| 000 | 01775nam a2200349 i 4500 | ||
|---|---|---|---|
| 001 | CR9781108859806 | ||
| 003 | UkCbUP | ||
| 005 | 20240730160825.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 190715s2021||||enk o ||1 0|eng|d | ||
| 020 | _a9781108859806 (ebook) | ||
| 020 | _z9781108494755 (hardback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
| 050 | 0 | 0 |
_aTK1001 _b.A36 2021 |
| 082 | 0 | 0 |
_a621.3101/5118 _223 |
| 245 | 0 | 0 |
_aAdvanced data analytics for power systems / _cedited by Ali Tajer, Samir M. Perlaza, H. Vincent Poor. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2021. |
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| 300 |
_a1 online resource (xxii, 557 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 26 Mar 2021). | ||
| 520 | _aExperts 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. | ||
| 650 | 0 |
_aElectric power systems _xMathematical models. _914006 |
|
| 700 | 1 |
_aTajer, Ali, _eeditor. _975082 |
|
| 700 | 1 |
_aPoor, H. Vincent, _eeditor. _975083 |
|
| 700 | 1 |
_aPerlaza, Samir M., _eeditor. _975084 |
|
| 776 | 0 | 8 |
_iPrint version: _z9781108494755 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/9781108859806 |
| 942 | _cEBK | ||
| 999 |
_c84349 _d84349 |
||