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| author_facet |
Yousif, Muhammad Ai, Qian Gao, Yang Wattoo, Waqas Ahmad Hao, Ran Jiang, Ziqing Yousif, Muhammad Ai, Qian Gao, Yang Wattoo, Waqas Ahmad Hao, Ran Jiang, Ziqing |
|---|---|
| author |
Yousif, Muhammad Ai, Qian Gao, Yang Wattoo, Waqas Ahmad Hao, Ran Jiang, Ziqing |
| spellingShingle |
Yousif, Muhammad Ai, Qian Gao, Yang Wattoo, Waqas Ahmad Hao, Ran Jiang, Ziqing Data Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks Information Systems and Management Computer Science Applications Information Systems |
| author_sort |
yousif, muhammad |
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Yousif, Muhammad Ai, Qian Gao, Yang Wattoo, Waqas Ahmad Hao, Ran Jiang, Ziqing 2306-5729 MDPI AG Information Systems and Management Computer Science Applications Information Systems http://dx.doi.org/10.3390/data4010024 <jats:p>Datasets are significant for researchers to test the functionality of their proposed strategies for the microgrid dispatch. This article presents a dataset to help researchers in testing their algorithms related to the dispatch problem of microgrids coupled with natural gas networks. This preliminary release of a microgrid dispatch dataset contains data related to microgrid components (like solar PV, wind turbine, fuel cell and batteries) and natural gas network elements connected with the microgrid (e.g., micro gas turbine). It also includes the data associated with the authors’ proposed scheduling strategy and its dispatch results. The provided dataset can be used to reproduce the authors’ proposed strategy. The presented dataset further can be used for comparisons of other researchers’ proposed strategies. These comparisons will make a strategy’s features more evident.</jats:p> Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks Data |
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10.3390/data4010024 |
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MDPI AG, 2019 |
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MDPI AG, 2019 |
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| title |
Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks |
| title_unstemmed |
Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks |
| title_full |
Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks |
| title_fullStr |
Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks |
| title_full_unstemmed |
Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks |
| title_short |
Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks |
| title_sort |
dataset for scheduling strategies for microgrids coupled with natural gas networks |
| topic |
Information Systems and Management Computer Science Applications Information Systems |
| url |
http://dx.doi.org/10.3390/data4010024 |
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2019 |
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24 |
| description |
<jats:p>Datasets are significant for researchers to test the functionality of their proposed strategies for the microgrid dispatch. This article presents a dataset to help researchers in testing their algorithms related to the dispatch problem of microgrids coupled with natural gas networks. This preliminary release of a microgrid dispatch dataset contains data related to microgrid components (like solar PV, wind turbine, fuel cell and batteries) and natural gas network elements connected with the microgrid (e.g., micro gas turbine). It also includes the data associated with the authors’ proposed scheduling strategy and its dispatch results. The provided dataset can be used to reproduce the authors’ proposed strategy. The presented dataset further can be used for comparisons of other researchers’ proposed strategies. These comparisons will make a strategy’s features more evident.</jats:p> |
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| author | Yousif, Muhammad, Ai, Qian, Gao, Yang, Wattoo, Waqas Ahmad, Hao, Ran, Jiang, Ziqing |
| author_facet | Yousif, Muhammad, Ai, Qian, Gao, Yang, Wattoo, Waqas Ahmad, Hao, Ran, Jiang, Ziqing, Yousif, Muhammad, Ai, Qian, Gao, Yang, Wattoo, Waqas Ahmad, Hao, Ran, Jiang, Ziqing |
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| description | <jats:p>Datasets are significant for researchers to test the functionality of their proposed strategies for the microgrid dispatch. This article presents a dataset to help researchers in testing their algorithms related to the dispatch problem of microgrids coupled with natural gas networks. This preliminary release of a microgrid dispatch dataset contains data related to microgrid components (like solar PV, wind turbine, fuel cell and batteries) and natural gas network elements connected with the microgrid (e.g., micro gas turbine). It also includes the data associated with the authors’ proposed scheduling strategy and its dispatch results. The provided dataset can be used to reproduce the authors’ proposed strategy. The presented dataset further can be used for comparisons of other researchers’ proposed strategies. These comparisons will make a strategy’s features more evident.</jats:p> |
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| imprint | MDPI AG, 2019 |
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| institution | DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, FID-BBI-DE-23, DE-105, DE-14, DE-Ch1, DE-L229 |
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| spelling | Yousif, Muhammad Ai, Qian Gao, Yang Wattoo, Waqas Ahmad Hao, Ran Jiang, Ziqing 2306-5729 MDPI AG Information Systems and Management Computer Science Applications Information Systems http://dx.doi.org/10.3390/data4010024 <jats:p>Datasets are significant for researchers to test the functionality of their proposed strategies for the microgrid dispatch. This article presents a dataset to help researchers in testing their algorithms related to the dispatch problem of microgrids coupled with natural gas networks. This preliminary release of a microgrid dispatch dataset contains data related to microgrid components (like solar PV, wind turbine, fuel cell and batteries) and natural gas network elements connected with the microgrid (e.g., micro gas turbine). It also includes the data associated with the authors’ proposed scheduling strategy and its dispatch results. The provided dataset can be used to reproduce the authors’ proposed strategy. The presented dataset further can be used for comparisons of other researchers’ proposed strategies. These comparisons will make a strategy’s features more evident.</jats:p> Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks Data |
| spellingShingle | Yousif, Muhammad, Ai, Qian, Gao, Yang, Wattoo, Waqas Ahmad, Hao, Ran, Jiang, Ziqing, Data, Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks, Information Systems and Management, Computer Science Applications, Information Systems |
| title | Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks |
| title_full | Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks |
| title_fullStr | Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks |
| title_full_unstemmed | Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks |
| title_short | Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks |
| title_sort | dataset for scheduling strategies for microgrids coupled with natural gas networks |
| title_unstemmed | Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks |
| topic | Information Systems and Management, Computer Science Applications, Information Systems |
| url | http://dx.doi.org/10.3390/data4010024 |