Fabio Mottola

Associate Professor

University of Naples Federico II

Italy

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Fabio Mottola is an Associate Professor at the University of Naples Federico II, Italy. His research areas encompass community energy storage systems, renewable energy monitoring through IoT, optimization in smart railway traction systems, and advanced strategies for voltage regulation in power systems. He has contributed to various studies on battery energy storage and network flexibility, focusing on the integration of renewable energy sources.

Articles (18)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2022

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2022

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2021

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2021

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2021

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2020

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2020

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2020

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2020

Collaborators (5)

Luigi Pio Di Noia

University of Naples Federico II

ITALY

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Paola Verde

ITALY

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Annalisa Liccardo

Professor

University of Naples Federico II

ITALY

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Giorgio Maria Giannuzzi

Head

ITALY

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Mario Pagano

University of Naples Federico II

ITALY

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Fabio Mottola

Research Interests

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About

Articles (18)

Sizing of community energy storage system for the provision of primary frequency regulation

Real-Time Monitoring of Energy Contributions in Renewable Energy Communities Through an IoT Measurement System

Multi-Objective Optimization for Lightning Protection in Distribution Networks: A Novel Approach Based on Design of Experiments

Optimal Allocation of Layover Time in a Smart DC Railway Metro Traction System

Local Energy Community to Support Hydrogen Production and Network Flexibility

Probabilistic planning of a battery energy storage system in a hybrid microgrid based on the Taguchi arrays

An advanced secondary voltage control strategy for future power systems

Linear Quadratic Gaussian Integral Control for Secondary Voltage Regulation

Optimal Motion of a Rolling Stock Fleet Under Traction Power System Constraints

Probabilistic Description of the State of Charge of Batteries Used for Primary Frequency Regulation

Real Time Scheduling of a Microgrid Equipped with Ultra-Fast Charging Stations

Online analysis and prediction of the inertia in power systems with renewable power generation based on a minimum variance harmonic finite impulse response filter

Bayesian bootstrapping in real-time probabilistic photovoltaic power forecasting

Estimating Wind Farm Transformers Rating through Lifetime Characterization Based on Stochastic Modeling of Wind Power

Power Flow Approach for Modeling Shipboard Power System in Presence of Energy Storage and Energy Management Systems

Planning of Distributed Energy Storage Systems in μGrids Accounting for Voltage Dips

Parametric and statistical investigations of lightning-induced voltages on overhead lines by exact analytical solutions

On-Line Estimation Assessment of Power Systems Inertia With High Penetration of Renewable Generation

Collaborators (5)

Luigi Pio Di Noia

Paola Verde

Annalisa Liccardo

Giorgio Maria Giannuzzi

Mario Pagano

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