The spatio-temporal visualization tool HMMLVis in renewable energy applications

Rainer Wöß, Kateřina Hlaváčková-Schindler, Irene Schicker, Petrina Papazek, and Claudia Plant

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Total article views: 4,178 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
3,051	804	323	4,178	216	294

HTML: 3,051
PDF: 804
XML: 323
Total: 4,178
BibTeX: 216
EndNote: 294

Views and downloads (calculated since 16 Oct 2024)

Month	HTML	PDF	XML	Total
Oct 2024	134	28	12	174
Nov 2024	68	26	4	98
Dec 2024	34	16	0	50
Jan 2025	32	14	84	130
Feb 2025	22	6	12	40
Mar 2025	18	8	2	28
Apr 2025	40	14	0	54
May 2025	44	12	6	62
Jun 2025	124	10	2	136
Jul 2025	14	12	0	26
Aug 2025	164	22	0	186
Sep 2025	972	14	4	990
Oct 2025	36	20	2	58
Nov 2025	52	56	12	120
Dec 2025	92	70	16	178
Jan 2026	136	48	20	204
Feb 2026	56	38	4	98
Mar 2026	148	90	16	254
Apr 2026	233	58	13	304
May 2026	181	72	8	261
Jun 2026	30	7	4	41
Jul 2026	48	17	4	69
Aug 2026	57	17	7	81
Sep 2026	161	61	47	269
Oct 2026	145	64	41	250
Nov 2026	10	4	3	17

Cumulative views and downloads (calculated since 16 Oct 2024)

Month	HTML	PDF	XML	Total
Oct 2024	134	28	12	174
Nov 2024	68	26	4	98
Dec 2024	34	16	0	50
Jan 2025	32	14	84	130
Feb 2025	22	6	12	40
Mar 2025	18	8	2	28
Apr 2025	40	14	0	54
May 2025	44	12	6	62
Jun 2025	124	10	2	136
Jul 2025	14	12	0	26
Aug 2025	164	22	0	186
Sep 2025	972	14	4	990
Oct 2025	36	20	2	58
Nov 2025	52	56	12	120
Dec 2025	92	70	16	178
Jan 2026	136	48	20	204
Feb 2026	56	38	4	98
Mar 2026	148	90	16	254
Apr 2026	233	58	13	304
May 2026	181	72	8	261
Jun 2026	30	7	4	41
Jul 2026	48	17	4	69
Aug 2026	57	17	7	81
Sep 2026	161	61	47	269
Oct 2026	145	64	41	250
Nov 2026	10	4	3	17

HTML	PDF	XML	Total	BibTeX	EndNote
711	166	111	988	121	127

HTML	PDF	XML	Total	BibTeX	EndNote
2,340	638	212	3,190	95	167

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Total article views: 4,178 (including HTML, PDF, and XML) Thereof 4,133 with geography defined and 45 with unknown origin.

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Saved (final revised paper)

Latest update: 04 Nov 2026

Short summary

Our tool is an easy-to-use, interpretable causal inference software. It can be applied in any scientific discipline exploring time series. The tool uses heterogeneous Granger causality. It can be used on time-series data to infer causal relationships between multiple variables and a target time-series. The tool is demonstrated on different types of applications related to meteorological events in a renewable energy, air pollution, and postprocessing benchmark data.