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
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.
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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.
Prashant Baredar is a professor and head in Energy Department, Maulana Azad National Institute of Technology (MANIT), Bhopal, India. He achieved his Ph.D. degree in Hybrid Energy System from Rajiv Gandhi Technological University Bhopal. Dr. Baredar has 20 years' experience in Mechanical Engineering. He is on the editorial board of many international journals. He has successfully organized five national seminars and conferences on Energy topic and delivered 25 expert lectures & invited talks. He has guided 6 PhD thesis and 42 M.Tech thesis. He has published one patent on reconfigurable mechanism for wind turbine blade. Dr. Baredar has published 102 research papers in national/international Journals and at conferences, and contributed to the books entitled Basic Mechanical Engineering, Practical Journal of Basic Mechanical Engineering, Renewable Energy sources and Practical Journal of Basic Civil Engineering& Engineering Mechanics.
Inhaltsangabe
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
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
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