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Availability estimation of wind power forecasting and optimization of day-ahead unit commitment
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| Published in: | Journal of Modern Power Systems and Clean Energy |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2019
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| Subjects: | |
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| _version_ | 1864030187510824960 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Journal of Modern Power Systems and Clean Energy |
| description | |
| discipline_display | Environmental Sciences |
| discipline_facet | Environmental Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:30776 |
| institution | FRELIP |
| journal_source_facet | Journal of Modern Power Systems and Clean Energy |
| publishDate | 2019 |
| publishDateSort | 2019 |
| record_format | rss_article |
| spellingShingle | Availability estimation of wind power forecasting and optimization of day-ahead unit commitment — — — — — Energy Environmental Management Environmental Sciences |
| sub_discipline_display | Environmental Management |
| sub_discipline_facet | Environmental Management |
| subject_display | — — — — — Energy Environmental Management Environmental Sciences — — — — — Energy Environmental Management Environmental Sciences |
| subject_facet | — — — — — Energy Environmental Management Environmental Sciences |
| title | Availability estimation of wind power forecasting and optimization of day-ahead unit commitment |
| title_auth | Availability estimation of wind power forecasting and optimization of day-ahead unit commitment |
| title_full | Availability estimation of wind power forecasting and optimization of day-ahead unit commitment |
| title_fullStr | Availability estimation of wind power forecasting and optimization of day-ahead unit commitment |
| title_full_unstemmed | Availability estimation of wind power forecasting and optimization of day-ahead unit commitment |
| title_short | Availability estimation of wind power forecasting and optimization of day-ahead unit commitment |
| title_sort | availability estimation of wind power forecasting and optimization of day-ahead unit commitment |
| topic | — — — — — Energy Environmental Management Environmental Sciences |
| url | https://link.springer.com/article/10.1007/s40565-019-00571-5 |