• 372 Citations
  • 12 h-Index
19962021
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Fingerprint Dive into the research topics where Yang Weng is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 6 Similar Profiles
State estimation Engineering & Materials Science
Topology Engineering & Materials Science
Electric power systems Engineering & Materials Science
Energy resources Engineering & Materials Science
Learning systems Engineering & Materials Science
Outages Engineering & Materials Science
Electric vehicles Engineering & Materials Science
Supervised learning Engineering & Materials Science

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Research Output 2008 2019

  • 372 Citations
  • 12 h-Index
  • 26 Conference contribution
  • 18 Article
  • 2 Conference article
  • 1 Chapter
1 Citation (Scopus)

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 hybrid machine learning framework for enhancing PMU-based event identification with limited labels

Li, H., Weng, Y., Farantatos, E. & Patel, M., May 1 2019, 2019 International Conference on Smart Grid Synchronized Measurements and Analytics, SGSMA 2019. Institute of Electrical and Electronics Engineers Inc., 8784550. (2019 International Conference on Smart Grid Synchronized Measurements and Analytics, SGSMA 2019).

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

Hybrid Learning
machine learning
Supervised learning
learning
Learning systems

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
electricity
Electricity
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
Communication
Computational efficiency
Bandwidth
Planning

Projects 1996 2021