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Elsevier

Ocean Energy Modeling and Simulation with Big Data

Computational Intelligence for System Optimization and Grid Integration

  • 1 Edición - 21 de abril de 2020
  • Última edición
  • Autores: Vikas Khare, Savita Nema, Prashant Baredar
  • Idioma: Inglés

Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration offers the fundamental and practical aspects of big da… Leer más

Descripción

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.

Puntos claves

  • 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

De interès para

engineering researchers and practitioners in the field of wave energy, tidal energy, offshore wind and other ocean energy conversion technologies. Energy engineering graduate students.

Índice

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

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 21 de abril de 2020
  • Idioma: Inglés

Sobre los autores

VK

Vikas Khare

Vikas Khare is the Associate Dean 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.
Afiliaciones y experiencia
(PostDoc, PhD, M.Tech., PGDM, B.E., FSASS), Associate Dean School of Technology, Management and Engineering, NMIMS, Indore Madhya Pradesh, India

SN

Savita Nema

Savita Nema is currently a professor in the Department of Electrical Engineering, Maulana Azad National Institute of Technology (MANIT), Bhopal, India. She received her B.E. degree in Electrical Engineering in 1990 and her M.E. degree in Control Systems in 1993, both from Jabalpur Engineering College, Madhya Pradesh, India. She went on to complete her Ph.D. degree from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV) Bhopal, India, in 2011. She has more than 25 years’ experience in teaching and research. She was the head of the Electrical Engineering Department during 2016-2018. In addition, she was also a Chairperson of the Energy Centre, MANIT during 2018. She has guided around 50 M.Tech. dissertation and two PhDs and currently supervising candidates for doctoral degree. Dr. Nema has published more than 100 research papers in national/international journals/conferences, and is a member of the Advisory Board of MP Regulatory Electricity commission (MPREC) in Bhopal since Feb 2014. She has coauthored a book on Tidal Energy published by Elsevier and has been expert and chairman of various selection committees. She is the winner of DG NCC plaque of Honour award for the year 2000.
Afiliaciones y experiencia
Department of Electrical Engineering, Maulana Azad National Institute of Technology (MANIT), Bhopal, India

PB

Prashant Baredar

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.
Afiliaciones y experiencia
Professor and Head, Energy Department, Maulana Azad National Institute of Technology (MANIT), Bhopal, India

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