Advanced data analytics for power systems
Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big da...
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Sprache: | English |
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Cambridge University Press
2021
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245 | 0 | 0 | |a Advanced data analytics for power systems |c edited by Ali Tajer, Samir M. Perlaza, H. Vincent Poor |
264 | 1 | |a Cambridge |b Cambridge University Press |c 2021 | |
300 | |a 1 Online-Ressource (xxii, 557 Seiten) | ||
336 | |b txt | ||
337 | |b c | ||
338 | |b cr | ||
520 | |a Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and industry with backgrounds in power systems engineering, applied mathematics, and computer science. | ||
700 | 1 | |a Perlaza, Samir M. | |
700 | 1 | |a Poor, H. Vincent | |
700 | 1 | |a Tajer, Ali | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781108494755 |
856 | 4 | 0 | |l TUM01 |p ZDB-20-CTM |q TUM_PDA_CTM |u https://doi.org/10.1017/9781108859806 |3 Volltext |
912 | |a ZDB-20-CTM | ||
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Datensatz im Suchindex
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id | ZDB-20-CTM-CR9781108859806 |
illustrated | Not Illustrated |
indexdate | 2024-12-18T12:04:27Z |
institution | BVB |
isbn | 9781108859806 |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
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physical | 1 Online-Ressource (xxii, 557 Seiten) |
psigel | ZDB-20-CTM |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | Cambridge University Press |
record_format | marc |
spelling | Advanced data analytics for power systems edited by Ali Tajer, Samir M. Perlaza, H. Vincent Poor Cambridge Cambridge University Press 2021 1 Online-Ressource (xxii, 557 Seiten) txt c cr Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and industry with backgrounds in power systems engineering, applied mathematics, and computer science. Perlaza, Samir M. Poor, H. Vincent Tajer, Ali Erscheint auch als Druck-Ausgabe 9781108494755 TUM01 ZDB-20-CTM TUM_PDA_CTM https://doi.org/10.1017/9781108859806 Volltext |
spellingShingle | Advanced data analytics for power systems |
title | Advanced data analytics for power systems |
title_auth | Advanced data analytics for power systems |
title_exact_search | Advanced data analytics for power systems |
title_full | Advanced data analytics for power systems edited by Ali Tajer, Samir M. Perlaza, H. Vincent Poor |
title_fullStr | Advanced data analytics for power systems edited by Ali Tajer, Samir M. Perlaza, H. Vincent Poor |
title_full_unstemmed | Advanced data analytics for power systems edited by Ali Tajer, Samir M. Perlaza, H. Vincent Poor |
title_short | Advanced data analytics for power systems |
title_sort | advanced data analytics for power systems |
url | https://doi.org/10.1017/9781108859806 |
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