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1 Ergebnisse
1
Short-term Power Load Forecasting Method Based on VMD-ARIMA..:
, In:
2022 China Automation Congress (CAC)
,
Yilun, Li
;
Yishu, Zhang
;
Xueyan, Li
... - p. 2312-2317 , 2022
Link:
https://doi.org/10.1109/CAC57257.2022.10055677
RT T1
2022 China Automation Congress (CAC)
: T1
Short-term Power Load Forecasting Method Based on VMD-ARIMA-SVR
UL https://suche.suub.uni-bremen.de/peid=ieee-10055677&Exemplar=1&LAN=DE A1 Yilun, Li A1 Yishu, Zhang A1 Xueyan, Li A1 Hainan, Su A1 Sen, Yang A1 Jinxiao, Yu YR 2022 SN 2688-0938 K1 Support vector machines K1 Analytical models K1 Load forecasting K1 Power supplies K1 Time series analysis K1 Predictive models K1 Prediction algorithms K1 short-term load forecasting K1 Autoregressive Integrated Moving Average model K1 support vector machine K1 variable mode decomposition SP 2312 OP 2317 LK http://dx.doi.org/https://doi.org/10.1109/CAC57257.2022.10055677 DO https://doi.org/10.1109/CAC57257.2022.10055677 SF ELIB - SuUB Bremen
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