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1
A Deep Learning Approach to Smart Grid Stability Prediction..:
, In:
2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)
,
Sundaram, Karthic
;
Akash, S
;
Dhanush, S
.. - p. 265-270 , 2024
Link:
https://doi.org/10.1109/InCACCT61598.2024.10551244
RT T1 <cTitle>2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)</cTitle>: T1 <Title>A Deep Learning Approach to Smart Grid Stability Prediction with LSTM Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10551244&Exemplar=1&LAN=DE A1 Sundaram, Karthic A1 Akash, S A1 Dhanush, S A1 Dheenadayalan, R S A1 Jagannathan, Naveen YR 2024 K1 Deep learning K1 Computer network reliability K1 Computational modeling K1 Power system stability K1 Predictive models K1 Stability analysis K1 Real-time systems K1 Smart grid stability K1 LSTM networks K1 Time series forecasting K1 Energy distribution K1 Grid reliability K1 Grid stability prediction SP 265 OP 270 LK http://dx.doi.org/https://doi.org/10.1109/InCACCT61598.2024.10551244 DO https://doi.org/10.1109/InCACCT61598.2024.10551244 SF ELIB - SuUB Bremen
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