Fabiano Pallonetto

发表

Demand response algorithms for smart-grid ready residential buildings using machine learning models

Federico Milano, Donal Finn, Mattia De Rosa, 2019, Applied Energy.

A restful API to control a energy plus smart grid-ready residential building: demo abstract

Donal Finn, Eleni E. Mangina, Fabiano Pallonetto, 2014, BuildSys@SenSys.

SimApi, a smartgrid co-simulation software platform for benchmarking building control algorithms

Federico Milano, Eleni Mangina, Donal Finn, 2019, SoftwareX.

Definition of a useful minimal-set of accurately-specified input data for Building Energy Performance Simulation

James O'Donnell, Donal Finn, Fabiano Pallonetto, 2018 .

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

Eleni Mangina, Donal Finn, Fabiano Pallonetto, 2021 .

Self-Learning Control Algorithms for Energy Systems Integration in the Residential Building Sector

Eleni Mangina, Fabiano Pallonetto, Mohammad Saffari, 2019, 2019 IEEE 5th World Forum on Internet of Things (WF-IoT).

High Resolution Space - Time Data: Methodology for Residential Building Simulation Modelling

Damian Flynn, Donal Finn, Fabiano Pallonetto, 2013 .

On the assessment and control optimisation of demand response programs in residential buildings

Francesco D’Ettorre, Donal Finn, Fabiano Pallonetto, 2020, Renewable and Sustainable Energy Reviews.

The effect of time-of-use tariffs on the demand response flexibility of an all-electric smart-grid-ready dwelling

Federico Milano, Donal Finn, Fabiano Pallonetto, 2016 .

A Generic Energy Flexibility Evaluation Framework to Characterise the Demand Response Potential of Residential Buildings

Eleni Mangina, Mohammad Saffari, Fabiano Pallonetto, 2020 .

A Framework for Analysis and Expansion of Public Charging Infrastructure under Fast Penetration of Electric Vehicles

Simone Vantini, Marta Galvani, Fabiano Pallonetto, 2020 .

LESSONS LEARNED FROM THE USE OF THE SLIDEWIKI OPENCOURSEWARE PLATFORM IN DIFFERENT LEARNING CONTEXTS

Eleni Mangina, Alexander Mikroyannidis, Christos Panagiotakopoulos, 2018, ICERI2018 Proceedings.

A self-learning energy management system for a smart-grid-ready residential building

Donal Finn, Eleni E. Mangina, Fabiano Pallonetto, 2015, SimuTools.

A Genetic Algorithm for a Green Vehicle Routing Problem

Paula Carroll, Stefano Mauceri, Fabiano Pallonetto, 2017, Electron. Notes Discret. Math..

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

Fabiano Pallonetto, Mattia De Rosa, Donal P. Finn, 2021 .

Predicting vehicles parking behaviour in shared premises for aggregated EV electricity demand response programs pdf

Chiara Renso, Vinicius Monteiro de Lira, Fabiano Pallonetto, 2021, ArXiv.

Exploring the Demand Response Potential of a Smart-Grid Ready House Using Building Simulation Software

Donal Finn, Fabiano Pallonetto, Simos Oxizidis, 2014 .