Anthony Faustine

Journal 2025

Submitted

Anthony Faustine, Ethna O Connor, Dr Tupokigwe Isagah, and Dr Kevin Byrne

Strategic Management of AI Investments: A Dynamic Capabilities and Business Model Innovation Perspective

Journal of Strategic Information Systems

Artificial Intelligence (AI) promises substantial returns in organisations, motivating firms to cons ...

strategy innovation technology

Conference 2025

Published

Anthony Faustine and Pereira, Lucas

Enhancing LV system resilience through probabilistic forecasting of interdependent variables: voltage, reactive and active power

CIRED Chicago Workshop 2024: Resilience of Electric Distribution Systems

This paper presents a probabilistic forecasting approach tailored for low voltage (LV) substations, ...

forecasting probabilistic machine learning low voltage network

Featured

Journal 2025

Published

Anthony Faustine and Nuno Jardim Nunes and Lucas Pereira

Efficiency through Simplicity: MLP-based Approach for Net-Load Forecasting with Uncertainty Estimates in Low-Voltage Distribution Networks

IEEE Transactions on Power Systems , Vol. 40, No. 1 , pp. 46-5

Power demand forecasting is becoming a crucial tool for the planning and operation of Low Voltage (L ...

forecasting machine learning probabilistic low voltage networks

Conference 2024

Published

Anthony Faustine and Pereira, Lucas

Conformal Multilayer Perceptron-Based Probabilistic Net-Load Forecasting for Low-Voltage Distribution Systems with Photovoltaic Generation

2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Oslo, Norway

This paper presents a probabilistic forecasting approach tailored for low voltage (LV) substations, ...

forecasting probabilistic machine learning low voltage network

Journal 2024

Published

Anthony Faustine

Maximising AI Value: Strategic Approaches and Practical Frameworks for Organisational Success

Arrow@TU Dublin

Artificial intelligence adoption has accelerated across industries, yet many organisations struggle ...

artificial intelligence strategy organisations AI adoption frameworks

Conference 2023

Published

Anthony Faustine and Pereira, Lucas

Applying symmetrical component transform for industrial appliance classification in non-intrusive load monitoring

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes Island, Greece

Industrial non-intrusive load monitoring (NILM) presents unique challenges compared to residential s ...

nilm industrial signal processing appliance classification symmetrical components

Journal 2023

Published

Hafsa Bousbiat, Anthony Faustine, Christoph Klemenjak, Lucas Pereira and Wilfried Elmenreich

Unlocking the Full Potential of Neural NILM: On Automation, Hyperparameters and Modular Pipelines

IEEE Transactions on Industrial Informatics , Vol. 19, No. 5 , pp. 7002-7010

Nonintrusive load monitoring (NILM) techniques are increasingly becoming a key instrument for identi ...

nilm machine learning mlops disaggregation

Conference 2022

Published

Manca, Matteo and Anthony Faustine and Pereira, Lucas

Appliance recognition with combined single- and multi-label approaches

7th International Workshop on Non-Intrusive Appliance Load Monitoring (NILM@BuildSys 2022), Boston, MA, USA

Appliance recognition in non-intrusive load monitoring (NILM) is typically framed as either a single ...

nilm multi-label learning appliance recognition energy disaggregation

Journal 2022

Published

Anthony Faustine and Pereira, Lucas

FPSeq2Q: Fully Parameterized Sequence to Quantile Regression for Net-Load Forecasting With Uncertainty Estimates

IEEE Transactions on Smart Grid , Vol. 13, No. 3 , pp. 2440-2451

The increased penetration of Renewable Energy Sources (RES) as part of a decentralized and distribut ...

forecasting machine learning probabilistic low voltage network

Journal 2021

Published

Anthony Faustine and Pereira, Lucas and Klemenjak, Christoph

Adaptive Weighted Recurrence Graphs for Appliance Recognition in Non-Intrusive Load Monitoring

IEEE Transactions on Smart Grid , Vol. 12, No. 1 , pp. 398-406

To this day, hyperparameter tuning remains a cumbersome task in Non-Intrusive Load Monitoring (NILM) ...

nilm load recognition machine learning disaggregation

Journal 2021

Published

Völker, Benjamin, Reinhardt, Andreas, Anthony Faustine and Pereira, Lucas

Watt’s up at Home? Smart Meter Data Analytics from a Consumer-Centric Perspective

Energies , Vol. 14, No. 3

The key advantage of smart meters over traditional metering devices is their ability to transfer con ...

nilm machine learning disaggregation

Journal 2020

Published

Anthony Faustine and Pereira, Lucas

Improved Appliance Classification in Non-Intrusive Load Monitoring Using Weighted Recurrence Graph and Convolutional Neural Networks

Energies , Vol. 13, No. 13

Appliance recognition is one of the vital sub-tasks of NILM in which a machine learning classier is ...

nilm load recognition machine learning dissagregation

Journal 2020

Published

Anthony Faustine and Pereira, Lucas

Multi-Label Learning for Appliance Recognition in NILM Using Fryze-Current Decomposition and Convolutional Neural Network

Energies , Vol. 13, No. 16 , pp. 1996-1073

The advance in energy-sensing and smart-meter technologies have motivated the use of a Non-Intrusive ...

nilm load recognition machine learning dissagregation

Conference 2020

Published

Anthony Faustine and Pereira, Lucas and Bousbiat, Hafsa and Kulkarni, Shridhar

UNet-NILM: A deep neural network for multi-tasks appliances state detection and power estimation in NILM

5th International Workshop on Non-Intrusive Appliance Load Monitoring (NILM), BuildSys 2020, Virtual

Non-Intrusive Load Monitoring (NILM) is the task of decomposing aggregate power consumption into ind ...

nilm deep learning appliance detection energy disaggregation multi-task learning

Conference 2020

Published

Anthony Faustine and Pereira, Lucas and Ngondya, Isakwisa and Benabbou, Loubna

Leveraging Machine Learning for Sustainable and Self-sufficient Energy Communities

Workshop on AI for Earth Sciences, ICML 2020, Virtual

Energy communities — groups of households and businesses that share local renewable energy resources ...

machine learning energy communities sustainable energy self-sufficiency demand response

Journal 2019

Published

Klemenjak, Christoph and Anthony Faustine and Makonin, Stephen and Elmenreich, Wilfried

On metrics to assess the transferability of machine learning models in non-intrusive load monitoring

Energy Informatics , Vol. 2, No. 1 , pp. 1-15

Non-intrusive load monitoring (NILM) research has produced a rich body of machine learning approache ...

nilm machine learning transfer learning load monitoring

Journal 2017

Published

Anthony Faustine, Nerey Henry Mvungi, Shubi Kaijage and Kisangiri Michael

A Survey on Non-Intrusive Load Monitoring Methodies and Techniques for Energy Disaggregation Problem

CoRR

The rapid urbanization of developing countries coupled with explosion in construction of high rising ...

nilm machine learning disaggregation

Journal 2016

Published

Anthony Faustine and Gabriel, M. and Shao, B.

Open source cellular technologies for cost effective cellular connectivity in rural areas

International Journal of Computer Applications (IJCA) , Vol. 145, No. 11 , pp. 1-6

Rural communities in developing regions continue to face significant barriers to cellular connectivi ...

cellular networks rural connectivity open source telecommunications

Journal 2014

Published

Anthony Faustine and Aloys N. Mvuma

Ubiquitous Mobile Sensing for Water Quality Monitoring and Reporting within Lake Victoria Basin

Wireless Sensor Network , Vol. 6, No. 12 , pp. 257-264

As the human population growth and industry pressure in most developing countries continue to increa ...

wsn iot water quality

Journal 2014

Published

Anthony Faustine, Aloys N. Mvuma, Hector J. Mongi, Maria C. Gabriel, Albino J. Tenge and Samuel B. Kucel

Wireless Sensor Networks for Water Quality Monitoring and Control within Lake Victoria Basin: Prototype Development

Wireless Sensor Network , Vol. 6, No. 12 , pp. 281-90

The need for effective and efficient monitoring, evaluation and control of water quality in Lake Vic ...

wsn iot water quality

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