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 design and optimization

Vikas Khare (Author), Savita Nema (Author), Prashant Baredar (Author)

9780128189047, Elsevier Science

Paperback, published 24 April 2020

370 pages
22.9 x 15.1 x 2.4 cm, 0.59 kg

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.

1. Fundamental and Principles of the Ocean Energy System2. Big Data Principles and Paradigm3. Ocean Energy Data Learning from Big Data4. Modeling of Ocean Energy System by Big Data Analysis5. Big Data Compliance for Innovative Ocean Models 6. Ocean Energy Data Stream Management System7. Market Basket Model of Ocean Energy System 8. Ocean Energy disinflation and the Utility Tradeoff9. Clustering approach in Ocean Energy Data10. Application of Mining Social Network Graph on the Ocean Energy System

Subject Areas: Alternative & renewable energy sources & technology [THX]