most citedAn Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending

4 citations · 8 across the 4 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2018★ 3 cited

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…

cs.LG2018★ 4 cited

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…