Paper Info
Title
Optimal battery management with ADHDP in smart home environments
Abstract
In this paper an optimal controller for battery management in smart home environments is presented in order to save costs and minimize energy waste. The considered scenario includes a load profile that must always be satisfied, a battery-system that is able to storage electrical energy, a photovoltaic (PV) panel, and the main grid that is used when it is necessary to satisfy the load requirements or charge the battery. The optimal controller design is based on a class of adaptive critic designs (ACDs) called action dependent heuristic dynamic programming (ADHDP). Results obtained with this scheme outperform the ones obtained by using the particle swarm optimization (PSO) method.
Year
DOI
Venue
2012
10.1007/978-3-642-31362-2_40
ISNN (2)
Keywords
Field
DocType
optimal battery management,dependent heuristic dynamic programming,energy waste,battery management,optimal controller design,load requirement,optimal controller,storage electrical energy,adaptive critic design,smart home environment,considered scenario,load profile
Computer science,Electric potential energy,Control engineering,Load profile,Home automation,Artificial intelligence,Photovoltaic system,Particle swarm optimization,Control theory,Simulation,Battery (electricity),Machine learning,Grid
Conference
Citations 
PageRank 
References 
9
0.99
2
Authors
7
Name
Order
Citations
PageRank
Danilo Fuselli1906.00
Francesco De Angelis216018.09
Matteo Boaro3906.00
Derong Liu45457286.88
Qinglai Wei52494110.44
Stefano Squartini637646.97
Francesco Piazza7673100.48