Tecniche di soft computing per riconoscimento di anomalie : una prima analisi

A.G.B. Tettamanzi , A. Azzini , M. De Felice
Workshop Italiano di Vita Artificiale e Computazione Evolutiva

2009
2012
Approximate analytic solutions to the isothermal Lane–Emden equation

R. Iacono , M. De Felice
Celestial Mechanics and Dynamical Astronomy 118 ( 3) 291 -298

5
2014
Climate and Energy Production – A Climate Services Perspective

P.M. Ruti , M. De Felice
Reference Module in Earth Systems and Environmental Sciences#R##N#Climate Vulnerability#R##N#Understanding and Addressing Threats to Essential Resources 3 117 -121

1
2013
Optimizing the start-up operations of combined cycle power plants using soft computing methods

I. Bertini , M. De Felice , A. Pannicelli , S. Pizzuti
Logic Journal of the IGPL 20 ( 4) 648 -656

5
2012
Constructing analytic approximate solutions to the Lane–Emden equation

R. Iacono , M. De Felice
Physics Letters A 379 ( 32) 1802 -1807

3
2015
Advancing climate services for the European renewable energy sector through capacity building and user engagement

C.M. Goodess , A. Troccoli , C. Acton , J.A. Añel
Climate Services 16 100139

9
2019
Evolutionary algorithms for the identification of structural systems in earthquake engineering

Pietro Simone Oliveto , Matteo De Felice , Anastasia Athanasiou , Giuseppe Oliveto
international conference on evolutionary computation theory and applications 52 -62

7
2011
Photovoltaics merging with the active integrated grid: Grid integration white paper of the EU PV technology platform, working group on grid integration.

Venizelos Efthymiou , Giorgio Graditi , Mari Juel , Matteo De Felice
European Technology and Innovation Platform Photovoltaics

1
2017
Climate data and the energy sector: the ECEM experience

Lucien Wald , Matteo De Felice , Hazel Thornton , Sandra Claudel
EGUGA 13761

2017
Artificial Neural Networks and Support Vector Machines ensembling: a comparison

Stefano Pizzuti , Matteo De Felice , Gianluca Treppo
Workshop Italiano di Vita Artificiale e Computazione Evolutiva

2008
A Comparison between Nature-Inspired and Machine Learning Approaches to Detecting Trend Reversals in Financial Time Series.

Andrea G. B. Tettamanzi , Matteo De Felice , Matteo De Felice , Antonia Azzini
Natural Computing in Computational Finance (4) 39 -59

1
2012
Influence of climate change on hydropower plants electricity production

Matteo De Felice , B. Popa , R. Roman
UPB Scientific Bulletin, Series D: Mechanical Engineering 76

2014
Linking precipitation, evapotranspiration and soil moisture content for the improvement of predictability over land

Matteo De Felice , Franco Catalano , Andrea Alessandri
EGU General Assembly Conference Abstracts

2013
Power Grids and Climate Information: supporting transmission system operators

Matteo De Felice , Franco Catalano , Andrea Alessandri
EGU General Assembly Conference Abstracts 5966

2015
Application of seasonal climate forecasts for electricity demand forecasting: a case study on Italy

Matteo De Felice , Franco Catalano , Andrea Alessandri
EGU General Assembly Conference Abstracts

2013
Significant contribution of realistic vegetation representation to improved simulation and prediction of climate anomalies over land

Bart van den Hurk , Francisco Doblas-Reyes , Matteo De Felice , Paul Miller
EGU General Assembly Conference Abstracts 13878

2015