000 | 02014cam a22003615i 4500 | ||
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001 | 0000032143 | ||
005 | 20230921135326.0 | ||
008 | 200219s2020 mau 000 0 eng | ||
010 | _a 2020933349 | ||
020 |
_a9780128189047 : _c$150.00 _q(paperback) |
||
035 | _a21438283 | ||
040 |
_aDLC _beng _erda _cDLC |
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042 | _ac=Program for Cooperative Cataloging | ||
100 | 1 |
_aKhare, Vikas, _eauthor. |
|
245 | 1 | 0 |
_aOcean energy modeling and simulation with big data : _bcomputational intelligence for system optimization and grid integration / _cVikas Khare, Savita Nema, Prashant Baredar. |
250 | _a1. | ||
260 |
_aWaltham : _bElsevier, _c2020. |
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263 | _a1111 | ||
264 | 1 |
_aWaltham : _bElsevier, _c2020. |
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300 | _axiii, 355p. | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_aunmediated _bn _2rdamedia |
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338 |
_avolume _bnc _2rdacarrier |
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520 |
_a"Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration offers the fundamental and practical aspects of big data solutions applied to ocean and offshore energy systems. The book explores techniques for assessment of tidal, wave and offshore wind energy systems. It presents the use of data mining software to simulate systems and Hadoop technology to evaluate control systems. The use of Map Reduce algorithms in systems optimization is examined, along with the application of NoSQL in systems management. Actual data collection through web-based applications and social networks is discussed, along with practical applications of recommendations"-- _cProvided by publisher. |
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700 | 1 |
_aNema, Savita, _eauthor. |
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700 | 1 |
_aBaredar, Prashant, _eauthor. |
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906 |
_a0 _bibc _corignew _d2 _eepcn _f20 _gy-gencatlg |
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908 | _a221018 | ||
925 | 0 |
_aacquire _b1 shelf copy _xpolicy default |
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989 | _a20230822095114.0 | ||
999 |
_c8005 _d8005 |