1 row is stored for this page
Field | Field type | Value |
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_creationDate | Datetime | 2021-07-03 10:56:36 PM |
_pageID | Integer | 68,207 |
_pageName | Page | Reference:Reference-015002 |
_pageTitle | String | Reference-015002 |
_pageNamespace | Integer | 3,020 |
1 row is stored for this page
Field | Field type | Value |
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PublicationMultipleModelsCargo | String | HYPE |
1 row is stored for this page
Field | Field type | Allowed values | Value |
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FeatureRef | String | Yes · No | No |
PublicationClusterID | String | | 0 |
MS_PublicationClusterID | String | | 3097092373 |
Semantic_ID | String | | 1587bc1dab129e937aeba9d36d370a100dacbc7f |
PublicationCitationsNr | String | | 3 |
PublicationWhatKindOf | String | a module overview describing a module · a module application description · module related theory · reference to source code · none of the above | a module application description |
PublicationNrofModels | String | a single module · coupled modules · multiple modules that are not coupled · none of the above | a single module |
PublicationHPCCYesno | String | Yes · No | No |
PublicationHPCCprojectCargo | String | | |
PublicationAnimationsCargo | String | | |
1 row is stored for this page
Field | Field type | Allowed values | Value |
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Firstname | String | | Ogliari, Emanuele; Nespoli, Alfredo; Mussetta, Marco; Pretto, Silvia; Zimbardo, Andrea; Bonfanti, Nicholas; Aufiero, Manuele; |
BibType | String | journalArticle · report · bookSection · webpage · conferencePaper · MISC | journalArticle |
Title | String | | A Hybrid Method for the Run-Of-The-River Hydroelectric Power Plant Energy Forecast: HYPE Hydrological Model and Neural Network |
Editors | String | | |
Year | Date | | 2020-10-15 |
Journal | String | | Forecasting |
Booktitle | String | | |
Volume | String | | 2 |
Pages | String | | 410–428 |
URL | String | | https://www.mdpi.com/2571-9394/2/4/22 |
DOI | String | | 10.3390/forecast2040022 |
ISBN | String | | |
Note | String | | Auto downloaded ref at: 2021-07-03 |