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Comparative analysis of innovative neural networks techniques to forecast Global Horizontal Irradiance with embedded systems

Daniele Fucini

Comparative analysis of innovative neural networks techniques to forecast Global Horizontal Irradiance with embedded systems.

Rel. Edoardo Patti, Andrea Acquaviva, Alessandro Aliberti. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2019

Abstract:
Relators: Edoardo Patti, Andrea Acquaviva, Alessandro Aliberti
Academic year: 2018/19
Publication type: Electronic
Number of Pages: 69
Additional Information: Tesi secretata. Full text non presente
Subjects:
Corso di laurea: Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea: New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/11535
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