Implementing supervised learning techniques to design a decentralized control strategy for Electric Prosumer Communities

Daniele Marulli

Implementing supervised learning techniques to design a decentralized control strategy for Electric Prosumer Communities.

Rel. Filippo Spertino. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Energetica E Nucleare, 2018

Preview

PDF (Tesi_di_laurea) - Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives.
Download (1MB) | Preview

Abstract:
Relators:	Filippo Spertino
Academic year:	2018/19
Publication type:	Electronic
Number of Pages:	65
Subjects:
Corso di laurea:	Corso di laurea magistrale in Ingegneria Energetica E Nucleare
Classe di laurea:	New organization > Master science > LM-30 - ENERGY AND NUCLEAR ENGINEERING
Ente in cotutela:	ULG - Université de Liège (BELGIO)
Aziende collaboratrici:	UNSPECIFIED
URI:	http://webthesis.biblio.polito.it/id/eprint/8723

Modify record (reserved for operators)