A
Alessandro Gandelli
Researcher at Polytechnic University of Milan
Publications - 86
Citations - 693
Alessandro Gandelli is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Wireless sensor network & Wavelet. The author has an hindex of 14, co-authored 83 publications receiving 609 citations. Previous affiliations of Alessandro Gandelli include University of Queensland.
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Journal ArticleDOI
Metaheuristic Algorithm for Photovoltaic Parameters: Comparative Study and Prediction with a Firefly Algorithm
Mohamed Louzazni,Ahmed Khouya,Khalid Amechnoue,Alessandro Gandelli,Marco Mussetta,Aurelian Craciunescu +5 more
TL;DR: In this article, a Firefly algorithm is proposed for identification and comparative study of five, seven and eight parameters of a single and double diode solar cell and photovoltaic module under different solar irradiation and temperature.
Proceedings ArticleDOI
Development and validation of different hybridization strategies between GA and PSO
TL;DR: The Genetical Swarm Optimization (GSO) approach is presented here with respect with different test cases to prove its effectiveness and is tested for various benchmark problems, analyzing different computational costs, and finally reporting some numerical results.
Proceedings ArticleDOI
IR real-time analyses for PV system monitoring by digital image processing techniques
TL;DR: Results have proven that digital image processing technique is very useful and reliable for IR-image analysis to identify possible defects during the PV module inspection procedure.
Proceedings ArticleDOI
Hybrid model analysis and validation for PV energy production forecasting
TL;DR: A computing-based hybrid approach is proposed for PV energy forecasting in view of optimal usage and management of RES in future smart grid applications and the accuracy of the two methods has been studied.
Genetical Swarm Optimization: an Evolutionary Algorithm for Antenna Design
TL;DR: A new effective optimization algorithm called Genetical Swarm Optimization (GSO) is presented, an hybrid algorithm developed in order to combine in the most effective way the properties of two of the most popular evolutionary optimization approaches now in use for the optimization of electromagnetic structures.