Table 15: Complete results of long-term forecasting tasks for the in-domain setting of forecasting the future  $O \in \{ {96},{192},{336},{720}\}$  time points based on the past 336 time points. All the results of baselines are based on the encoder utilized in their original papers. The standard deviations of SimMTM are within 0.005 for MSE and within 0.004 for MAE.
ModelsMetric	SimMTM	Random init.	Ti-MAE [21]	TST [56]	LaST [42]	TF-C [57]	CoST [46]	TS2Vec [55]
MSE	MAE	MSE	MAE	MSE	MAE	MSE	MAE	MSE	MAE	MSE	MAE	MSE	MAE	MSE	MAE
ETh1	96	0.379	0.407	0.380	0.412	0.708	0.570	0.503	0.527	0.399	0.412	0.463	0.406	0.514	0.512	0.709	0.650
192	0.412	0.424	0.416	0.434	0.725	0.587	0.601	0.552	0.484	0.468	0.531	0.540	0.655	0.590	0.927	0.757
336	0.421	0.431	0.448	0.458	0.713	0.589	0.625	0.541	0.580	0.533	0.535	0.545	0.790	0.666	0.986	0.811
720	0.424	0.449	0.481	0.487	0.736	0.618	0.768	0.628	0.432	0.432	0.577	0.562	0.880	0.739	0.967	0.790
Avg	0.409	0.428	0.431	0.448	0.721	0.591	0.624	0.562	0.474	0.461	0.527	0.513	0.710	0.627	0.897	0.752
ETh2	96	0.293	0.347	0.325	0.374	0.443	0.465	0.335	0.392	0.331	0.390	0.463	0.521	0.465	0.482	0.506	0.477
192	0.355	0.386	0.400	0.424	0.533	0.516	0.444	0.441	0.451	0.452	0.525	0.561	0.671	0.599	0.567	0.547
336	0.370	0.401	0.405	0.433	0.445	0.472	0.455	0.494	0.460	0.478	0.850	0.883	0.848	0.776	0.694	0.628
720	0.395	0.427	0.451	0.475	0.507	0.498	0.481	0.504	0.552	0.509	0.930	0.932	0.871	0.811	0.728	0.838
Avg	0.353	0.390	0.395	0.427	0.482	0.488	0.429	0.458	0.449	0.457	0.692	0.724	0.714	0.667	0.624	0.623
ETm1	96	0.288	0.348	0.295	0.346	0.647	0.497	0.454	0.456	0.316	0.355	0.419	0.401	0.376	0.420	0.563	0.551
192	0.327	0.373	0.333	0.374	0.597	0.508	0.471	0.490	0.349	0.366	0.471	0.438	0.420	0.451	0.599	0.558
336	0.363	0.395	0.370	0.398	0.699	0.525	0.457	0.451	0.429	0.407	0.540	0.509	0.482	0.494	0.685	0.594
720	0.412	0.424	0.427	0.431	0.786	0.596	0.594	0.488	0.496	0.464	0.552	0.548	0.628	0.578	0.831	0.698
Avg	0.348	0.385	0.356	0.387	0.682	0.532	0.494	0.471	0.398	0.398	0.496	0.474	0.477	0.486	0.670	0.600
ETm2	96	0.172	0.261	0.175	0.268	0.304	0.357	0.363	0.301	0.163	0.255	0.401	0.477	0.276	0.384	0.448	0.482
192	0.223	0.300	0.240	0.312	0.334	0.387	0.342	0.364	0.239	0.303	0.422	0.490	0.500	0.532	0.545	0.536
336	0.282	0.331	0.298	0.351	0.420	0.441	0.414	0.361	0.259	0.366	0.513	0.508	0.680	0.695	0.681	0.744
720	0.374	0.388	0.403	0.413	0.508	0.481	0.580	0.456	0.397	0.382	0.523	0.772	0.925	0.914	0.691	0.837
Avg	0.263	0.320	0.279	0.336	0.392	0.417	0.425	0.371	0.265	0.327	0.465	0.562	0.595	0.631	0.591	0.650
Weather	96	0.158	0.211	0.166	0.216	0.216	0.280	0.292	0.370	0.153	0.211	0.215	0.296	0.327	0.359	0.433	0.462
192	0.199	0.249	0.208	0.254	0.303	0.335	0.410	0.473	0.207	0.250	0.267	0.345	0.390	0.422	0.508	0.518
336	0.246	0.286	0.257	0.290	0.351	0.358	0.434	0.427	0.249	0.264	0.299	0.360	0.477	0.446	0.545	0.549
720	0.317	0.337	0.326	0.338	0.425	0.399	0.539	0.523	0.319	0.320	0.361	0.395	0.551	0.586	0.576	0.572
Avg	0.230	0.271	0.239	0.275	0.324	0.343	0.419	0.448	0.232	0.261	0.286	0.349	0.436	0.453	0.516	0.525
Electricity	96	0.133	0.223	0.190	0.279	0.399	0.412	0.292	0.370	0.166	0.254	0.366	0.436	0.230	0.353	0.322	0.401
192	0.147	0.237	0.195	0.285	0.400	0.460	0.270	0.373	0.178	0.278	0.366	0.433	0.253	0.371	0.343	0.416
336	0.166	0.265	0.211	0.301	0.564	0.573	0.334	0.323	0.186	0.275	0.358	0.428	0.197	0.287	0.362	0.435
720	0.203	0.297	0.253	0.333	0.880	0.770	0.344	0.346	0.213	0.288	0.363	0.431	0.230	0.328	0.388	0.456
Avg	0.162	0.256	0.212	0.300	0.561	0.554	0.310	0.353	0.186	0.274	0.363	0.432	0.228	0.335	0.354	0.427
Traffic	96	0.368	0.262	0.471	0.309	0.431	0.482	0.559	0.454	0.706	0.385	0.613	0.340	0.751	0.431	0.321	0.367
192	0.373	0.251	0.475	0.308	0.491	0.346	0.583	0.493	0.709	0.388	0.619	0.516	0.751	0.424	0.476	0.367
336	0.395	0.254	0.490	0.315	0.502	0.384	0.637	0.469	0.714	0.394	0.785	0.497	0.761	0.425	0.499	0.376
720	0.432	0.290	0.524	0.332	0.533	0.543	0.663	0.594	0.723	0.421	0.850	0.472	0.780	0.433	0.563	0.390
Avg	0.392	0.264	0.490	0.316	0.489	0.399	0.611	0.503	0.713	0.397	0.717	0.456	0.761	0.428	0.501	0.375