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