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Ricardo J. Bessa

Ricardo J. Bessa

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
8480
World Ranking
5755
National Ranking
30

Overview

Ricardo J. Bessa is a researcher affiliated with the University of Porto in Portugal, with a specialization in engineering and a focus on electrical and electronic engineering. Their research encompasses areas such as control and systems engineering, artificial intelligence, safety, risk, reliability and quality, and renewable energy, sustainability and the environment.

Their work prominently addresses topics related to smart grid energy management, energy load and power forecasting, electric power system optimization, smart grid security and resilience, optimal power flow distribution, power system reliability and maintenance, and anomaly detection techniques and applications.

Recent publications by Ricardo J. Bessa include:

  • Forecasting: theory and practice, 2022, BOA (University of Milano-Bicocca)
  • Big data analytics for future electricity grids, 2020, Electric Power Systems Research
  • Towards Data Markets in Renewable Energy Forecasting, 2020, IEEE Transactions on Sustainable Energy
  • Privacy-Preserving Distributed Learning for Renewable Energy Forecasting, 2021, IEEE Transactions on Sustainable Energy
  • A review on the decarbonization of high-performance computing centers, 2023, Renewable and Sustainable Energy Reviews

Frequent co-authors collaborating with Bessa include:

  • Clara Gouveia
  • Pierre Pinson
  • Georges Kariniotakis
  • Gil Sampaio
  • Carla Gonçalves

The researcher has contributed extensively to publications in venues such as:

  • IET conference proceedings.
  • arXiv (Cornell University)
  • Electric Power Systems Research
  • IEEE Transactions on Sustainable Energy
  • Zenodo (CERN European Organization for Nuclear Research)

Their main areas of study include engineering with a significant number of publications in electrical and electronic engineering, reflecting a broad engagement with multiple subfields and interdisciplinary topics relating to energy systems and sustainability.

Best Publications

  • Wind power forecasting : state-of-the-art 2009.

    C. Monteiro;R. Bessa;V. Miranda;A. Botterud

  • Wind power forecasting uncertainty and unit commitment

    J. Wang;A. Botterud;R. Bessa;H. Keko

  • Methodologies to Determine Operating Reserves Due to Increased Wind Power

    H. Holttinen;M. Milligan;E. Ela;N. Menemenlis

  • Setting the Operating Reserve Using Probabilistic Wind Power Forecasts

    M A Matos;R J Bessa

  • Flexibility products and markets: Literature review

    José Villar;Ricardo Jorge Bessa;Manuel Matos

  • Optimized Bidding of a EV Aggregation Agent in the Electricity Market

    R. J. Bessa;M. A. Matos;F. J. Soares;J. A. P. Lopes

  • Economic and technical management of an aggregation agent for electric vehicles: a literature survey

    Ricardo J. Bessa;Manuel A. Matos

  • Improving Renewable Energy Forecasting With a Grid of Numerical Weather Predictions

    Jose R. Andrade;Ricardo J. Bessa

  • Estimating the Active and Reactive Power Flexibility Area at the TSO-DSO Interface

    Joao Silva;Jean Sumaili;Ricardo J. Bessa;Luis Seca

  • The future of forecasting for renewable energy

    Conor Sweeney;Ricardo J. Bessa;Jethro Browell;Pierre Pinson

  • Entropy and Correntropy Against Minimum Square Error in Offline and Online Three-Day Ahead Wind Power Forecasting

    R.J. Bessa;V. Miranda;J. Gama

  • Wind Power Trading Under Uncertainty in LMP Markets

    A. Botterud;Zhi Zhou;Jianhui Wang;R. J. Bessa

  • Time-adaptive quantile-copula for wind power probabilistic forecasting

    Ricardo J. Bessa;V. Miranda;A. Botterud;Z. Zhou

  • Methodologies to determine operating reserves due to increased wind power

    Hannele Holttinen;Michael Milligan;Erik Ela;Nickie Menemenlis

  • Comparison of two new short-term wind-power forecasting systems

    Ignacio J. Ramirez-Rosado;L. Alfredo Fernandez-Jimenez;Cláudio Monteiro;João Sousa

  • Time Adaptive Conditional Kernel Density Estimation for Wind Power Forecasting

    R. J. Bessa;V. Miranda;A. Botterud;Jianhui Wang

  • Demand Dispatch and Probabilistic Wind Power Forecasting in Unit Commitment and Economic Dispatch: A Case Study of Illinois

    A. Botterud;Zhi Zhou;Jianhui Wang;J. Sumaili

  • Spatial-Temporal Solar Power Forecasting for Smart Grids

    Ricardo J. Bessa;Artur Trindade;Vladimiro Miranda

  • Probabilistic solar power forecasting in smart grids using distributed information

    R.J. Bessa;A. Trindade;Cátia S.P. Silva;V. Miranda

  • Optimization Models for EV Aggregator Participation in a Manual Reserve Market

    Ricardo J. Bessa;Manuel A. Matos

Frequent Co-Authors

Manuel A. Matos
Manuel A. Matos University of Porto
Vladimiro Miranda
Vladimiro Miranda University of Porto
Pierre Pinson
Pierre Pinson Technical University of Denmark
Georges Kariniotakis
Georges Kariniotakis Mines ParisTech
João Gama
João Gama University of Porto
William J. Shaw
William J. Shaw Pacific Northwest National Laboratory
João Peças Lopes
João Peças Lopes University of Porto
Michael Milligan
Michael Milligan National Renewable Energy Laboratory

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