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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
33
Citations
5881
World Ranking
5957
National Ranking
30

Overview

Pedro Faria is affiliated with the Polytechnic Institute of Porto in Portugal. The primary field of study is Engineering, with a particular focus on Electrical and Electronic Engineering, Control and Systems Engineering, Building and Construction, Renewable Energy, Sustainability and the Environment, and Industrial and Manufacturing Engineering.

Their research topics encompass:

  • Smart Grid Energy Management
  • Building Energy and Comfort Optimization
  • Energy Efficiency and Management
  • Electric Vehicles and Infrastructure
  • Energy Load and Power Forecasting
  • Microgrid Control and Optimization
  • Smart Grid Security and Resilience

Pedro Faria has published extensively in venues including Zenodo (CERN European Organization for Nuclear Research), Energy Reports, IFAC-PapersOnLine, Energies, and Energy. The number of publications in these venues are respectively 20, 15, 14, 13, and 5.

Recent papers co-authored or contributed to by Pedro Faria cover various topics within energy and climate policy:

  • Sub- and non-state climate action: a framework to assess progress, implementation and impact (2020), published in Climate Policy
  • Smart energy community: A systematic review with metanalysis (2021), published in Energy Strategy Reviews
  • Demand response performance and uncertainty: A systematic literature review (2022), published in Energy Strategy Reviews
  • Residential load shifting in demand response events for bill reduction using a genetic algorithm (2022), published in Energy
  • A robust model for aggregated bidding of energy storages and wind resources in the joint energy and reserve markets (2021), published in Energy

Frequent co-authors working with Pedro Faria comprise Zita Vale, Luís Gomes, Cátia Silva, Bruno Mota, and Carlos Ramos.

In addition to journal publications, Pedro Faria has contributed to book publications with Even3 Publicações eBooks, including:

  • Atlas de Bolso de Anatomia Humana III (2024)
  • Atlas de Bolso de Anatomia Humana I (2024)

Best Publications

  • Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming

    Hugo Morais;Péter Kádár;Pedro Faria;Zita A. Vale

  • Demand response in electrical energy supply: An optimal real time pricing approach

    Pedro Faria;Zita Vale

  • Intelligent Energy Resource Management Considering Vehicle-to-Grid: A Simulated Annealing Approach

    T. Sousa;H. Morais;Z. Vale;P. Faria

  • Towards transactive energy systems: An analysis on current trends

    Omid Abrishambaf;Fernando Lezama;Pedro Faria;Zita Vale

  • Day-ahead resource scheduling including demand response for electric vehicles

    Joao Soares;Hugo Morais;Tiago Sousa;Zita Vale

  • Modified Particle Swarm Optimization applied to integrated demand response and DG resources scheduling

    Pedro Faria;Joao Soares;Zita Vale;Hugo Morais

  • Evaluation of the electric vehicle impact in the power demand curve in a smart grid environment

    Hugo Morais;Tiago Sousa;Zita Vale;Pedro Faria

  • Demand Response Management in Power Systems Using Particle Swarm Optimization

    Pedro Faria;Zita Vale;Joao Soares;Judite Ferreira

  • Towards circular economy in the textiles and clothing value chain through blockchain technology and IoT: A review.

    Luís Alves;Estrela Ferreira Cruz;Estrela Ferreira Cruz;Sérgio I Lopes;Pedro M Faria

  • Aggregation and Remuneration of Electricity Consumers and Producers for the Definition of Demand-Response Programs

    Pedro Faria;Joao Spinola;Zita Vale

  • Incentive-based demand response programs designed by asset-light retail electricity providers for the day-ahead market

    Mohammad Ali Fotouhi Ghazvini;Pedro Faria;Sergio Ramos;Hugo Morais

  • An optimal scheduling problem in distribution networks considering V2G

    Joao Soares;Tiago Sousa;Hugo Morais;Zita Vale

  • Smart energy community: A systematic review with metanalysis

    Débora de São José;Pedro Faria;Zita Vale

  • Distributed, Agent-Based Intelligent System for Demand Response Program Simulation in Smart Grids

    Luis Gomes;Pedro Faria;Hugo Morais;Zita Vale

  • Distributed generation and demand response dispatch for a virtual power player energy and reserve provision

    Pedro Faria;Tiago Soares;Zita Vale;Hugo Morais

  • Distributed energy resources management using plug-in hybrid electric vehicles as a fuel-shifting demand response resource

    Hugo Morais;Tiago Sousa;João Soares;Pedro Faria

  • Implementation of a Real-Time Microgrid Simulation Platform Based on Centralized and Distributed Management

    Omid Abrishambaf;Pedro Faria;Luis Gomes;João Spínola

  • Constrained consumption shifting management in the distributed energy resources scheduling considering demand response

    Pedro Faria;Zita Vale;Jose Baptista

  • Distribution system operation supported by contextual energy resource management based on intelligent SCADA

    Zita Vale;Hugo Morais;Pedro Faria;Carlos Ramos

  • Demsi — A demand response simulator in the context of intensive use of distributed generation

    Pedro Faria;Zita A. Vale;Judite Ferreira

  • Genetic algorithm methodology applied to intelligent house control

    Filipe Fernandes;Tiago Sousa;Marco Silva;Hugo Morais

  • Demand response programs definition supported by clustering and classification techniques

    Sergio Ramos;Hugo Morais;Zita Vale;Pedro Faria

Frequent Co-Authors

Zita Vale
Zita Vale Polytechnic Institute of Porto
Hugo Morais
Hugo Morais Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa
Joao Soares
Joao Soares International Student Exchange Programs
Juan M. Corchado
Juan M. Corchado University of Salamanca
Miguel Castelo-Branco
Miguel Castelo-Branco University of Coimbra
Kwang Y. Lee
Kwang Y. Lee Baylor University
Sukumar Mishra
Sukumar Mishra Indian Institute of Technology Delhi
Mário J. Silva
Mário J. Silva Instituto Superior Técnico
Javier Bajo
Javier Bajo Technical University of Madrid
João L. Afonso
João L. Afonso University of Minho

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