Creating and sharing knowledge for telecommunications
... Pedro Miguel Rocha Bento

PhD Student

Pedro Bento

Academic position: PhD Student
Joining date: 01-09-2017
Roles in IT: PhD Student
Thematic Line: Basic Sciences and Enabling Technologies
Group: Power Systems - Cv

Email: Send Email
Address: IT Branch – Covilhã
Faculdade de Engenharia
Covilhã
6201-001
Tel: 275329953
Fax: 275329972


Bio

P. M .R Bento (S’16) received the Electrical and Computer Engineering degree and M.Sc. degree from the University of Beira Interior, Covilhã, Portugal, in 2015 and 2017, respectively. He is currently a reseacher at University of Beira Interior, IT- Instituto de Telecomunicações. His research interests include economics of electric energy systems, as well as the application of artificial intelligence techniques in power systems engineering.


Scientific Achievements

  • MSc, Universidade da Beira Interior, 28-07-2017
  • Power Systems
  • Forecasting
  • Intelligence Algorithms
  • Large-Scale Integration of Variable Renewable Energies in Electric Power Markets — Optimization Models, Options and Challenges, Universidade da Beira Interior, PhD Student, Pedro Miguel Rocha Bento, Supervisor: S.J.P.S. Mariano, nov-2017 - jun-2025
  • P.M.R. Bento, S.J.P.S. Mariano, J. Pombo, M.R.A. Calado, Large-scale penetration of renewables in the Iberian power system: Evolution, challenges and flexibility options, Renewable and Sustainable Energy Reviews, Vol. 204, No., pp. 114794 - 114794, October, 2024 | BibTex
  • B. Magalhães, P.M.R. Bento, J. Pombo, M.R.A. Calado, S.J.P.S. Mariano, Short-Term Load Forecasting Based on Optimized Random Forest and Optimal Feature Selection, Energies, Vol. 17, No. 8, pp. 1926 - 1926, April, 2024,
    | Abstract
    | BibTex
  • P.M.R. Bento, S.J.P.S. Mariano, P. M. S. C. Carvalho, M.R.A. Calado, J. Pombo, Soaring electricity prices in the day-ahead Iberian market: policy insights, regulatory challenges and lack of system flexibility, International Journal of Energy Sector Management, Vol. 18, No. 2, pp. 312 - 333, February, 2024,
    | Abstract
    | Full text (PDF 2 MBs) | BibTex
  • P.M.R. Bento, S.J.P.S. Mariano, J. Pombo, M.R.A. Calado, Impacts of the COVID-19 pandemic on electric energy load and pricing in the Iberian electricity market, Energy Reports, Vol. 7, No. 0, pp. 4833 - 4849, November, 2021 | Full text (PDF 2 MBs) | BibTex
  • P.M.R. Bento, J. Pombo, M.R.A. Calado, S.J.P.S. Mariano, Stacking Ensemble Methodology Using Deep Learning and ARIMA Models for Short-Term Load Forecasting, Energies, Vol. 14, No. 21, pp. 7378 - 7378, November, 2021 | BibTex
  • P.M.R. Bento, J. Pombo, M.R.A. Calado, S.J.P.S. Mariano, Ocean wave power forecasting using convolutional neural networks, IET Renewable Power Generation, Vol. 15, No. 14, pp. 3341 - 3353, August, 2021,
    | Abstract
    | BibTex
  • P.M.R. Bento, S.J.P.S. Mariano, M.R.A. Calado, L. Ferreira, A Novel Lagrangian Multiplier Update Algorithm for Short-Term Hydro-Thermal Coordination, Energies, Vol. 13, No. 24, pp. 6621 - 6621, December, 2020 | BibTex
  • P.M.R. Bento, J. Pombo, R. Mendes, M.R.A. Calado, S.J.P.S. Mariano, Ocean wave energy forecasting using optimised deep learning neural networks, Ocean Engineering, Vol. 219, No. -, pp. 108372 - 108372, December, 2020 | BibTex
  • P.M.R. Bento, J. Pombo, M.R.A. Calado, S.J.P.S. Mariano, Optimization of neural network with wavelet transform and improved data selection using bat algorithm for short-term load forecasting, Neurocomputing, Vol. 358, No. -, pp. 53 - 71, September, 2019 | BibTex
  • H.G.G. Nunes, J. Pombo, P.M.R. Bento, S.J.P.S. Mariano, M.R.A. Calado, Collaborative swarm intelligence to estimate PV parameters, Energy Conversion and Management, Vol. 185, No., pp. 866 - 890, April, 2019,
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    | BibTex
  • P.M.R. Bento, H.G.G. Nunes, J. Pombo, M.R.A. Calado, S.J.P.S. Mariano, Daily Operation Optimization of a Hybrid Energy System Considering a Short-Term Electricity Price Forecast Scheme, Energies, Vol. 12, No. 5, pp. 924 - 924, March, 2019,
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    | BibTex
  • P.M.R. Bento, J. Pombo, M.R.A. Calado, S.J.P.S. Mariano, A bat optimized neural network and wavelet transform approach for short-term price forecasting, Applied Energy, Vol. 210, No. -, pp. 88 - 97, January, 2018,
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    | BibTex
  • P.M.R. Bento, J. Pombo, S.J.P.S. Mariano, M.R.A. Calado, A modified Harris Hawks Optimization algorithm for solving the optimal power flow problem, 24th EEEIC International Conference on Environment and Electrical Engineering, Rome, Italy, June, 2024,
    | Abstract
    | BibTex
  • P.M.R. Bento, J. Pombo, S.J.P.S. Mariano, M.R.A. Calado, Short-term price forecasting in the Iberian electricity market: Sensitivity assessment of the exogenous variables influence, IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe EEEIC / I&CPS Europe, Prague, Czech Republic, June, 2022,
    | Abstract
    | BibTex
  • P.M.R. Bento, J. Pombo, S.J.P.S. Mariano, M.R.A. Calado, An Overview Of The Latest Machine Learning Trends In Short-Term Load Forecasting, IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe EEEIC / I&CPS Europe, Prague, Czech Republic, June, 2022 | BibTex
  • P.M.R. Bento, F.M.F. Pina, S.J.P.S. Mariano, M.R.A. Calado, Short-Term Hydro-Thermal Coordination by Lagrangian Relaxation: a new algorithm for the solution of the dual problem, ICEUBI2019 – International Congress on Engineering – Engineering for Evolution, Covilhã, Portugal, November, 2019,
    | Abstract
    | BibTex
  • P.M.R. Bento, J. Pombo, M.R.A. Calado, S.J.P.S. Mariano, Short-Term Load Forecasting using optimized LSTM Networks via Improved Bat Algorithm, International Conference on Intelligent Systems (IS), Funchal, Madeira, Portugal, September, 2018,
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    | BibTex
  • P.M.R. Bento, H.G.G. Nunes, J. Pombo, S.J.P.S. Mariano, M.R.A. Calado, Daily Operation Optimization for Grid-Connected Hybrid System considering Short-Term Electricity Price Forecast Scheme, IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) EEEIC / I&CPS Europe, Palermo, Italy, June, 2018,
    | Abstract
    | BibTex
  • H.G.G. Nunes, P.M.R. Bento, J. Pombo, S.J.P.S. Mariano, M.R.A. Calado, A modified multidimension diode model for PV parameters identification using guaranteed convergence particle swarm optimization algorithm, IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) EEEIC / I&CPS Europe, Palermo, Italy, June, 2018,
    | Abstract
    | BibTex

Activities from this researcher fall under the following United Nations Strategic Development Goals (SDGs):