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Ocean Energy Modeling and Simulation with Big Data

Ocean Energy Modeling and Simulation with Big Data
  • Author : Vikas Khare
  • Publsiher : Butterworth-Heinemann
  • Release : 21 April 2020
  • ISBN : 0128189053
  • Pages : 370 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKOcean Energy Modeling and Simulation with Big Data

Summary:
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


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


Handbook of Research on Cloud Computing and Big Data Applications in IoT

Handbook of Research on Cloud Computing and Big Data Applications in IoT
  • Author : Gupta, B. B.,Agrawal, Dharma P.
  • Publisher : IGI Global
  • Release : 12 April 2019
GET THIS BOOKHandbook of Research on Cloud Computing and Big Data Applications in IoT

Today, cloud computing, big data, and the internet of things (IoT) are becoming indubitable parts of modern information and communication systems. They cover not only information and communication technology but also all types of systems in society including within the realms of business, finance, industry, manufacturing, and management. Therefore, it is critical to remain up-to-date on the latest advancements and applications, as well as current issues and challenges. The Handbook of Research on Cloud Computing and Big Data Applications in


Proceedings of the 20th International Ship and Offshore Structures Congress (ISSC 2018) Volume 3

Proceedings of the 20th International Ship and Offshore Structures Congress (ISSC 2018) Volume 3
  • Author : M.L. Kaminski,P. Rigo
  • Publisher : IOS Press
  • Release : 21 February 2020
GET THIS BOOKProceedings of the 20th International Ship and Offshore Structures Congress (ISSC 2018) Volume 3

The International Ship and Offshore Structures Congress (ISSC) is a forum for the exchange of information by experts undertaking and applying marine structural research. The aim of the ISSC is to facilitate the evaluation and dissemination of results from recent investigations, to make recommendations for standard design procedures and criteria, to discuss research in progress and planned, to identify areas requiring future research and to encourage international collaboration in furthering these aims. Ships and other marine structures used for transportation,


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

High-Performance Modelling and Simulation for Big Data Applications
  • 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


Big Data Application in Power Systems

Big Data Application in Power Systems
  • Author : Reza Arghandeh,Yuxun Zhou
  • Publisher : Elsevier
  • Release : 27 November 2017
GET THIS BOOKBig Data Application in Power Systems

Big Data Application in Power Systems brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity of measurement data in electricity transmission and distribution level. The book focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous



Big Data Science and Analytics for Smart Sustainable Urbanism

Big Data Science and Analytics for Smart Sustainable Urbanism
  • Author : Simon Elias Bibri
  • Publisher : Springer
  • Release : 30 May 2019
GET THIS BOOKBig Data Science and Analytics for Smart Sustainable Urbanism

We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms



Big Data Mining for Climate Change

Big Data Mining for Climate Change
  • Author : Zhihua Zhang
  • Publisher : Anonim
  • 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



Big Data Analytics Using Multiple Criteria Decision-Making Models

Big Data Analytics Using Multiple Criteria Decision-Making Models
  • Author : Ramakrishnan Ramanathan,Muthu Mathirajan,A. Ravi Ravindran
  • Publisher : CRC Press
  • Release : 12 July 2017
GET THIS BOOKBig Data Analytics Using Multiple Criteria Decision-Making Models

Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data and Business Analytics. In this volume, the focus will be on modelling-based tools for Business Analytics (BA), with exclusive focus on the sub-field of MCDM within the domain of operations research. The


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


Computation and Big Data for Transport

Computation and Big Data for Transport
  • Author : Pedro Diez,Pekka Neittaanmäki,Jacques Periaux,Tero Tuovinen,Jordi Pons-Prats
  • Publisher : Springer Nature
  • Release : 28 February 2020
GET THIS BOOKComputation and Big Data for Transport

This book gathers the outcomes of the second ECCOMAS CM3 Conference series on transport, which addressed the main challenges and opportunities that computation and big data represent for transport and mobility in the automotive, logistics, aeronautics and marine-maritime fields. Through a series of plenary lectures and mini-forums with lectures followed by question-and-answer sessions, the conference explored potential solutions and innovations to improve transport and mobility in surface and air applications. The book seeks to answer the question of how computational


A User's Guide to SHALWV

A User's Guide to SHALWV
  • Author : Steven A. Hughes,Robert E. Jensen
  • Publisher : Anonim
  • Release : 06 March 1986
GET THIS BOOKA User's Guide to SHALWV

SHALWV is a numerical model that simulates shallow-water wave growth, propagation, and decay in a directional spectrum over an arbitrary bathymetry. It is a time-dependent model requiring a primary input of the wind speed and wind direction at each grid point. Part I of this report contains an overview of SHALWV consisting of the model description, the theoretical background, and the model applications and limitations. Part II provides the information necessary to execute the model, such as model conventions, model