• 15 Citations
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Fingerprint Dive into the research topics where Bart Stappers is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Learning systems Engineering & Materials Science
Electricity Engineering & Materials Science
Decision making Engineering & Materials Science
Multilayer neural networks Engineering & Materials Science
Neural networks Engineering & Materials Science
Linear regression Engineering & Materials Science
Artificial intelligence Engineering & Materials Science
Support vector machines Engineering & Materials Science

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Research Output 2018 2020

  • 15 Citations
  • 1 Conference contribution
  • 1 Article

A class-driven approach based on long short-term memory networks for electricity price scenario generation and reduction

Stappers, B., Paterakis, N. G., Kok, J. K. K. & Gibescu, M., 13 Jan 2020, (Accepted/In press) In : IEEE Transactions on Power Systems.

Research output: Contribution to journalArticleAcademicpeer-review

Decision making
Neural networks
Power markets
15 Citations (Scopus)
8 Downloads (Pure)

Deep learning versus traditional machine learning methods for aggregated energy demand prediction

Paterakis, N. G., Mocanu, E., Gibescu, M., Stappers, B. & van Alst, W., 16 Jan 2018, 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, p. 1-6 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Learning systems
Multilayer neural networks
Linear regression
Artificial intelligence
Support vector machines