Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration

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 gridsCovers data processing solutions like Hadoop, NoSQL, Map Reduce and Lambda, discussing their applications in ocean energy for system design and optimizationProvides practical exercises that demonstrate the concepts explored in each chapter

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