128 citations · 428 across the 10 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CE2019★ 30 cited
A Data-driven Dynamic Rating Forecast Method and Application for Power Transformer Long-term Planning
Ming Dong
This paper presents a data-driven method for producing annual continuous dynamic rating of power transformers to serve the long-term planning purpose. Historically, research works…
eess.SY2019★ 15 cited
Multi-year Long-term Load Forecast for Area Distribution Feeders based on Selective Sequence Learning
Ming Dong, Jian Shi, QingXin Shi
Long-term load forecast (LTLF) for area distribution feeders is one of the most critical tasks frequently performed in electric distribution utility companies. For a specific plann…
stat.AP2019★ 28 cited
Combining Unsupervised and Supervised Learning for Asset Class Failure Prediction in Power Systems
Ming Dong
In power systems, an asset class is a group of power equipment that has the same function and shares similar electrical or mechanical characteristics. Predicting failures for diffe…