• 331 Citations
  • 12 h-Index
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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 9 Similar Profiles
State estimation Engineering & Materials Science
Topology Engineering & Materials Science
Electric power systems Engineering & Materials Science
Energy resources Engineering & Materials Science
Outages Engineering & Materials Science
Learning systems Engineering & Materials Science
Electric vehicles Engineering & Materials Science
Electric Vehicle Mathematics

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Research Output 2008 2019

  • 331 Citations
  • 12 h-Index
  • 25 Conference contribution
  • 18 Article
  • 2 Conference article
  • 1 Chapter

A Feature Selection Method for High Impedance Fault Detection

Cui, Q., El-Arroudi, K. & Weng, Y., Jun 1 2019, In : IEEE Transactions on Power Delivery. 34, 3, p. 1203-1215 13 p., 8653353.

Research output: Contribution to journalArticle

Fault detection
Feature extraction
Electric power distribution
Learning systems
Numerical methods

A two-stage supervised learning approach for electricity price forecasting by leveraging different data sources

Luo, S. & Weng, Y., May 15 2019, In : Applied Energy. 242, p. 1497-1512 16 p.

Research output: Contribution to journalArticle

Supervised learning
forecasting method
Learning systems

Benchmark of machine learning algorithms on capturing future distribution network anomalies

Mohammadpourfard, M., Weng, Y. & Tajdinian, M., Jan 1 2019, In : IET Generation, Transmission and Distribution. 13, 8, p. 1441-1455 15 p.

Research output: Contribution to journalArticle

Energy resources
Electric vehicles
Electric power distribution
Learning algorithms
Learning systems

An Integrated Gaussian Process Modeling Framework for Residential Load Prediction

Xie, G., Chen, X. & Weng, Y., Jun 28 2018, (Accepted/In press) In : IEEE Transactions on Power Systems.

Research output: Contribution to journalArticle

Energy resources
Computational efficiency

Big data and deep learning platform for terabyte-scale renewable datasets

Weng, Y., Kumar, A., Saleem, M. B. & Zhang, B., Aug 20 2018, 20th Power Systems Computation Conference, PSCC 2018. Institute of Electrical and Electronics Engineers Inc., 8442536

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Computational efficiency
Wind power
Big data
Deep learning

Projects 1996 2021