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DTSTART:19700329T030000
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CREATED:20260116T115829Z
LAST-MODIFIED:20260116T115829Z
DTSTAMP:20260909T121544Z
UID:1788945344@tuc.gr
SUMMARY:'Electric Power Systems as the Backb
 one of Smart Energy Systems: Operati
 on, Flexibility, and Data-Driven Dec
 ision Support" by Dr. Nikolaos Sifak
 is
LOCATION:Λ - Κτίριο Επιστημών/ΗΜΜΥ, 145Π-58
DESCRIPTION:https://www.ece.tuc.gr/el/katalogos-
 ekdiloseon?tx_tucevents2_tuceventsdi
 splay%5Baction%5D=show&tx_tucevents2
 _tuceventsdisplay%5Bcontroller%5D=Ev
 ent&tx_tucevents2_tuceventsdisplay%5
 Bevent%5D=8232&cHash=a03755f380290dc
 e29621df07ef8ed1d\nAbstract\n Modern
  Electric Power Systems (EPS) are be
 ing transformed at an incredible pac
 e, as the integration of renewable r
 esources, flexible loads and distrib
 uted resources continues to increase
  the uncertainty and complexity of o
 perating such systems. As the infras
 tructure of EPS has remained relativ
 ely stable, the way that they are op
 erated, planned and decisions made a
 bout them is changing dramatically. 
 This presentation explores the opera
 tion and planning of EPS within the 
 context of increasing uncertainty an
 d complexity with an emphasis on sys
 tem level modeling, optimization, an
 d data driven decision support. The 
 research trajectory presented in thi
 s paper spans from building real sca
 le systems and ports/industrial appl
 ications, to small islands/weak grid
  configurations, to large-scale inte
 grated energy systems, each studied 
 under the same principles of power s
 ystem operations as applied to the r
 eal world. In addition to forecastin
 g and optimization techniques, multi
 -criteria decision making methodolog
 ies have been developed across the t
 rajectory to provide operational sup
 port while respecting both the physi
 cal limitations of the EPS as well a
 s the temporal limitations and relia
 bility constraints of such systems. 
 Additionally, data-driven methodolog
 ies have been developed to improve p
 redictive accuracy, to enable the ex
 ploration of alternative scenarios, 
 and to improve the transparency of d
 ecisions made regarding the operatio
 n of EPS, without diminishing the im
 portance of physics-based power syst
 em models. Concluding, the presentat
 ion will provide an overview of the 
 scientific contributions made to dat
 e and will outline the foundational 
 elements necessary for initiating a 
 new research cycle focused on develo
 ping operational intelligence, flexi
 bility and decision support for EPS 
 engineers and researchers working in
  today's evolving power system envir
 onment.\n \n About the Speaker\n Nik
 olaos Sifakis is an academic researc
 her working on the operation and pla
 nning of Electric Power Systems (EPS
 ), with emphasis on system-level mod
 eling, flexibility, and data-driven 
 decision support under high renewabl
 e penetration. His research focuses 
 on how power systems operate under u
 ncertainty across different temporal
  and spatial scales, integrating for
 ecasting, optimization, and decision
 -support methodologies within real-w
 orld operational constraints. He has
  been actively involved in numerous 
 European research and innovation pro
 jects, contributing as a technical r
 esearcher and project manager to top
 ics including renewable integration,
  hybrid energy systems, energy manag
 ement systems, cold ironing, and fle
 xibility-oriented power system opera
 tion. His work spans a wide range of
  application domains, including buil
 dings, ports, islanded grids, and di
 stributed energy systems. His academ
 ic activities combine applied resear
 ch, participation in European projec
 ts, and teaching-related contributio
 ns, with a strong emphasis on linkin
 g foundational power system concepts
  to contemporary operational challen
 ges. His research agenda is firmly r
 ooted in EPS, addressing their evolv
 ing operational requirements in the 
 context of the energy transition.\n
STATUS:CONFIRMED
ORGANIZER;RSVP=FALSE;CN=TUC;CUTYPE=TUC:mailto:webmaster@tuc.gr
DTSTART:20260116T120000
DTEND:20260116T130000
TRANSP:OPAQUE
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