Reference:Reference-026235: Difference between revisions
From CSDMS
Created page with "{{CSDMS reference template cargo |DOIentry=10.3390/su16020898 }} {{RefsInt1 |FeatureRef=No |PublicationClusterID=0 |MS_PublicationClusterID=0 |Semantic_ID=5ed30f0919e75da2d826359b44077f6dfc158b28 |PublicationWhatKindOf=a module application description |PublicationHPCCYesno=No |PublicationNrofModels=a single module }} {{RefsInt2 |PublicationMultipleModelsCargo=WRF }} {{RefsInt3}}" |
m Text replacement - "None" to "" |
||
| (4 intermediate revisions by 2 users not shown) | |||
| Line 1: | Line 1: | ||
{{ | {{BibEntryCargo | ||
| | |Firstname=Che, Guanghui; Zhou, Daocheng; Wang, Rui; Zhou, Lei; Zhang, Hongfu; Yu, Sheng; | ||
|BibType=journalArticle | |||
|Title=Wind Energy Assessment in Forested Regions Based on the Combination of WRF and LSTM-Attention Models | |||
|Year=2024-01-20 | |||
|Journal=Sustainability | |||
|Booktitle= | |||
|Volume=16 | |||
|Pages=898 | |||
|URL=https://www.mdpi.com/2071-1050/16/2/898 | |||
|DOI=10.3390/su16020898 | |||
|Note=Auto downloaded ref at: 2024-09-05 | |||
}} | }} | ||
{{RefsInt1 | {{RefsInt1 | ||
| Line 6: | Line 16: | ||
|PublicationClusterID=0 | |PublicationClusterID=0 | ||
|MS_PublicationClusterID=0 | |MS_PublicationClusterID=0 | ||
|Semantic_ID=5ed30f0919e75da2d826359b44077f6dfc158b28 | |Semantic_ID=5ed30f0919e75da2d826359b44077f6dfc158b28 |CorpusID=267148810 | ||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |||
|PublicationHPCCYesno=No | |PublicationHPCCYesno=No | ||
}} | }} | ||
{{RefsInt2 | {{RefsInt2 | ||
|PublicationMultipleModelsCargo=WRF | |PublicationMultipleModelsCargo=WRF | ||
}} | }} | ||
{{RefsInt3}} | {{RefsInt3 | ||
|PublicationAnimationsCargo= | |||
}} | |||
Latest revision as of 13:51, 12 November 2024
| Author(s) | Che, Guanghui; Zhou, Daocheng; Wang, Rui; Zhou, Lei; Zhang, Hongfu; Yu, Sheng; | |
| BibType | journalArticle | |
| Title | Wind Energy Assessment in Forested Regions Based on the Combination of WRF and LSTM-Attention Models | |
| Editors | ||
| Year | 2024-01-20 | |
| Journal | Sustainability | |
| Booktitle | ||
| Volume | 16 | |
| Pages | 898 | |
| URL | https://www.mdpi.com/2071-1050/16/2/898 | |
| DOI | 10.3390/su16020898 | |
| ISBN | ||
| Note | Auto downloaded ref at: 2024-09-05
| |
| |
||
| Highlighted paper on group site | ||
| Highlight text | ||
| Highlight image | ||
| Which groups | ||
| Feature reference | No | |
| PublicationClusterID | 0 | |
| MS_PublicationClusterID | 0 | |
| Semantic_ID | 5ed30f0919e75da2d826359b44077f6dfc158b28 | |
| Nr of citations | 1 | |
| Sort of publication | a module application description | |
| Sort of model publication | a single module | |
| Is the CSDMS HPC used | No | |
| If HPC is used, for what project was it?: | ||
| Associated simulation movie if any: |
| |
| Model(s) discussed: | WRF
|
