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1
A Comparative Study of Forecasting Problems on Electrical L..:
, In:
2023 IEEE/IAS 59th Industrial and Commercial Power Systems Technical Conference (I&CPS)
,
Harish, Battula
;
Panda, Debasmita
;
Konda, Krishna Reddy
. - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ICPS57144.2023.10142125
RT T1 <cTitle>2023 IEEE/IAS 59th Industrial and Commercial Power Systems Technical Conference (I&CPS)</cTitle>: T1 <Title>A Comparative Study of Forecasting Problems on Electrical Load Timeseries Data using Deep Learning Techniques</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10142125&Exemplar=1&LAN=DE A1 Harish, Battula A1 Panda, Debasmita A1 Konda, Krishna Reddy A1 Soni, Ajay YR 2023 SN 2158-4907 K1 Deep learning K1 Load forecasting K1 Artificial neural networks K1 Predictive models K1 Data models K1 Forecasting K1 Load modeling K1 convolutional neural networks K1 deep learning K1 long short-term memory K1 load forecasting K1 time series forecasting SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICPS57144.2023.10142125 DO https://doi.org/10.1109/ICPS57144.2023.10142125 SF ELIB - SuUB Bremen
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