000 02014cam a22003615i 4500
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
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.
263 _a1111
264 1 _aWaltham :
_bElsevier,
_c2020.
300 _axiii, 355p.
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
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.
700 1 _aNema, Savita,
_eauthor.
700 1 _aBaredar, Prashant,
_eauthor.
906 _a0
_bibc
_corignew
_d2
_eepcn
_f20
_gy-gencatlg
908 _a221018
925 0 _aacquire
_b1 shelf copy
_xpolicy default
989 _a20230822095114.0
999 _c8005
_d8005