Multi-Quantile Recurrent Neural Network for Feeder-Level Probabilistic Energy Disaggregation Considering Roof-Top Solar Energy

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Original language	English
Article number	104707
Journal	Engineering Applications of Artificial Intelligence
Volume	110
Early online date	11 Feb 2022
DOIs	https://doi.org/10.1016/j.engappai.2022.104707
Publication status	Published - Apr 2022

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@article{849fab72455c43a7ac14033eb157932f,

title = "Multi-Quantile Recurrent Neural Network for Feeder-Level Probabilistic Energy Disaggregation Considering Roof-Top Solar Energy",

author = "Xiaoyu Zhang and Chris Watkins and Stefanie Kuenzel",

year = "2022",

month = apr,

doi = "10.1016/j.engappai.2022.104707",

language = "English",

volume = "110",

journal = "Engineering Applications of Artificial Intelligence",

issn = "0952-1976",

publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - Multi-Quantile Recurrent Neural Network for Feeder-Level Probabilistic Energy Disaggregation Considering Roof-Top Solar Energy

AU - Zhang, Xiaoyu

AU - Watkins, Chris

AU - Kuenzel, Stefanie

PY - 2022/4

Y1 - 2022/4

U2 - 10.1016/j.engappai.2022.104707

DO - 10.1016/j.engappai.2022.104707

M3 - Article

SN - 0952-1976

VL - 110

JO - Engineering Applications of Artificial Intelligence

JF - Engineering Applications of Artificial Intelligence

M1 - 104707

ER -