World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
43
Citations
6972
World Ranking
3921
National Ranking
19

Overview

Hugo Morais is affiliated with the Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento in Lisboa, Portugal. Their research primarily spans the field of Engineering, with a strong focus on Electrical and Electronic Engineering, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, Automotive Engineering, and Computer Networks and Communications.

Their scholarly contributions address multiple specialized areas, including:

  • Smart Grid Energy Management
  • Energy Load and Power Forecasting
  • Electric Vehicles and Infrastructure
  • Electric Power System Optimization
  • Advanced Battery Technologies Research
  • Optimal Power Flow Distribution
  • Microgrid Control and Optimization

Recent publications authored or co-authored by Hugo Morais cover various topics related to energy systems and optimization. Notable papers include:

  • "Power quality monitoring in electric grid integrating offshore wind energy: A review" (2023) published in Renewable and Sustainable Energy Reviews
  • "Reactive power provision by the DSO to the TSO considering renewable energy sources uncertainty" (2020) published in Sustainable Energy Grids and Networks
  • "Polish Energy Transition 2040: Energy Mix Optimization Using Grey Wolf Optimizer" (2021) published in Energies
  • "New approach for electric vehicles charging management in parking lots considering fairness rules" (2023) published in Electric Power Systems Research
  • "Electrical Load Demand Forecasting Using Feed-Forward Neural Networks" (2021) published in Energies

The scientist has published extensively in venues that include:

  • Energies
  • IET conference proceedings.
  • Zenodo (CERN European Organization for Nuclear Research)
  • SSRN Electronic Journal
  • Sustainable Energy Grids and Networks

Throughout their career, Hugo Morais has collaborated frequently with several researchers. The most frequent co-authors include:

  • Lucas Pereira
  • Zita Vale
  • Cindy P. Guzmán
  • Tiago Pinto
  • Madeleine Gibescu

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

  • Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects

    Junjie Hu;Hugo Morais;Tiago Sousa;Morten Lind

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

    Joao Soares;Hugo Morais;Tiago Sousa;Zita Vale

  • MASCEM: Electricity Markets Simulation with Strategic Agents

    Z Vale;T Pinto;I Praça;H Morais

  • 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

  • Dynamic load management in a smart home to participate in demand response events

    Filipe Fernandes;Hugo Morais;Zita Vale;Carlos Ramos

  • An integrated approach for distributed energy resource short-term scheduling in smart grids considering realistic power system simulation

    Marco Silva;H. Morais;Zita Vale

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

    Tiago Sousa;Hugo Morais;João Soares;Zita Vale

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

    João Soares;Marco Silva;Tiago Sousa;Zita Vale

  • Electric Vehicle Scenario Simulator Tool for Smart Grid Operators

    João Soares;Bruno Canizes;Cristina Lobo;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

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

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

  • Active Distribution Grid Management Based on Robust AC Optimal Power Flow

    Tiago Soares;Ricardo J. Bessa;Pierre Pinson;Hugo Morais

  • Optimal Offering Strategies for Wind Power in Energy and Primary Reserve Markets

    Tiago Soares;Pierre Pinson;Tue V. Jensen;Hugo Morais

  • A new approach for multi-agent coalition formation and management in the scope of electricity markets

    Tiago Pinto;H. Morais;Pedro Oliveira;Zita Vale

  • Adaptive learning in agents behaviour: A framework for electricity markets simulation

    Tiago Pinto;Zita Vale;Tiago M. Sousa;Isabel Praça

  • 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

  • MASGriP — A Multi-Agent Smart Grid Simulation Platform

    P. Oliveira;T. Pinto;H. Morais;Z. Vale

  • 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

  • Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling

    Gabriel Santos;Tiago Pinto;Hugo Morais;Hugo Morais;Tiago M. Sousa

  • Adaptive Portfolio Optimization for Multiple Electricity Markets Participation

    Tiago Pinto;Hugo Morais;Tiago M. Sousa;Tiago Sousa

Frequent Co-Authors

Jacob Østergaard
Jacob Østergaard Technical University of Denmark
Ganesh K. Venayagamoorthy
Ganesh K. Venayagamoorthy Clemson University
Qiuwei Wu
Qiuwei Wu Technical University of Denmark
Jiuchun Jiang
Jiuchun Jiang Hubei University of Technology
Weige Zhang
Weige Zhang Beijing Jiaotong University

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