000 | 01386 a2200253 4500 | ||
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005 | 20190813120141.0 | ||
008 | 190805b xxu||||| |||| 00| 0 eng d | ||
020 | _a9781138316829 | ||
040 | _cIIT Kanpur | ||
041 | _aeng | ||
082 |
_a621.042 _bAn13 |
||
245 |
_aAnalytics and optimization for renewable energy integration _cNing Zhang ... [et al.] |
||
260 |
_aBoca Raton _bCRC Press _c2019 |
||
300 | _axxii, 371p | ||
440 | _aEnergy analytics | ||
520 | _aThe scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets. | ||
650 | _aRenewable energy sources | ||
650 | _aRenewable resource integration | ||
700 | _aZhang, Ning | ||
700 | _aKang , Chongqing | ||
700 | _aDu, Ershun | ||
700 | _aWang, Yi | ||
942 | _cBK | ||
999 |
_c560576 _d560576 |