activity
20182020
most citedA Hybrid Distribution Feeder Long-Term Load Forecasting Method Based on Sequence Prediction

128 citations · 428 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG2020

Generating Long-term Continuous Multi-type Generation Profiles

Ming Dong

Today, the adoption of new technologies has increased power system dynamics significantly. Traditional long-term planning studies that most utility companies perform based on discr…

cs.CE2020

Generation of In-group Asset Condition Data for Power System Reliability Assessment

Ming Dong, Alexandre B. Nassif, Wenyuan Li

In a power system, unlike some critical and standalone assets that are equipped with condition monitoring devices, the conditions of most regular in-group assets are acquired throu…

cs.CE2020

Estimating Asset Class Health Indices in Power Systems

Ming Dong

Power systems have widely adopted the concept of health index to describe asset health statuses and choose proper asset management actions. The existing application and research wo…

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…