World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
35
Citations
4861
World Ranking
5592
National Ranking
238

Overview

Marco Mussetta is affiliated with the Polytechnic University of Milan in Italy. Their research primarily focuses on engineering, with a significant contribution to electrical and electronic engineering, artificial intelligence, renewable energy, sustainability, environmental engineering, and control and systems engineering.

The scientist's work centers on several key topics, including:

  • Energy Load and Power Forecasting
  • Photovoltaic System Optimization Techniques
  • Microgrid Control and Optimization
  • Solar Radiation and Photovoltaics
  • Neural Networks and Reservoir Computing
  • Neural Networks and Applications
  • Hydrological Forecasting Using AI

Marco Mussetta has published extensively in several scientific venues. Frequent publication outlets include:

  • Mathematics
  • Forecasting
  • IEEE Access
  • Energies
  • Electronics

Recent notable papers feature the following:

  • "Comparison of echo state network and feed-forward neural networks in electrical load forecasting for demand response programs" (2020, Mathematics and Computers in Simulation)
  • "Machine Learning-Based Detection Technique for NDT in Industrial Manufacturing" (2021, Mathematics)
  • "Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks" (2022, Forecasting)
  • "A Selective Ensemble Approach for Accuracy Improvement and Computational Load Reduction in ANN-Based PV Power Forecasting" (2022, IEEE Access)
  • "Multiple Site Intraday Solar Irradiance Forecasting by Machine Learning Algorithms: MGGP and MLP Neural Networks" (2020, Energies)

Collaboration is an important aspect of Marco Mussetta's research. Frequent co-authors include:

  • Francesco Grimaccia
  • Alessandro Niccolai
  • Sonia Leva
  • Alfredo Nespoli
  • Emanuèle Ogliari

Best Publications

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

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

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

    Alberto Dolara;Francesco Grimaccia;Sonia Leva;Marco Mussetta

  • 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

  • Metaheuristic Algorithm for Photovoltaic Parameters: Comparative Study and Prediction with a Firefly Algorithm

    Mohamed Louzazni;Ahmed Khouya;Khalid Amechnoue;Alessandro Gandelli

  • Performance Analysis of a Single-Axis Tracking PV System

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

  • PSO as an effective learning algorithm for neural network applications

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

  • Differentiated Meta-PSO Methods for Array Optimization

    S. Selleri;M. Mussetta;P. Pirinoli;R.E. Zich

  • The Optimum PV Plant for a Given Solar DC/AC Converter

    Roberto S. Faranda;Hossein Hafezi;Sonia Leva;Marco Mussetta

  • Modified Compact Genetic Algorithm for Thinned Array Synthesis

    Bui Van Ha;Marco Mussetta;Paola Pirinoli;Riccardo Zich

  • Hybrid model for hourly forecast of photovoltaic and wind power

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

  • Some Insight Over New Variations of the Particle Swarm Optimization Method

    S. Selleri;M. Mussetta;P. Pirinoli;R. E. Zich

  • 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

  • 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

  • A new hybrid genetical-swarm algorithm for electromagnetic optimization

    E.A. Grimaldi;F. Grimaccia;M. Mussetta;P. Pirinoli

  • A Comparative Study on Controllers for Improving Transient Stability of DFIG Wind Turbines During Large Disturbances

    Minh Quan Duong;Sonia Leva;Marco Mussetta;Kim Hung Le

  • Architecture and Methods for Innovative Heterogeneous Wireless Sensor Network Applications

    Pedro Antonio;Francesco Grimaccia;Marco Mussetta

  • PV Module Fault Diagnosis Based on Microconverters and Day-Ahead Forecast

    Sonia Leva;Marco Mussetta;Emanuele Ogliari

  • ANN Sizing Procedure for the Day-Ahead Output Power Forecast of a PV Plant

    Francesco Grimaccia;Sonia Leva;Marco Mussetta;Emanuele Ogliari

Frequent Co-Authors

Sonia Leva
Sonia Leva Polytechnic University of Milan
Ladislau Matekovits
Ladislau Matekovits Polytechnic University of Turin
Nader Engheta
Nader Engheta University of Pennsylvania
Jean-Michel Nunzi
Jean-Michel Nunzi Queen's University

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