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Research Output

  • 9 Article
  • 2 Conference contribution
  • 2 Conference article

A generalizable and sensor-independent deep learning method for fault detection and location in low-voltage distribution grids

Sapountzoglou, N., Lago, J., De Schutter, B. & Raison, B., 2020, In : Applied Energy. 276, 22 p., 115299.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
  • 7 Downloads (Pure)

    Effect of market design on strategic bidding behavior: Model-based analysis of European electricity balancing markets

    Poplavskaya, K., Lago, J. & de Vries, L., 2020, In : Applied Energy. 270, 115130.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 17 Downloads (Pure)

    Fault diagnosis in low voltage smart distribution grids using gradient boosting trees

    Sapountzoglou, N., Lago, J. & Raison, B., 2020, In : Electric Power Systems Research. 182, 12 p., 106254.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 3 Citations (Scopus)
    28 Downloads (Pure)

    A 1-dimensional continuous and smooth model for thermally stratified storage tanks including mixing and buoyancy

    Lago, J., De Ridder, F., Mazairac, W. & De Schutter, B., 2019, In : Applied Energy. 248, p. 640-655

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 2 Citations (Scopus)
    70 Downloads (Pure)

    Building day-ahead bidding functions for seasonal storage systems: A reinforcement learning approach

    Lago, J., Sogancioglu, E., Suryanarayana, G., Ridder, F. D. & Schutter, B. D., 2019, In : IFAC-PapersOnLine. 52, 4, p. 488-493

    Research output: Contribution to journalConference articleScientificpeer-review

    Open Access
    File
  • 1 Citation (Scopus)
    16 Downloads (Pure)