96,95 €
96,95 €
inkl. MwSt.
Sofort per Download lieferbar
48 °P sammeln
96,95 €
96,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
48 °P sammeln
Als Download kaufen
96,95 €
inkl. MwSt.
Sofort per Download lieferbar
48 °P sammeln
Jetzt verschenken
96,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
48 °P sammeln
  • Format: ePub

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…mehr

  • Geräte: eReader
  • ohne Kopierschutz
  • eBook Hilfe
  • Größe: 22.73MB
Produktbeschreibung
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.

  • Introduces computational methods for processing and analyzing data to predict ocean energy system production, assess their efficiency, and ensure their reliable connection to power grids
  • Covers data processing solutions like Hadoop, NoSQL, Map Reduce and Lambda, discussing their applications in ocean energy for system design and optimization
  • Provides practical exercises that demonstrate the concepts explored in each chapter

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Vikas Khare is an associate professor at the School of Technology, Management and Engineering, NMIMS, Indore Madhya Pradesh, India. He obtained his B.Tech in Electrical Engineering in 2007 from GEC Sagar, M.Tech (Honors) in Energy Management from DAVV Indore in 2011, and Ph.D. from National Institute of Technology Bhopal, India in 2016, with teaching experience of 12 years. His main research interests are renewable energy systems, optimization techniques and game theory and Big Data. He is also a certified energy manager under the bureau of energy efficiency in India. Dr. Khare has published various research papers in reputed journals such as Elsevier and Taylor and Francis and published books on Renewable Energy in Balaji Publication Fundamentals of Electrical Engineering, Fundamentals of Electrical & Electronics Engineering, Fundamentals of Electronics Engineering in Dhanpat Rai Publication and one book of Tidal energy system, Elsevier publication USA. He is also Nominee member of computer society of India.