Anthony Faustine

2025

Journal

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

2025

Conference

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

2025

Journal

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

2024

Conference

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

2023

Journal

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

2022

Journal

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

2021

Journal

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

2021

Journal

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

2020

Journal

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

2020

Journal

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

2017

Journal

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

2014

Journal

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

2014

Journal

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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