S.
Author_Institution :
Dipt. di Ing. dell´Inf., Univ.´ Politec. delle Marche, Ancona, Italy
Abstract :
In the new European scenario the design of a photovoltaic plant ensuring savings on electricity bills is strongly related to energy management policies. This paper introduces a low-cost device to monitor domestic electricity consumptions, photovoltaic production and define load shifting policies based on fuzzy logic forecasts.
Keywords :
energy management systems; fuzzy logic; government policies; load forecasting; photovoltaic power systems; power consumption; European scenario; domestic electricity consumptions; electricity bills; energy management policy; fuzzy logic forecasts; load shifting policy; photovoltaic plant; photovoltaic production; residential energy management; residential energy monitoring; Conferences; Electricity; Energy management; Fuzzy logic; Home appliances; Monitoring; Production;
Conference_Titel :
Consumer Electronics (ICCE), 2015 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-7542-6
DOI :
10.1109/ICCE.2015.7066515