• 191 Citations
  • 8 h-Index
20112017
If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where Giovanna Adinolfi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
DC-DC converters Engineering & Materials Science
Distributed power generation Engineering & Materials Science
Diodes Engineering & Materials Science
Neural networks Engineering & Materials Science
Fuel cells Engineering & Materials Science
Thin films Engineering & Materials Science
Energy resources Engineering & Materials Science
Electric vehicles Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2011 2017

  • 191 Citations
  • 8 h-Index
  • 9 Paper
  • 4 Article
29 Citations (Scopus)
Support vector machines
prediction
photovoltaic system
forecasting method
methodology
15 Citations (Scopus)

DC nanogrid for renewable sources with modular DC/DC LLC converter building block

Cecati, C., Khalid, H. A., Tinari, M., Adinolfi, G. & Graditi, G., 21 Apr 2017, In : IET Power Electronics. 10, 5, p. 536 - 544 9 p.

Research output: Contribution to journalArticle

DC-DC converters
Electric vehicles
Fuel cells
Office buildings
Photovoltaic cells

Auxiliary services provided by Smart Maximum Power Point Tracking Converters: State of art and implementations

Adinolfi, G., Graditi, G. & Palladino, V., 28 Jul 2016.

Research output: Contribution to conferencePaper

Converter
Microgrid
Distributed power generation
Electronic data interchange
DC-DC converters
25 Citations (Scopus)

Energy yield estimation of thin-film photovoltaic plants by using physical approach and artificial neural networks

Graditi, G., Ferlito, S., Adinolfi, G., Tina, G. M. & Ventura, C., 1 Jun 2016, In : Solar Energy. 130, p. 232 - 243 12 p.

Research output: Contribution to journalArticle

Neural networks
Thin films
Fuzzy inference
Multilayer neural networks
Solar radiation
8 Citations (Scopus)

Performance estimation of a thin-film photovoltaic plant based on an Artificial Neural Network model

Graditi, G., Ferlito, S., Adinolfi, G., Tina, G. M. & Ventura, C., 2014.

Research output: Contribution to conferencePaper

Neural networks
Thin films
Multilayer neural networks
Solar radiation
Radiation