In an energy management (EM) perspective, an ob- jective function considering the balance of energy and resources needs to be optimized. To reach the goal, in a residential scenario, a number of tasks (typically appliances) can be managed (e.g. shifted). This paper proposes an unobtrusive cascade classifier approach to autonomously identify the different appliances and their priorities (shiftable, non interruptible, continuous loads) in EM algorithms based on smart plugs measures.
Non Intrusive Load Identification for Smart Energy Management Systems / Chelli, Giacomo; Ciabattoni, L.; Flores-Arias, J. M.; Foresi, Gabriele; Monteriù, A.; PROIETTI PAGNOTTA, Daniele. - ELETTRONICO. - (2018), pp. 1-2. (Intervento presentato al convegno 36th IEEE International Conference on Consumer Electronics (ICCE) tenutosi a Las Vegas, USA nel January 12-14, 2018).
Non Intrusive Load Identification for Smart Energy Management Systems
L. Ciabattoni;FORESI, GABRIELE;A. Monteriù;PROIETTI PAGNOTTA, DANIELE
2018-01-01
Abstract
In an energy management (EM) perspective, an ob- jective function considering the balance of energy and resources needs to be optimized. To reach the goal, in a residential scenario, a number of tasks (typically appliances) can be managed (e.g. shifted). This paper proposes an unobtrusive cascade classifier approach to autonomously identify the different appliances and their priorities (shiftable, non interruptible, continuous loads) in EM algorithms based on smart plugs measures.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
