4 citations · 8 across the 4 of their papers we have counts for
4 papers
Transferrable Operative Difficulty Assessment in Robot-assisted Teleoperation: A Domain Adaptation Approach
Ziheng Wang, Cong Feng, Jie Zhang +1
Providing an accurate and efficient assessment of operative difficulty is important for designing robot-assisted teleoperation interfaces that are easy and natural for human operat…
Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting
Cong Feng, Jie Zhang
With the growing prevalence of smart grid technology, short-term load forecasting (STLF) becomes particularly important in power system operations. There is a large collection of m…
An Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending
Cong Feng, Mingjian Cui, Bri-Mathias Hodge +3
Solar forecasting accuracy is affected by weather conditions, and weather awareness forecasting models are expected to improve the performance. However, it may not be available and…
Hourly-Similarity Based Solar Forecasting Using Multi-Model Machine Learning Blending
Cong Feng, Jie Zhang
With the increasing penetration of solar power into power systems, forecasting becomes critical in power system operations. In this paper, an hourly-similarity (HS) based method is…