128 citations
5 papers
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…
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…
A Hybrid Distribution Feeder Long-Term Load Forecasting Method Based on Sequence Prediction
Ming Dong, L. S. Grumbach
Distribution feeder long-term load forecast (LTLF) is a critical task many electric utility companies perform on an annual basis. The goal of this task is to forecast the annual lo…
Combining Modified Weibull Distribution Models for Power System Reliability Forecast
Ming Dong, Alexandre B. Nassif
In recent years, under deregulated environment, electric utility companies have been encouraged to ensure maximum system reliability through the employment of cost-effective long-t…
A Data-Driven Residential Transformer Overloading Risk Assessment Method
Ming Dong, Benzhe Li, Alex Nassif
Residential transformer population is a critical type of asset that many electric utility companies have been attempting to manage proactively and effectively to reduce unexpected…