18 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Marginalize, Rather than Impute: Probabilistic Wind Power Forecasting with Incomplete Data
Honglin Wen, Pierre Pinson, Jie Gu +1
Machine learning methods are widely and successfully used for probabilistic wind power forecasting, yet the pervasive issue of missing values (e.g., due to sensor faults or communi…
stat.AP2022★ 18 cited
Wind energy forecasting with missing values within a fully conditional specification framework
Honglin Wen, Pierre Pinson, Jie Gu +1
Wind power forecasting is essential to power system operation and electricity markets. As abundant data became available thanks to the deployment of measurement infrastructures and…
math.OC2021
Algebraic Analysis of Electric Load and Electricity Pricing
Jinghuan Ma, Jie Gu, Zhijian Jin
This paper presents a perspective of functional analysis to analyze electric load and electricity pricing in the space and its isomorphic vector space, which also yields the…