Weather dependent estimation of continent-wide wind power generation based on spatio-temporal clustering

Schyska, Bruno U.; Couto, António; von Bremen, Lueder; Estanqueiro, Ana; Heinemann, Detlev

doi:10.5194/asr-14-131-2017

Articles | Volume 14

https://doi.org/10.5194/asr-14-131-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/asr-14-131-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 14

29 May 2017

| 29 May 2017

Weather dependent estimation of continent-wide wind power generation based on spatio-temporal clustering

Bruno U. Schyska, António Couto, Lueder von Bremen, Ana Estanqueiro, and Detlev Heinemann

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Total article views: 2,372 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
1,307	860	205	2,372	216	272

HTML: 1,307
PDF: 860
XML: 205
Total: 2,372
BibTeX: 216
EndNote: 272

Views and downloads (calculated since 29 May 2017)

Month	HTML	PDF	XML	Total
May 2017	27	9	1	37
Jun 2017	95	22	4	121
Jul 2017	51	12	0	63
Aug 2017	27	5	1	33
Sep 2017	40	13	0	53
Oct 2017	35	10	0	45
Nov 2017	6	6	0	12
Dec 2017	8	11	0	19
Jan 2018	7	5	0	12
Feb 2018	18	11	4	33
Mar 2018	10	7	2	19
Apr 2018	10	13	2	25
May 2018	9	11	1	21
Jun 2018	6	6	2	14
Jul 2018	7	7	0	14
Aug 2018	11	7	0	18
Sep 2018	13	11	0	24
Oct 2018	15	7	6	28
Nov 2018	13	8	0	21
Dec 2018	6	8	0	14
Jan 2019	7	5	0	12
Feb 2019	8	10	1	19
Mar 2019	4	9	0	13
Apr 2019	4	6	2	12
May 2019	5	17	0	22
Jun 2019	5	11	0	16
Jul 2019	3	10	4	17
Aug 2019	4	24	0	28
Sep 2019	4	12	0	16
Oct 2019	4	7	0	11
Nov 2019	4	17	1	22
Dec 2019	4	11	3	18
Jan 2020	10	12	1	23
Feb 2020	6	3	0	9
Mar 2020	7	4	0	11
Apr 2020	2	3	1	6
May 2020	6	5	0	11
Jun 2020	25	11	1	37
Jul 2020	46	33	38	117
Aug 2020	8	6	3	17
Sep 2020	5	1	0	6
Oct 2020	11	7	1	19
Nov 2020	10	8	2	20
Dec 2020	18	5	1	24
Jan 2021	16	6	0	22
Feb 2021	6	3	3	12
Mar 2021	10	5	1	16
Apr 2021	15	4	0	19
May 2021	13	4	5	22
Jun 2021	8	5	1	14
Jul 2021	3	7	0	10
Aug 2021	8	2	2	12
Sep 2021	5	6	2	13
Oct 2021	4	21	0	25
Nov 2021	11	17	0	28
Dec 2021	10	5	4	19
Jan 2022	10	15	0	25
Feb 2022	5	5	1	11
Mar 2022	3	3	2	8
Apr 2022	7	3	1	11
May 2022	4	1	1	6
Jun 2022	2	2	4	8
Jul 2022	18	2	5	25
Aug 2022	6	5	1	12
Sep 2022	4	3	1	8
Oct 2022	9	4	5	18
Nov 2022	6	11	1	18
Dec 2022	8	5	2	15
Jan 2023	6	8	1	15
Feb 2023	7	1	1	9
Mar 2023	13	5	1	19
Apr 2023	1	1	0	2
May 2023	3	4	0	7
Jun 2023	1	5	0	6
Jul 2023	1	3	0	4
Aug 2023	7	2	1	10
Sep 2023	3	3	1	7
Oct 2023	3	1	1	5
Nov 2023	3	1	0	4
Dec 2023	8	4	2	14
Jan 2024	9	5	3	17
Feb 2024	2	0	2
Mar 2024	3	8	0	11
Apr 2024	7	4	1	12
May 2024	4	1	1	6
Jun 2024	37	4	3	44
Jul 2024	16	5	2	23
Aug 2024	35	5	4	44
Sep 2024	11	4	4	19
Oct 2024	8	5	4	17
Nov 2024	7	3	3	13
Dec 2024	8	5	0	13
Jan 2025	5	7	0	12
Feb 2025	18	5	1	24
Mar 2025	11	7	2	20
Apr 2025	5	11	2	18
May 2025	17	6	5	28
Jun 2025	30	11	6	47
Jul 2025	7	11	2	20
Aug 2025	13	10	4	27
Sep 2025	28	13	0	41
Oct 2025	25	19	4	48
Nov 2025	19	24	4	47
Dec 2025	19	7	2	28
Jan 2026	28	12	4	44
Feb 2026	12	7	5	24
Mar 2026	15	28	3	46
Apr 2026	32	18	2	52
May 2026	7	5	2	14

Cumulative views and downloads (calculated since 29 May 2017)

Month	HTML	PDF	XML	Total
May 2017	27	9	1	37
Jun 2017	95	22	4	121
Jul 2017	51	12	0	63
Aug 2017	27	5	1	33
Sep 2017	40	13	0	53
Oct 2017	35	10	0	45
Nov 2017	6	6	0	12
Dec 2017	8	11	0	19
Jan 2018	7	5	0	12
Feb 2018	18	11	4	33
Mar 2018	10	7	2	19
Apr 2018	10	13	2	25
May 2018	9	11	1	21
Jun 2018	6	6	2	14
Jul 2018	7	7	0	14
Aug 2018	11	7	0	18
Sep 2018	13	11	0	24
Oct 2018	15	7	6	28
Nov 2018	13	8	0	21
Dec 2018	6	8	0	14
Jan 2019	7	5	0	12
Feb 2019	8	10	1	19
Mar 2019	4	9	0	13
Apr 2019	4	6	2	12
May 2019	5	17	0	22
Jun 2019	5	11	0	16
Jul 2019	3	10	4	17
Aug 2019	4	24	0	28
Sep 2019	4	12	0	16
Oct 2019	4	7	0	11
Nov 2019	4	17	1	22
Dec 2019	4	11	3	18
Jan 2020	10	12	1	23
Feb 2020	6	3	0	9
Mar 2020	7	4	0	11
Apr 2020	2	3	1	6
May 2020	6	5	0	11
Jun 2020	25	11	1	37
Jul 2020	46	33	38	117
Aug 2020	8	6	3	17
Sep 2020	5	1	0	6
Oct 2020	11	7	1	19
Nov 2020	10	8	2	20
Dec 2020	18	5	1	24
Jan 2021	16	6	0	22
Feb 2021	6	3	3	12
Mar 2021	10	5	1	16
Apr 2021	15	4	0	19
May 2021	13	4	5	22
Jun 2021	8	5	1	14
Jul 2021	3	7	0	10
Aug 2021	8	2	2	12
Sep 2021	5	6	2	13
Oct 2021	4	21	0	25
Nov 2021	11	17	0	28
Dec 2021	10	5	4	19
Jan 2022	10	15	0	25
Feb 2022	5	5	1	11
Mar 2022	3	3	2	8
Apr 2022	7	3	1	11
May 2022	4	1	1	6
Jun 2022	2	2	4	8
Jul 2022	18	2	5	25
Aug 2022	6	5	1	12
Sep 2022	4	3	1	8
Oct 2022	9	4	5	18
Nov 2022	6	11	1	18
Dec 2022	8	5	2	15
Jan 2023	6	8	1	15
Feb 2023	7	1	1	9
Mar 2023	13	5	1	19
Apr 2023	1	1	0	2
May 2023	3	4	0	7
Jun 2023	1	5	0	6
Jul 2023	1	3	0	4
Aug 2023	7	2	1	10
Sep 2023	3	3	1	7
Oct 2023	3	1	1	5
Nov 2023	3	1	0	4
Dec 2023	8	4	2	14
Jan 2024	9	5	3	17
Feb 2024	2	0	2
Mar 2024	3	8	0	11
Apr 2024	7	4	1	12
May 2024	4	1	1	6
Jun 2024	37	4	3	44
Jul 2024	16	5	2	23
Aug 2024	35	5	4	44
Sep 2024	11	4	4	19
Oct 2024	8	5	4	17
Nov 2024	7	3	3	13
Dec 2024	8	5	0	13
Jan 2025	5	7	0	12
Feb 2025	18	5	1	24
Mar 2025	11	7	2	20
Apr 2025	5	11	2	18
May 2025	17	6	5	28
Jun 2025	30	11	6	47
Jul 2025	7	11	2	20
Aug 2025	13	10	4	27
Sep 2025	28	13	0	41
Oct 2025	25	19	4	48
Nov 2025	19	24	4	47
Dec 2025	19	7	2	28
Jan 2026	28	12	4	44
Feb 2026	12	7	5	24
Mar 2026	15	28	3	46
Apr 2026	32	18	2	52
May 2026	7	5	2	14

Viewed (geographical distribution)

Total article views: 2,281 (including HTML, PDF, and XML) Thereof 2,271 with geography defined and 10 with unknown origin.

Country	#	Views	%

1

1

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Latest update: 26 May 2026


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Weather dependent estimation of continent-wide wind power generation based on spatio-temporal clustering

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4 citations as recorded by crossref.