Ocean Energy Modeling and Simulation with Big Data

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

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  • Author : Vikas Khare
  • Publisher : Butterworth-Heinemann
  • Pages : 370 pages
  • ISBN : 0128189053
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKOcean Energy Modeling and Simulation with Big Data

Ocean Energy Modeling and Simulation with Big Data

Ocean Energy Modeling and Simulation with Big Data
  • Author : Vikas Khare,Savita Nema,Prashant Baredar
  • Publisher : Butterworth-Heinemann
  • Release : 21 April 2020
GET THIS BOOKOcean Energy Modeling and Simulation with Big Data

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

Ocean Energy Modeling and Simulation with Big Data

Ocean Energy Modeling and Simulation with Big Data
  • Author : Vikas Khare,Savita Nema,Prashant Baredar
  • Publisher : Butterworth-Heinemann
  • Release : 01 May 2020
GET THIS BOOKOcean Energy Modeling and Simulation with Big Data

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

Internet of Energy Handbook

Internet of Energy Handbook
  • Author : Pawan Kumar,Srete Nikolovski,Z Y Dong
  • Publisher : CRC Press
  • Release : 01 June 2021
GET THIS BOOKInternet of Energy Handbook

The Internet of Energy (IoE), with the integration of advanced information and communication technologies (ICT), has led to a transformation of traditional networks to smart systems. Internet of Energy Handbook provides updated knowledge in the field of energy management with an Internet of Things (IoT) perspective. Features Explains the technological developments for energy management leading to a reduction in energy consumption through topics like smart energy systems, smart sensors, communication, techniques, and utilization Includes dedicated sections covering varied aspects related

Applied Statistical Modeling and Data Analytics

Applied Statistical Modeling and Data Analytics
  • Author : Srikanta Mishra,Akhil Datta-Gupta
  • Publisher : Elsevier
  • Release : 27 October 2017
GET THIS BOOKApplied Statistical Modeling and Data Analytics

Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciences provides a practical guide to many of the classical and modern statistical techniques that have become established for oil and gas professionals in recent years. It serves as a "how to" reference volume for the practicing petroleum engineer or geoscientist interested in applying statistical methods in formation evaluation, reservoir characterization, reservoir modeling and management, and uncertainty quantification. Beginning with a foundational discussion of exploratory data analysis, probability

Renewable Energy Devices and Systems with Simulations in MATLAB® and ANSYS®

Renewable Energy Devices and Systems with Simulations in MATLAB® and ANSYS®
  • Author : Frede Blaabjerg,Dan M. Ionel
  • Publisher : CRC Press
  • Release : 18 May 2017
GET THIS BOOKRenewable Energy Devices and Systems with Simulations in MATLAB® and ANSYS®

Due to the increasing world population, energy consumption is steadily climbing, and there is a demand to provide solutions for sustainable and renewable energy production, such as wind turbines and photovoltaics. Power electronics are being used to interface renewable sources in order to maximize the energy yield, as well as smoothly integrate them within the grid. In many cases, power electronics are able to ensure a large amount of energy saving in pumps, compressors, and ventilation systems. This book explains

Design and Optimization of Biogas Energy Systems

Design and Optimization of Biogas Energy Systems
  • Author : Prashant Baredar,Vikas Khare,Savita Nema
  • Publisher : Academic Press
  • Release : 18 June 2020
GET THIS BOOKDesign and Optimization of Biogas Energy Systems

Design and Optimization of Biogas Energy Systems presents an overview on planning, implementing, assessing and optimizing biogas systems, from fuel conversion to power generation. The book introduces the fundamental elements of bioenergy systems, highlighting the specificities of biogas systems. It discusses the current state of their adoption at a global level and the challenges faced by designers and operators. Methods for sizing, simulating and modeling are discussed, including prefeasibility analysis, available production processes, integration into hybrid energy systems, and the

Harness Oil and Gas Big Data with Analytics

Harness Oil and Gas Big Data with Analytics
  • Author : Keith R. Holdaway
  • Publisher : John Wiley & Sons
  • Release : 05 May 2014
GET THIS BOOKHarness Oil and Gas Big Data with Analytics

Use big data analytics to efficiently drive oil and gas exploration and production Harness Oil and Gas Big Data with Analytics provides a complete view of big data and analytics techniques as they are applied to the oil and gas industry. Including a compendium of specific case studies, the book underscores the acute need for optimization in the oil and gas exploration and production stages and shows how data analytics can provide such optimization. This spans exploration, development, production and

New Horizons for a Data-Driven Economy

New Horizons for a Data-Driven Economy
  • Author : José María Cavanillas,Edward Curry,Wolfgang Wahlster
  • Publisher : Springer
  • Release : 04 April 2016
GET THIS BOOKNew Horizons for a Data-Driven Economy

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores

High-Performance Modelling and Simulation for Big Data Applications

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  • Author : Joanna Kołodziej,Horacio González-Vélez
  • Publisher : Springer
  • Release : 25 March 2019
GET THIS BOOKHigh-Performance Modelling and Simulation for Big Data Applications

This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of

Machine Learning for Subsurface Characterization

Machine Learning for Subsurface Characterization
  • Author : Siddharth Misra,Hao Li,Jiabo He
  • Publisher : Gulf Professional Publishing
  • Release : 12 October 2019
GET THIS BOOKMachine Learning for Subsurface Characterization

Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods

Big Data Mining for Climate Change

Big Data Mining for Climate Change
  • Author : Zhihua Zhang
  • Publisher : Unknown Publisher
  • Release : 01 December 2019
GET THIS BOOKBig Data Mining for Climate Change

Big Data Mining for Climate Change addresses how to manage the vast amount of information available for analysis. Climate change and its environmental, economic and social consequences are widely recognized as the biggest, most interconnected problem facing humanity. There is a huge amount of potential information currently available...and it is growing exponentially. This book walks through the latest research and how to navigate the resources available using big data applications. It is appropriate for scientists and advanced students studying