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G. D’Amico

28 papers hereh-index 211.5k citations169 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author25
  • middle author2

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • q-fin.ST9
  • physics.data-an8
  • q-fin.PR2
  • econ.EM1
  • eess.SY1
  • math.PR1
same name
  • G. D’Amico — 59 papers, h 33
  • G. D’Amico — 8 papers, h 4
  • G. D’Amico — 2 papers, h 5
  • G. D’Amico — 1 paper, h 1
  • G. D’Amico — 1 paper, h 0
  • G. d’aMico — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20112025
most citedFirst and second order semi-Markov chains for wind speed modeling

87 citations · 266 across the 25 of their papers we have counts for

collaborators
Showing 2013 · physics.data-anShow all

3 papers · 2 filters

physics.data-an2013★ 4 cited

Forecasting wind speed financial return

Guglielmo D'Amico, Filippo Petroni, Flavio Prattico

The prediction of wind speed is very important when dealing with the production of energy through wind turbines. In this paper, we show a new nonparametric model, based on semi-Mar…

physics.data-an2013★ 1 cited

Reliability measures for indexed semi-Markov chains applied to wind energy production

Guglielmo D'Amico, Filippo Petroni, Flavio Prattico

The computation of the dependability measures is a crucial point in the planning and development of a wind farm. In this paper we address the issue of energy production by wind tur…

physics.data-an2013★ 53 cited

Wind speed forecasting at different time scales: a non parametric approach

Guglielmo D'Amico, Filippo Petroni, Flavio Prattico

The prediction of wind speed is one of the most important aspects when dealing with renewable energy. In this paper we show a new nonparametric model, based on semi-Markov chains,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.