Το έξυπνο πλέγμα διανομής ενέργειας ως κυβερνο-φυσικό σύστημα και σύγκριση αλγορίθμων βελτιστοποίησης κατανάλωσης ενέργειας

Σπηλιόπουλος, Αλέξιος; Spiliopoulos, Alexios

dc.contributor.author	Σπηλιόπουλος, Αλέξιος	el
dc.contributor.author	Spiliopoulos, Alexios	en
dc.date.accessioned	2017-02-01T11:01:33Z
dc.date.available	2017-02-01T11:01:33Z
dc.date.issued	2017-02-01
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/44275
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.13821
dc.rights	Default License
dc.subject	Διαδίκτυο των αντικειμένων	el
dc.subject	Έξυπνο πλέγμα	el
dc.subject	Διαχείριση ενέργειας	el
dc.subject	Τυχαία πεδία Markov	el
dc.subject	Δειγματολήπτης Gibbs	en
dc.subject	Iternet of things	en
dc.subject	Smart grid	en
dc.subject	Energy management	en
dc.subject	Markov random fields	en
dc.subject	Gibbs sampler	en
dc.title	Το έξυπνο πλέγμα διανομής ενέργειας ως κυβερνο-φυσικό σύστημα και σύγκριση αλγορίθμων βελτιστοποίησης κατανάλωσης ενέργειας	el
heal.type	bachelorThesis
heal.classification	Διαχείρηση ενέργειας	el
heal.language	el
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2016-10-24
heal.abstract	Το έξυπνο πλέγμα διανομής ενέργειας ως κυβερνο-φυσικό σύστημα και σύγκριση αλγορίθμων βελτιστοποίησης κατανάλωσης ενέργειας.	el
heal.abstract	his thesis deals with energy optimization in residential facilities, adopting the development of the paradigms of the “SmartΝύ rid” and the Ν“Internet of Things”. Given the existence of the appropriate technological equipment, comparison of two optimization algorithms is carried out, towards reducing energy consumption for the benefit of the user. Specifically, a brief description of the development of the “Internet of Things” and “Smart Grid” is initially provided, as well as a presentation of the challenges arising. Exemplified studies are presented as part of the energy consumption optimization scenario in a modern Smart Grid-Internet of Things environment. Thereafter, this work focuses on the Particle Swarm Optimization algorithm - PSO. Following the mathematical analysis of the algorithm, a study, which has been made on the subject of energy consumption optimization, is given briefly. A similar simulation in MATLAB environment based on a virtual scenario of a smart green home is analyzed and various parameters are examined or assessment of the algorithm’s efficiency, a demanding conditions’layout is studied Therefore, a large scale scenario, where the algorithm is tested in a bigger virtual facility with randomized parameters, is analyzed. Following suit, a similar analysis on an approach based on the theory of Markov Random Fields and the Gibbs sampler is presented. The analysis is also followed by a simulation developed in a MATLAB environment. In the corresponding chapter, a large scale scenario is also examined, similar to the one described in the previous one. Finally, a comparison of algorithms is presented in both small and large scale demonstrations, followed by recommendations and conclusions.	en
heal.advisorName	Παπαβασιλείου, Συμεών	el
heal.committeeMemberName	Βαρβαρίγου, Θεοδώρα	el
heal.committeeMemberName	Ρουσσάκη, Ιωάννα	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών. Τομέας Επικοινωνιών, Ηλεκτρονικής και Συστημάτων Πληροφορικής	el
heal.academicPublisherID	ntua
heal.numberOfPages	82 σ.
heal.fullTextAvailability	true