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ANTONINO D'AMICO

Curriculum e ricerca

D'AMICO ANTONINO

ANTONINO D'AMICO

 

Ingegneria

Contatti

antonino.damico01@unipa.it

Curriculum non disponibile

Insegnamenti

Anno accademico Codice della materia Nome della materia CFU Corso di studi
2020/2021 19490 FISICA TECNICA ED IMPIANTI TERMOTECNICI 6 INGEGNERIA DELLA SICUREZZA

Pubblicazioni

Data Titolo Tipologia Scheda
2020 Convolutional Neural Network for Dust and Hotspot Classification in PV Modules Articolo in rivista Vai
2020 Regression analysis to design a solar thermal collector for occasional use Articolo in rivista Vai
2020 Multi-energy school system for seasonal use in the mediterranean area Articolo in rivista Vai
2020 Multiple criteria assessment of methods for forecasting building thermal energy demand Articolo in rivista Vai
2019 Building energy demand assessment through heating degree days: The importance of a climatic dataset Articolo in rivista Vai
2019 Application of optimized artificial intelligence algorithm to evaluate the heating energy demand of non-residential buildings at European level Articolo in rivista Vai
2019 Building energy performance forecasting: A multiple linear regression approach Articolo in rivista Vai
2019 Results of a literature review on methods for estimating buildings energy demand at district level Articolo in rivista Vai
2019 Artificial Neural Networks to assess energy and environmental performance of buildings: An Italian case study Articolo in rivista Vai
2019 Modelling and analysis of real-world wind turbine power curves: Assessing deviations from nominal curve by neural networks Articolo in rivista Vai
2018 Environmental and energy performances of a newly installed Dish-Stirling Concentrating Solar Power plant based in Palermo Contributo in atti di convegno pubblicato in volume Vai
2017 Evaluation of building heating loads with dimensional analysis: application of the Buckingham π theorem Articolo in rivista Vai
2016 Numerical assessment of heating energy demand for office buildings in Italy Contributo in atti di convegno pubblicato in volume Vai
2016 Modelling relationship among energy demand, climate and office building features: A cluster analysis at European level Articolo in rivista Vai