World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
4453
World Ranking
10923
National Ranking
4540

Overview

Joao Soares is affiliated with International Student Exchange Programs in the United States. Their research activity is primarily situated within the field of Engineering, with a focus on Electrical and Electronic Engineering, Control and Systems Engineering, and Automotive Engineering. Additional subfields of work include Renewable Energy, Sustainability and the Environment, as well as Building and Construction.

The scientist's work consistently addresses topics related to the management and optimization of electrical energy systems. Key areas of research comprise Smart Grid Energy Management, Electric Vehicles and Infrastructure, Microgrid Control and Optimization, Advanced Battery Technologies Research, Electric Power System Optimization, Optimal Power Flow Distribution, and Energy Load and Power Forecasting.

Joao Soares has published in several venues, with notable frequent publications in Zenodo (CERN European Organization for Nuclear Research), IEEE Access, and the journal Energies. Other venues include the 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) conference and the SSRN Electronic Journal.

Recent research papers authored include:

  • Flexibility management model of home appliances to support DSO requests in smart grids, 2020, Sustainable Cities and Society
  • Optimal Model for Local Energy Community Scheduling Considering Peer to Peer Electricity Transactions, 2021, IEEE Access
  • Local electricity markets: A review on benefits, barriers, current trends and future perspectives, 2023, Renewable and Sustainable Energy Reviews
  • A Specialized Long-Term Distribution System Expansion Planning Method With the Integration of Distributed Energy Resources, 2022, IEEE Access
  • Green Hydrogen and Energy Transition: Current State and Prospects in Portugal, 2023, Energies

Collaboration is a significant aspect of their research. Frequent co-authors include Zita Vale, Fernando Lezama, Sérgio Ramos, Bruno Canizes, and José Almeida.

Best Publications

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

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

  • 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

  • Day-ahead resource scheduling in smart grids considering Vehicle-to-Grid and network constraints

    Tiago Sousa;Hugo Morais;João Soares;Zita Vale

  • Demand Response Management in Power Systems Using Particle Swarm Optimization

    Pedro Faria;Zita Vale;Joao Soares;Judite Ferreira

  • A multi-objective model for scheduling of short-term incentive-based demand response programs offered by electricity retailers

    Mohammad Ali Fotouhi Ghazvini;João Soares;Nuno Horta;Rui Neves

  • Distributed energy resource short-term scheduling using signaled particle swarm optimization

    João Soares;Marco Silva;Tiago Sousa;Zita Vale

  • A stochastic model for energy resources management considering demand response in smart grids

    João Soares;Mohammad Ali Fotouhi Ghazvini;Nuno Borges;Zita Vale

  • An optimal scheduling problem in distribution networks considering V2G

    Joao Soares;Tiago Sousa;Hugo Morais;Zita Vale

  • Application-Specific Modified Particle Swarm Optimization for energy resource scheduling considering vehicle-to-grid

    João P. Soares;Tiago M. Sousa;Hugo Morais;Zita Vale

  • Flexibility management model of home appliances to support DSO requests in smart grids

    Fernando Lezama;Joao Soares;Bruno Canizes;Zita Vale

  • Two-Stage Stochastic Model Using Benders’ Decomposition for Large-Scale Energy Resource Management in Smart Grids

    Joao Soares;Bruno Canizes;Mohammad Ali Fotouhi Ghazvini;Zita Vale

  • Congestion management in active distribution networks through demand response implementation

    Mohammad Ali Fotouhi Ghazvini;Gianluca Lipari;Marco Pau;Ferdinanda Ponci

  • A multi-objective model for the day-ahead energy resource scheduling of a smart grid with high penetration of sensitive loads

    João Soares;Mohammad Ali Fotouhi Ghazvini;Zita Vale;P.B. de Moura Oliveira

  • Optimal Model for Local Energy Community Scheduling Considering Peer to Peer Electricity Transactions

    Ricardo Faia;Joao Soares;Tiago Pinto;Fernando Lezama

  • Survey on Complex Optimization and Simulation for the New Power Systems Paradigm

    João P. Soares;Tiago Pinto;Fernando Lezama;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

  • Smart City: A GECAD-BISITE Energy Management Case Study

    Bruno Canizes;Tiago Pinto;João P. Soares;Zita A. Vale

  • Stochastic interval-based optimal offering model for residential energy management systems by household owners

    Amin Shokri Gazafroudi;João Soares;Mohammad Ali Fotouhi Ghazvini;Tiago Pinto

  • Electric Vehicles’ User Charging Behaviour Simulator for a Smart City

    Bruno Canizes;João Soares;Angelo Costa;Tiago Pinto

  • 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
Pedro Faria
Pedro Faria Polytechnic Institute of Porto
Hugo Morais
Hugo Morais Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa
Juan M. Corchado
Juan M. Corchado University of Salamanca
Rui Castro
Rui Castro Eindhoven University of Technology
Ruben Romero
Ruben Romero Sao Paulo State University
Ganesh K. Venayagamoorthy
Ganesh K. Venayagamoorthy Clemson University
Kwang Y. Lee
Kwang Y. Lee Baylor University
Antonello Monti
Antonello Monti RWTH Aachen University
Sukumar Mishra
Sukumar Mishra Indian Institute of Technology Delhi

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