Fabiano Pallonetto at National University of Ireland, Maynooth - Research Interests, Publications & Academic Profile

Fabiano Pallonetto

Professor

National University of Ireland, Maynooth

Ireland

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Research Interests

Energy Engineering

100%

Environmental Economics

20%

Energy Economics

40%

Energy Consumption

40%

Distributed Energy

40%

Hvac Engineering

20%

Clean Energy

20%

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Articles14

Cutting-edge developments in active and passive photovoltaic cooling for reduced temperature operation

Article Link

Year:

2024

A micro-credential approach for life-long learning in the urban renewable energy sector

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Year:

2024

District energy modelling for decarbonisation strategies development—The case of a University campus

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Year:

2024

Unveiling the Potential Pattern Representation of RNA 5-Methyluridine Modification Sites Through a Novel Feature Fusion Model Leveraging Convolutional Neural Network and Tetranucleotide Composition

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Year:

2024

A Bayesian deep-learning framework for assessing the energy flexibility of residential buildings with multicomponent energy systems

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Year:

2023

Technologies and Strategies to Support Energy Transition in Urban Building and Transportation Sectors

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Year:

2023

Enhancing the Efficiency of Electric Vehicles Charging Stations Based on Novel Fuzzy Integer Linear Programming

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Year:

2023

Diversification, concentration and renewability of the energy supply in the European Union

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Year:

2022

An ensemble learning-based framework for assessing the energy flexibility of residential buildings with multicomponent energy systems

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Year:

2022

Forecast electricity demand in commercial building with machine learning models to enable demand response programs

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Year:

2022

Spine Toolbox: A flexible open-source workflow management system with scenario and data management

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Year:

2022

Environmental and economic benefits of building retrofit measures for the residential sector by utilizing sensor data and advanced calibrated models

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Year:

2022

A fundamental unified framework to quantify and characterise energy flexibility of residential buildings with multiple electrical and thermal energy systems

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Year:

2021

Impact of intelligent control algorithms on demand response flexibility and thermal comfort in a smart grid ready residential building

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Year:

2021

Collaborators11

Mohammad Saffari

Assistant professor

Dublin City University

IRELAND

Henrik Barth

Associate Professor

Halmstad University

SWEDEN

John G. Breslin

University of Galway

IRELAND

Carlos Vargas-Salgado

Professor

Universitat Politècnica de València

SPAIN

Iasonas Kouveliotis Lysikatos

KTH Royal Institute of Technology

SWEDEN

Eleni Mangina

Professor & VP (International) College of Science

Dublin City University

IRELAND

Shahid Hussain

National University of Ireland, Maynooth

IRELAND

Patricia Pereira da Silva

Professor

University of Coimbra

PORTUGAL

Mattia De Rosa

Assistant Professor

University of Sassari

ITALY

Donal P. Finn

Dublin City University

IRELAND

Lorenzo De Donatis

IRELAND

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