Big Data Application in Power Systems

Book Big Data Application in Power Systems Cover

Download book entitled Big Data Application in Power Systems by Reza Arghandeh and published by Elsevier in PDF, EPUB and Kindle. Read Big Data Application in Power Systems book directly from your devices anywhere anytime. Click Download Book button to get book file. Read some info about this book below.

  • Publisher : Elsevier
  • Release : 27 November 2017
  • ISBN : 9780128119693
  • Page : 480 pages
  • Rating : 4.5/5 from 103 voters

Big Data Application in Power Systems Book PDF summary

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 and spatiotemporal data. The book chapters discuss challenges, opportunities, success stories and pathways for utilizing big data value in smart grids. Provides expert analysis of the latest developments by global authorities Contains detailed references for further reading and extended research Provides additional cross-disciplinary lessons learned from broad disciplines such as statistics, computer science and bioinformatics Focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data

DOWNLOAD BOOK

Big Data Application in Power Systems

Big Data Application in Power Systems
  • Author : Reza Arghandeh,Yuxun Zhou
  • Publisher : Elsevier
  • Release Date : 2017-11-27
  • ISBN : 9780128119693
DOWNLOAD 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

Advanced Data Analytics for Power Systems

Advanced Data Analytics for Power Systems
  • Author : Ali Tajer,Samir M. Perlaza,H. Vincent Poor
  • Publisher : Cambridge University Press
  • Release Date : 2021-01-31
  • ISBN : 9781108494755
DOWNLOAD BOOKAdvanced Data Analytics for Power Systems

Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and industry with backgrounds in power systems engineering, applied mathematics, and computer science.

Big Data Analytics in Future Power Systems

Big Data Analytics in Future Power Systems
  • Author : Ahmed F. Zobaa,Trevor J. Bihl
  • Publisher : CRC Press
  • Release Date : 2018-08-14
  • ISBN : 9781351601290
DOWNLOAD BOOKBig Data Analytics in Future Power Systems

Power systems are increasingly collecting large amounts of data due to the expansion of the Internet of Things into power grids. In a smart grids scenario, a huge number of intelligent devices will be connected with almost no human intervention characterizing a machine-to-machine scenario, which is one of the pillars of the Internet of Things. The book characterizes and evaluates how the emerging growth of data in communications networks applied to smart grids will impact the grid efficiency and reliability.

Energy Management

Energy Management
  • Author : Valentin A. Boicea
  • Publisher : CRC Press
  • Release Date : 2021-06-27
  • ISBN : 9781000437683
DOWNLOAD BOOKEnergy Management

This book introduces the principle of carrying out a medium-term load forecast (MTLF) at power system level, based on the Big Data concept and Convolutionary Neural Network (CNNs). It also presents further research directions in the field of Deep Learning techniques and Big Data, as well as how these two concepts are used in power engineering. Efficient processing and accuracy of Big Data in the load forecast in power engineering leads to a significant improvement in the consumption pattern of

Global Energy Interconnection

Global Energy Interconnection
  • Author : Zhenya Liu
  • Publisher : Academic Press
  • Release Date : 2015-08-28
  • ISBN : 9780128044063
DOWNLOAD BOOKGlobal Energy Interconnection

Global energy network is an important platform to guarantee effective exploitation of global clean energy and ensure reliable energy supply for everybody. Global Energy Interconnection analyzes the current situation and challenges of global energy development, provides the strategic thinking, overall objective, basic pattern, construction method and development mode for the development of global energy network. Based on the prediction of global energy and electricity supply and demand in the future, with the development of UHV AC/DC and smart grid

Predictive Modelling for Energy Management and Power Systems Engineering

Predictive Modelling for Energy Management and Power Systems Engineering
  • Author : Ravinesh Deo,Pijush Samui,Sanjiban Sekhar Roy
  • Publisher : Elsevier
  • Release Date : 2020-09-30
  • ISBN : 9780128177730
DOWNLOAD BOOKPredictive Modelling for Energy Management and Power Systems Engineering

Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with

Decision Making Applications in Modern Power Systems

Decision Making Applications in Modern Power Systems
  • Author : Shady H.E. Abdel Aleem,Almoataz Youssef Abdelaziz,Ahmed F. Zobaa,Ramesh Bansal
  • Publisher : Academic Press
  • Release Date : 2019-09-21
  • ISBN : 9780128166260
DOWNLOAD BOOKDecision Making Applications in Modern Power Systems

Decision Making Applications in Modern Power Systems presents an enhanced decision-making framework for power systems. Designed as an introduction to enhanced electricity system analysis using decision-making tools, it provides an overview of the different elements, levels and actors involved within an integrated framework for decision-making in the power sector. In addition, it presents a state-of-play on current energy systems, strategies, alternatives, viewpoints and priorities in support of decision-making in the electric power sector, including discussions of energy storage and smart

New Technologies for Power System Operation and Analysis

New Technologies for Power System Operation and Analysis
  • Author : Huaiguang Jiang,Yingchen Zhang,Eduard Muljadi
  • Publisher : Academic Press
  • Release Date : 2020-10-30
  • ISBN : 9780128201695
DOWNLOAD BOOKNew Technologies for Power System Operation and Analysis

New Technologies for Power System Operation and Analysis considers the very latest developments in renewable energy integration and system operation, including electricity markets and wide-area monitoring systems and forecasting. Helping readers quickly grasp the essential information needed to address renewable energy integration challenges, this new book looks at basic power system mathematical models, advanced renewable integration and system optimizations from transmission and distribution system sides. Sections cover wind, solar, gas and petroleum, making this a useful reference for all engineers

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 Date : 2016-04-04
  • ISBN : 9783319215693
DOWNLOAD 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

Voltage-Sourced Converters in Power Systems

Voltage-Sourced Converters in Power Systems
  • Author : Amirnaser Yazdani,Reza Iravani
  • Publisher : John Wiley & Sons
  • Release Date : 2010-03-25
  • ISBN : 9780470551561
DOWNLOAD BOOKVoltage-Sourced Converters in Power Systems

Presents Fundamentals of Modeling, Analysis, and Control of Electric Power Converters for Power System Applications Electronic (static) power conversion has gained widespread acceptance in power systems applications; electronic power converters are increasingly employed for power conversion and conditioning, compensation, and active filtering. This book presents the fundamentals for analysis and control of a specific class of high-power electronic converters—the three-phase voltage-sourced converter (VSC). Voltage-Sourced Converters in Power Systems provides a necessary and unprecedented link between the principles of operation

Big Data in Engineering Applications

Big Data in Engineering Applications
  • Author : Sanjiban Sekhar Roy,Pijush Samui,Ravinesh Deo,Stavros Ntalampiras
  • Publisher : Springer
  • Release Date : 2018-05-02
  • ISBN : 9789811084768
DOWNLOAD BOOKBig Data in Engineering Applications

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume,

Big Data Analytics Strategies for the Smart Grid

Big Data Analytics Strategies for the Smart Grid
  • Author : Carol L. Stimmel
  • Publisher : CRC Press
  • Release Date : 2016-04-19
  • ISBN : 9781482218299
DOWNLOAD BOOKBig Data Analytics Strategies for the Smart Grid

By implementing a comprehensive data analytics program, utility companies can meet the continually evolving challenges of modern grids that are operationally efficient, while reconciling the demands of greenhouse gas legislation and establishing a meaningful return on investment from smart grid deployments.Readable and accessible, Big Data Analytic

AI and Big Data on IBM Power Systems Servers

AI and Big Data on IBM Power Systems Servers
  • Author : Scott Vetter,Ivaylo B. Bozhinov,Anto A John,Rafael Freitas de Lima,Ahmed.(Mash) Mashhour,James Van Oosten,Fernando Vermelho,Allison White,IBM Redbooks
  • Publisher : IBM Redbooks
  • Release Date : 2019-04-10
  • ISBN : 9780738457512
DOWNLOAD BOOKAI and Big Data on IBM Power Systems Servers

As big data becomes more ubiquitous, businesses are wondering how they can best leverage it to gain insight into their most important business questions. Using machine learning (ML) and deep learning (DL) in big data environments can identify historical patterns and build artificial intelligence (AI) models that can help businesses to improve customer experience, add services and offerings, identify new revenue streams or lines of business (LOBs), and optimize business or manufacturing operations. The power of AI for predictive analytics

AI and Big Data’s Potential for Disruptive Innovation

AI and Big Data’s Potential for Disruptive Innovation
  • Author : Strydom, Moses,Buckley, Sheryl
  • Publisher : IGI Global
  • Release Date : 2019-09-27
  • ISBN : 9781522596899
DOWNLOAD BOOKAI and Big Data’s Potential for Disruptive Innovation

Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative

Innovation in Energy Systems

Innovation in Energy Systems
  • Author : Taha Selim Ustun
  • Publisher : BoD – Books on Demand
  • Release Date : 2019-11-27
  • ISBN : 9781789841077
DOWNLOAD BOOKInnovation in Energy Systems

It has been a little over a century since the inception of interconnected networks and little has changed in the way that they are operated. Demand-supply balance methods, protection schemes, business models for electric power companies, and future development considerations have remained the same until very recently. Distributed generators, storage devices, and electric vehicles have become widespread and disrupted century-old bulk generation - bulk transmission operation. Distribution networks are no longer passive networks and now contribute to power generation. Old