F
Francesco Grimaccia
Researcher at Polytechnic University of Milan
Publications - 161
Citations - 3152
Francesco Grimaccia is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Evolutionary algorithm & Multi-swarm optimization. The author has an hindex of 27, co-authored 153 publications receiving 2476 citations. Previous affiliations of Francesco Grimaccia include Instituto Politécnico Nacional & Polytechnic University of Turin.
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Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power
TL;DR: The hourly energy prediction covers all the daylight hours of the following day, based on 48źhours ahead weather forecast, very important due to the predictive features requested by smart grid application: renewable energy sources planning, in particular storage system sizing, and market of energy.
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Light Unmanned Aerial Vehicles (UAVs) for Cooperative Inspection of PV Plants
TL;DR: This study explores and evaluates the use of different UAV technologies and proposes a reliable, cost-effective, and time-saving method for the inspection of PV plants by using light unmanned aerial vehicles (UAVs) or systems (UASs) during their operation and maintenance.
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A Physical Hybrid Artificial Neural Network for Short Term Forecasting of PV Plant Power Output
TL;DR: In this paper, a new hybrid method called PHANN based on an Artificial Neural Network (ANN) and PV plant clear sky curves is proposed and compared with a standard ANN method, which can play a fundamental role in solving problems related to renewable energy source (RES) integration in smart grids.
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Pitch angle control using hybrid controller for all operating regions of SCIG wind turbine system
Minh Quan Duong,Minh Quan Duong,Francesco Grimaccia,Sonia Leva,Marco Mussetta,Emanuele Ogliari +5 more
TL;DR: In this paper, a hybrid controller based on PI and fuzzy technique for the pitch angle controller has been presented for smoothing output power fluctuations in Squirrel-Cage Induction Generator Wind Turbine (SCIG WT).
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Innovative Automated Control System for PV Fields Inspection and Remote Control
TL;DR: First results of this work have proven that the proposed procedure is very promising being fast, cost effective, and adaptable to large PV plants, which can be controlled during their entire lifetime.