World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
4732
World Ranking
8169
National Ranking
303

Overview

Francesco Grimaccia is affiliated with the Polytechnic University of Milan in Italy. Their research primarily spans the field of Engineering, with a focus on Electrical and Electronic Engineering, Artificial Intelligence, Aerospace Engineering, Control and Systems Engineering, and Building and Construction.

The scientist's work covers multiple main research topics, including:

  • Energy Load and Power Forecasting
  • Smart Grid Energy Management
  • Building Energy and Comfort Optimization
  • Neural Networks and Reservoir Computing
  • Neural Networks and Applications
  • Smart Grid Security and Resilience
  • Energy Harvesting in Wireless Networks

Frequent collaboration partners include:

  • Alessandro Niccolai
  • Marco Mussetta
  • Sonia Leva
  • Silvia Trimarchi
  • A. Gandelli

Their publications have appeared regularly in several scientific venues. The most frequent publication outlets comprise:

  • Energies
  • IEEE Journal of Photovoltaics
  • IEEE Access
  • Mathematics
  • Forecasting

Recent papers by Francesco Grimaccia include:

  • "Comparison of echo state network and feed-forward neural networks in electrical load forecasting for demand response programs", 2020, Mathematics and Computers in Simulation
  • "Review of O&M Practices in PV Plants: Failures, Solutions, Remote Control, and Monitoring Tools", 2020, IEEE Journal of Photovoltaics
  • "An Efficient Artificial Intelligence Energy Management System for Urban Building Integrating Photovoltaic and Storage", 2023, IEEE Access
  • "Machine Learning-Based Detection Technique for NDT in Industrial Manufacturing", 2021, Mathematics
  • "Automatic Boundary Extraction of Large-Scale Photovoltaic Plants Using a Fully Convolutional Network on Aerial Imagery", 2020, IEEE Journal of Photovoltaics

The body of work reveals an interest in applying artificial intelligence techniques, including neural networks and machine learning, to problems in energy management, photovoltaic plant operations, and forecasting methods. The scientist's contributions demonstrate an emphasis on integrating AI with energy systems for optimization and operational improvements.

Best Publications

  • Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power

    S. Leva;A. Dolara;F. Grimaccia;M. Mussetta

  • Light Unmanned Aerial Vehicles (UAVs) for Cooperative Inspection of PV Plants

    Paolo Bellezza Quater;Francesco Grimaccia;Sonia Leva;Marco Mussetta

  • A Physical Hybrid Artificial Neural Network for Short Term Forecasting of PV Plant Power Output

    Alberto Dolara;Francesco Grimaccia;Sonia Leva;Marco Mussetta

  • Innovative Automated Control System for PV Fields Inspection and Remote Control

    Mohammadreza Aghaei;Francesco Grimaccia;Carlo A. Gonano;Sonia Leva

  • 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

  • Genetical Swarm Optimization: Self-Adaptive Hybrid Evolutionary Algorithm for Electromagnetics

    F. Grimaccia;M. Mussetta;R.E. Zich

  • Planning for PV plant performance monitoring by means of unmanned aerial systems (UAS)

    F. Grimaccia;M. Aghaei;M. Mussetta;S. Leva

  • Hybrid Predictive Models for Accurate Forecasting in PV Systems

    Emanuele Giovanni Carlo Ogliari;Francesco Grimaccia;Sonia Leva;Marco Mussetta

  • Survey on PV Modules’ Common Faults After an O&M Flight Extensive Campaign Over Different Plants in Italy

    Francesco Grimaccia;Sonia Leva;Alberto Dolara;Mohammadreza Aghaei

  • Performance Analysis of a Single-Axis Tracking PV System

    A. Dolara;F. Grimaccia;S. Leva;M. Mussetta

  • Thermal and Performance Analysis of a Photovoltaic Module with an Integrated Energy Storage System

    Manel Hammami;Simone Torretti;Francesco Grimaccia;Gabriele Grandi

  • PSO as an effective learning algorithm for neural network applications

    E.A. Grimaldi;F. Grimaccia;M. Mussetta;R.E. Zich

  • Development and validation of different hybridization strategies between GA and PSO

    A. Gandelli;F. Grimaccia;M. Mussetta;P. Pirinoli

  • PV plant digital mapping for modules’ defects detection by unmanned aerial vehicles

    Francesco Grimaccia;Sonia Leva;Alessandro Niccolai

  • Hybrid model for hourly forecast of photovoltaic and wind power

    Duong Minh Quan;Emanuele Ogliari;Francesco Grimaccia;Sonia Leva

  • Photovoltaic plants predictive model by means of ANN trained by a hybrid evolutionary algorithm

    Davide Caputo;Francesco Grimaccia;Marco Mussetta;Riccardo E. Zich

  • Hybrid model analysis and validation for PV energy production forecasting

    Alessandro Gandelli;Francesco Grimaccia;Sonia Leva;Marco Mussetta

  • Comparison of echo state network and feed-forward neural networks in electrical load forecasting for demand response programs

    Muhammad Mansoor;Francesco Grimaccia;Sonia Leva;Marco Mussetta

  • Comparison of Training Approaches for Photovoltaic Forecasts by Means of Machine Learning

    Alberto Dolara;Francesco Grimaccia;Sonia Leva;Marco Mussetta

  • Improving Transient Stability in a Grid-Connected Squirrel-Cage Induction Generator Wind Turbine System Using a Fuzzy Logic Controller

    Minh Quan Duong;Francesco Grimaccia;Sonia Leva;Marco Mussetta

  • IR real-time analyses for PV system monitoring by digital image processing techniques

    M. Aghaei;A. Gandelli;F. Grimaccia;S. Leva

Frequent Co-Authors

Marco Mussetta
Marco Mussetta Polytechnic University of Milan
Sonia Leva
Sonia Leva Polytechnic University of Milan
Chris Bingham
Chris Bingham University of Lincoln
Rodolfo Araneo
Rodolfo Araneo Sapienza University of Rome
Gabriele Grandi
Gabriele Grandi University of Bologna
Marco Lovera
Marco Lovera Polytechnic University of Milan

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Engineering and Technology often opens doors to a wide range of interdisciplinary career paths. Many students and professionals are now pursuing enhanced business skills, such as getting an mba in operations management online. This degree is particularly valuable for engineering graduates who want to move into leadership or operations roles within technology-driven companies.

Flexibility is another key concern. Some universities offer an mba online no gmat option, removing traditional test barriers for admission. Cost is also important. Students can find quality programs such as an mba under 35k that provide strong returns on investment while keeping tuition affordable.

For those interested in the fast-growing area of digital communication, social media marketing courses online can complement technical expertise and open doors to new tech-driven marketing and analytics careers. By choosing the right online program, you can tailor your education for better career flexibility and advancements in today’s competitive marketplace.

Best Scientists Citing Francesco Grimaccia

Trending Scientists

Recently Published Articles