LEADER 01783nam  2200385z- 450 
001 9910346889703321
005 20210211
010   $a1000031133
035   $a(CKB)4920000000101625
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/53742
035   $a(oapen)doab53742
035   $a(EXLCZ)994920000000101625
100   $a20202102d2013      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aModelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models
210   $cKIT Scientific Publishing$d2013
215   $a1 online resource (XIV, 181 p. p.)
311 08$a3-86644-946-1 
330   $aComplexity science aims to better understand the processes of both natural and man-made systems which are composed of many interacting entities at different scales. A disaggregated approach is proposed for simulating electricity systems, by using agent-based models coupled to continuous ones. The approach can help in acquiring a better understanding of the operation of the system itself, e.g. on emergent phenomena or scale effects; as well as in the improvement and design of future smart grids.
606   $aTechnology: general issues$2bicssc
610   $acomplexity
610   $ademand side management
610   $aemergence
610   $amulti agent systems
610   $asmart grids
615  7$aTechnology: general issues
700   $aKremers$b Enrique Alberto$4auth$01311946
906   $aBOOK
912   $a9910346889703321
996   $aModelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models$93030600
997   $aUNINA