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About

About

Associate Professor since 2011 at the Faculty of Engineering of the University of Porto (FEUP).

PhD obtained in 1995 in Electrical Engineering and Computers at FEUP.

Licenciado in 1984 in Electrical Engineering and Computers at FEUP.

Researcher at INESC TEC since 1985.

Interest
Topics
Details

Details

  • Name

    José Nuno Fidalgo
  • Cluster

    Power and Energy
  • Role

    Senior Researcher
  • Since

    25th June 1985
040
Publications

2022

Identification of Typical and Anomalous Patterns in Electricity Consumption

Authors
Fidalgo, JN; Macedo, P;

Publication
Applied Sciences

Abstract
Nontechnical losses in electricity distribution networks are often associated with a countries’ socioeconomic situation. Although the amount of global losses is usually known, the separation between technical and commercial (nontechnical) losses will remain one of the main challenges for DSO until smart grids become fully implemented and operational. The most common origins of commercial losses are energy theft and deliberate or accidental failures of energy measuring equipment. In any case, the consequences can be regarded as consumption anomalies. The work described in this paper aims to answer a request from a DSO, for the development of tools to detect consumption anomalies at end-customer facilities (HV, MV and LV), invoking two types of assessment. The first consists of the identification of typical patterns in the set of consumption profiles of a given group or zone and the detection of atypical consumers (outliers) within it. The second assessment involves the exploration of the load diagram evolution of each specific consumer to detect changes in the consumption pattern that could represent situations of probable irregularities. After a representative period, typically 12 months, these assessments are repeated, and the results are compared to the initial ones. The eventual changes in the typical classes or consumption scales are used to build a classifier indicating the risk of anomaly.

2021

Non-Intrusive Load Monitoring for Household Disaggregated Energy Sensing

Authors
Paulos J.P.; Nuno Fidalgo J.; Gama J.;

Publication
2021 IEEE Madrid PowerTech

Abstract

2021

Detection and Mitigation of Extreme Losses in Distribution Networks

Authors
Paulos J.P.; Fidalgo J.N.; Saraiva J.T.; Barbosa N.;

Publication
2021 IEEE Madrid PowerTech

Abstract

2021

Estimation of the Global Amount of Mandatory Investments for Distribution Network Expansion Planning

Authors
MacEdo P.M.; Fidalgo J.N.; Saraiva J.T.;

Publication
2021 IEEE Madrid PowerTech

Abstract

2020

Assessing the Impact of Investments in Distribution Planning

Authors
MacEdo, P; Fidalgo, JN; Tome Saraiva, J;

Publication
2020 17th International Conference on the European Energy Market (EEM)

Abstract

Supervised
thesis

2021

Previsão de preços de mercado baseada em Deep Learning

Author
Ana Rita Martins Cruz e Silva

Institution
UP-FEUP

2021

Previsão de investimentos com base em informação esparsa

Author
João Pedro Espírito Santo Almeida

Institution
UP-FEUP

2021

Previsão de consumo de médio e longo prazo

Author
André Marques Rodrigues

Institution
UP-FEUP

2020

Estudo de Modelos de Previsão Aplicados à Produção Renovável

Author
João Carlos Marques Moreira

Institution
UP-FEUP

2020

Deteção e mitigação de perdas extremas em redes AT

Author
Nuno Miguel da Cunha Barbosa

Institution
UP-FEUP