Imperial College London

DrFeiTeng

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 6178f.teng Website CV

 
 
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Location

 

1116Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Yang:2020:10.1049/iet-gtd.2020.0757,
author = {Yang, J and Zhang, S and Xiang, Y and Liu, J and Liu, J and Han, X and Teng, F},
doi = {10.1049/iet-gtd.2020.0757},
journal = {IET GENERATION TRANSMISSION & DISTRIBUTION},
pages = {5935--5943},
title = {LSTM auto-encoder based representative scenario generation method for hybrid hydro-PV power system},
url = {http://dx.doi.org/10.1049/iet-gtd.2020.0757},
volume = {14},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Yang,J
AU - Zhang,S
AU - Xiang,Y
AU - Liu,J
AU - Liu,J
AU - Han,X
AU - Teng,F
DO - 10.1049/iet-gtd.2020.0757
EP - 5943
PY - 2020///
SN - 1751-8687
SP - 5935
TI - LSTM auto-encoder based representative scenario generation method for hybrid hydro-PV power system
T2 - IET GENERATION TRANSMISSION & DISTRIBUTION
UR - http://dx.doi.org/10.1049/iet-gtd.2020.0757
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000596021500028&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 14
ER -