000			01985cam a2200361 i 4500
999			_c27281 _d27281
006			m o d
007			cr un|---aucuu
008			200509s2020 enka ob 001 0 eng d
015			_aGBC055156 _2bnb
016	7		_a019786238 _2Uk
020			_a0128189053
020			_a9780128189054 _q(electronic bk.)
020			_a0128189045
020			_a9780128189047
040			_aEBLCP _beng _erda _epn
082	0	4	_a333.91/411 _223
100	1		_aKhare, Vikas,
245	1	0	_aOcean energy modeling and simulation with big data : _bcomputational intelligence for system optimization and grid integration / _cVikas Khare, Savita Nema and Prashant Baredar.
260			_aSingapore : _bElsevier, _c2020.
300			_a1 online resource (xiii, 355 pages) : _billustrations (some color)
504			_aIncludes bibliographical references and index.
505	0		_aPreface -- 1. Fundamental and principles of the ocean energy system -- 2. Big data principles and paradigm -- 3. Ocean energy data learning from big data -- 4. Modeling of ocean energy system by big data analysis -- 5. Big data compliance for innovative ocean models -- 6. Ocean energy data stream management system -- 7. Market basket model of ocean energy system -- 8. Ocean energy disinflation and the utility tradeoff -- 9. Clustering approach in ocean energy data -- 10. Application of mining social network graph on the ocean energy system -- Index.
650		0	_aOcean energy resources _xComputer simulation.
650		0	_aBig data.
650		6	_a�Energie des mers _xSimulation par ordinateur.
650		6	_aDonn�ees volumineuses.
650		7	_aBig data. _2fast
700	1		_aNema, Savita, _eauthor.
700	1		_aBaredar, Prashant, _eauthor.
776	0	8	_iPrint version: _aKhare, Vikas. _tOcean energy modeling and simulation with big data. _dAmsterdam : Butterworth-Heinemann, 2020 _z9780128189047 _w(OCoLC)1173135105
856	4	0	_uhttps://www.sciencedirect.com/science/book/9780128189047
942			_cEBK