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Research

My research interests are transversal to several topics in the multi-disciplinary field of data science, including, but not limited to, instrumentation and data acquisition, public data, machine learning, and information visualization. My research is driven by curiosity, persistence, and a strong desire to leverage the potential of data to address different societal challenges like environmental sustainability and smart cities. A brief outline of my current research topics is provided below.

Performance and Value Proposition of Non-Intrusive Load Monitoring Systems

I am very interested in understanding the real-world applicability of non-intrusive energy monitoring and eco-feedback technologies and my goals in this research field are twofold: i), assess how such technologies perform from a technological point of view (e.g., algorithms performance) when deployed outside of the laboratory settings, and ii) determine the value proposition of such technologies as tools for smartening the electric energy grid hence reducing its carbon footprint.

Integration of Renewable Energy Sources (RES) and Electric Vehicles (EV)

Under this topic,  my research goals are three-fold: i) understand how individual appliance consumption data, daily routines, and Battery Energy Storage Systems (BESS) can be leveraged to maximise the self-consumption from RES in households and small businesses, ii) understand how driving and daily routines, individual appliance consumption data, and BESS can be leveraged to develop frameworks for charging EVs in individual households and residential buildings, and iii) understand how BESS and EVs can be combined to mitigate voltage and frequency control issues that may occur due to the intermittent nature of RES.

Interests

  • Smart Grids
  • Computational Sustainability
  • Water-Food-Energy-Transport Nexus
  • Real-world Deployments
  • Performance Evaluation
  • Public Datasets and Data Formats
  • Internet Mediated Research
  • End-user Acceptance and Engagement

Resources

Further Energy and Environment research Laboratory

I am currently leading the Further Energy and Environment research Laboratory (FEELab), at ITI/LARSyS.

In FEELab we FEEL the need for a more sustainable planet, as such the main focus of this research group is to work towards addressing the different societal challenges under the UN Sustainable Development Goals. We do this by leveraging the potential of computer science, data science, and human-computer interaction research.

FEELab Members

LuĂ­sa Barros

LuĂ­sa Barros

PhD Student (@ University of Madeira)

Smart Grid: Smart Charging of Electric Vehicles in Isolated Grids Follow
Eduardo Gomes

Eduardo Gomes

Research Assistant

Smart Grid | Machine Learning: Deep Learning Approaches for Smart Energy Systems Follow
Vitor Aguiar

Vitor Aguiar

Research Assistant

Water-Energy-Food-Transportation Nexus: Sensing and Data Acquisition for Sustainable Resource Consumption in Industrial Kitchens Follow
Fábio Vasconcelos

Fábio Vasconcelos

Research Assistant

Water-Energy-Food-Transportation Nexus: Data Analytics for Sustainable Resource Consumption in Industrial Kitchens Follow
Dino Vasconcelos

Dino Vasconcelos

MSc Student (@ University of Madeira)

Smart Grid: Smart Charging of Electric Vehicles in Domestic Environments Follow
Donovan Costa

Donovan Costa

MSc Student (@ University of Madeira)

Public Datasets and Data Formats | Internet Mediated Research: Semi-automatic Collaborative Labeling of NILM Datasets Follow
Fayaz Ahmed

Fayaz Ahmed

MSc Student (@ TĂ©cnico Lisboa)

Performance Evaluation: Value Proposition of Disaggregated Electricity Data Follow
Manuel Pereira

Manuel Pereira

Research Intern

Public Datasets and Data Formats: dsCleaner - A Python Library to Clean, Pre-process and Convert Non-Intrusive Load Monitoring Datasets Follow
Michael Cavaleiro

Michael Cavaleiro

Research Intern

Internet Mediated Research | Smart Grid: sen7io - Internet and the 7th sense Follow
Nuno Velosa

Nuno Velosa

Research Intern

Public Datasets and Data Formats: EMD-DF - Energy Monitoring and Disaggregation Data Format Follow
Zita Abreu

Zita Abreu

Research Intern

Smart Grid: Privacy Protection in Smart-Metering Follow

FEELab is constituted by a team of bright, young, and talented students and researchers.

Interested in collaborating? Drop me an email.

Research Grants

So far, my research in collaboration with other members from M-ITI / LARSYS and prsma.com, has led to the successful application of four Research & Development grants.

Currently Funded Projects

  • SMILE

    SMart IsLand Energy systems

    Role: Co-PI at prsma.com,

    Web: http://www.h2020smile.eu/

    Duration: May 2017 to April 2021

    Funding Agency: EU / H2020-LCE-2016-SGS

    Reference: 731249

    Total Funding: ~12M €

Previously Funded Projects

  • FIK

    Design of industrial kitchen of the future: innovation with Internet of Things (IoT) and active intelligent technologies

    Role: Senior researcher

    Duration: October 2018 to September 2019

    Funding Agency: Madeira 14-20 / FEDER

    Reference: M1420-01-0247-FEDER-000018

    Total Funding: ~431k €

  • Energy Spectrum

    Market uptake of an innovative Non-intrusive Appliance Load Monitoring (NIALM) to enlarge ENERGY efficiency SPECTRUM to comprise the families factor

    Role: Data Science Lead at prsma.com

    Web: https://sme.easme-web.eu/beneficiary/927110481?b=927110481

    Duration: February 2016 to July 2016

    Funding Agency: EU / H2020-SMEINST-1-2015

    Reference: 710936

    Total Funding: ~71k €

  • SmartSolar

    Smart Solar Energy Management and Monitoring

    Role: Senior Researcher

    Duration: September 2014 to August 2015

    Funding Agency: Madeira Region II / + Conhecimento II

    Reference: MADFDR-01- 0190-FEDER-000015