| 000 | 01971nam a2200349Ia 4500 | ||
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| 001 | CRC0KE21474PDF | ||
| 003 | FlBoTFG | ||
| 005 | 20230513113329.0 | ||
| 006 | m o d | ||
| 007 | cr cn | ||
| 008 | 130619s2013 fluad ob 001 0 eng d | ||
| 020 | _a9780429071928 | ||
| 035 | _a(OCoLC)846495641 | ||
| 040 |
_aFlBoTFG _cFlBoTFG |
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| 082 |
_a621.31028563 _bO588 |
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| 090 |
_aTK1007 _b.O53 2013 |
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| 100 | 1 | _aOngsakul, Weerakorn and Vo, Dieu Ngoc | |
| 245 | 1 | 0 | _aArtificial Intelligence in Power System Optimization ; |
| 260 |
_aBoca Raton : _bTaylor & Francis, _cc2013. |
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| 300 | _a5200 p. : | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _a1. Introduction -- 2. Economic dispatch -- 3. Unit commitment -- 4. Hydrothermal scheduling -- 5. Optimal power flow -- 6. Optimal reactive power dispatch -- 7. Available transfer capability. | |
| 520 |
_aWith the considerable increase of AI applications, AI is being increasingly used to solve optimization problems in engineering. In the past two decades, the applications of artificial intelligence in power systems have attracted much research. This book covers the current level of applications of artificial intelligence to the optimization problems in power systems. This book serves as a textbook for graduate students in electric power system management and is also be useful for those who are interested in using artificial intelligence in power system optimization-- _cProvided by publisher. |
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| 530 | _aAlso available in print edition. | ||
| 538 | _aMode of access: World Wide Web. | ||
| 650 | 0 |
_aElectric power systems _xAutomatic control. |
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| 650 | 0 | _aIntelligent control systems. | |
| 655 | 7 |
_aElectronic books. _2lcsh |
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| 776 | 1 | _z9781578088058 (hardback) | |
| 856 | 4 | 0 |
_uhttp://marc.crcnetbase.com/isbn/9781466573420 _qapplication/PDF _zDistributed by publisher. Purchase or institutional license may be required for access. |
| 942 |
_2ddc _cEBK |
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| 999 |
_c1040 _d1040 |
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