VAECGAN: a generating framework for long-term prediction in multivariate time series

Cybersecurity

Table 1 The MAE and RMSE indexes of time series prediciton over the five datasets(ε=50)

Models	SML2020	NASDAQ100	Energy	EEG	KDDCUP
LSTM	0.7924	0.4362	1.3416	0.3977	0.3556
	0.7145	0.3389	0.5968	0.4304	0.3928
Seq2Seq	0.7594	0.3491	1.2385	0.2814	0.3014
	0.6451	0.3369	0.6147	0.3816	0.3684
DARNN	0.5134	0.1554	1.1561	0.2951	0.2579
	0.3938	0.2881	0.5912	0.3817	0.3177
TCN	0.5614	0.0993	1.1154	0.2411	0.1935
	0.4989	0.2412	0.5983	0.3591	0.2881
DSTPRNN	0.3254	0.1217	1.0471	0.2589	0.1753
	0.2589	0.2621	0.5477	0.3127	0.1829
VAE	0.4388	0.1898	1.2378	0.2426	0.2253
	0.4136	0.2716	0.5471	0.3802	0.2968
VAECGAN	0.3115	0.0579	0.8294	0.2193	0.1654
	0.1638	0.1911	0.4516	0.3452	0.1901