Big Data Application in Power Systems

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  • Author : Reza Arghandeh
  • Publisher : Elsevier
  • Pages : 480 pages
  • ISBN : 0128119691
  • Rating : /5 from reviews
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Download or Read online Big Data Application in Power Systems full in PDF, ePub and kindle. this book written by Reza Arghandeh and published by Elsevier which was released on 27 November 2017 with total page 480 pages. We cannot guarantee that Big Data Application in Power Systems book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

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 BOOK Big 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 Analytics in Future Power Systems

Big Data Analytics in Future Power Systems
  • Author : Ahmed F. Zobaa,Trevor J. Bihl
  • Publisher : CRC Press
  • Release : 14 August 2018
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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.

Innovation in Energy Systems

Innovation in Energy Systems
  • Author : Taha Selim Ustun
  • Publisher : BoD – Books on Demand
  • Release : 27 November 2019
GET THIS BOOK Innovation 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

Handbook of Research on Big Data Storage and Visualization Techniques

Handbook of Research on Big Data Storage and Visualization Techniques
  • Author : Segall, Richard S.,Cook, Jeffrey S.
  • Publisher : IGI Global
  • Release : 05 January 2018
GET THIS BOOK Handbook of Research on Big Data Storage and Visualization Techniques

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that

Enterprise Data Warehouse Optimization with Hadoop on IBM Power Systems Servers

Enterprise Data Warehouse Optimization with Hadoop on IBM Power Systems Servers
  • Author : Scott Vetter,Helen Lu,Maciej Olejniczak,IBM Redbooks
  • Publisher : IBM Redbooks
  • Release : 31 January 2018
GET THIS BOOK Enterprise Data Warehouse Optimization with Hadoop on IBM Power Systems Servers

Data warehouses were developed for many good reasons, such as providing quick query and reporting for business operations, and business performance. However, over the years, due to the explosion of applications and data volume, many existing data warehouses have become difficult to manage. Extract, Transform, and Load (ETL) processes are taking longer, missing their allocated batch windows. In addition, data types that are required for business analysis have expanded from structured data to unstructured data. The Apache open source Hadoop

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 BOOK Design 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

Application of Machine Learning and Deep Learning Methods to Power System Problems

Application of Machine Learning and Deep Learning Methods to Power System Problems
  • Author : Morteza Nazari-Heris,Somayeh Asadi,Behnam Mohammadi-Ivatloo,Moloud Abdar,Houtan Jebelli,Milad Sadat-Mohammadi
  • Publisher : Springer Nature
  • Release : 21 November 2021
GET THIS BOOK Application of Machine Learning and Deep Learning Methods to Power System Problems

This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and

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 : 21 September 2019
GET THIS BOOK Decision 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

Signal Processing and Networking for Big Data Applications

Signal Processing and Networking for Big Data Applications
  • Author : Zhu Han,Mingyi Hong,Dan Wang
  • Publisher : Cambridge University Press
  • Release : 27 April 2017
GET THIS BOOK Signal Processing and Networking for Big Data Applications

This unique text helps make sense of big data in engineering applications using tools and techniques from signal processing. It presents fundamental signal processing theories and software implementations, reviews current research trends and challenges, and describes the techniques used for analysis, design and optimization. Readers will learn about key theoretical issues such as data modelling and representation, scalable and low-complexity information processing and optimization, tensor and sublinear algorithms, and deep learning and software architecture, and their application to a wide

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 : 10 April 2019
GET THIS BOOK AI 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

Design Analysis and Applications of Renewable Energy Systems

Design  Analysis and Applications of Renewable Energy Systems
  • Author : Ahmad Taher Azar,Nashwa Ahmad Kamal
  • Publisher : Academic Press
  • Release : 09 September 2021
GET THIS BOOK Design Analysis and Applications of Renewable Energy Systems

Design, Analysis and Applications of Renewable Energy Systems covers recent advancements in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems as conveyed by leading energy systems engineering researchers. The book focuses on present novel solutions for many problems in the field, covering modeling, control theorems and the optimization techniques that will help solve many scientific issues for researchers. Multidisciplinary applications are also discussed, along with

Industrial IoT Technologies and Applications

Industrial IoT Technologies and Applications
  • Author : Jiafu Wan,Iztok Humar,Daqiang Zhang
  • Publisher : Springer
  • Release : 17 August 2016
GET THIS BOOK Industrial IoT Technologies and Applications

This book constitutes the thoroughly refereed post-conference proceedings of the International Conference on Industrial IoT Technologies and Applications, IoT 2016, held in GuangZhou, China, in March 2016. The volume contains 26 papers carefully reviewed and selected from 55 submissions focusing on topics such as big data, cloud computing, Internet of Things (IoT).

Data Mining and Big Data

Data Mining and Big Data
  • Author : Ying Tan,Yuhui Shi
  • Publisher : Springer
  • Release : 25 July 2019
GET THIS BOOK Data Mining and Big Data

This book constitutes the refereed proceedings of the 4th International Conference on Data Mining and Big Data, DMBD 2019, held in Chiang Mai, Thailand, in July 2019. The 26 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 79 submissions. They are organized in topical sections named: data analysis; prediction; clustering; classification; mining pattern; mining tasks.

BIG DATA SAS IBM ORACLE AND MICROSOFT TOOLS

BIG DATA  SAS  IBM  ORACLE  AND MICROSOFT TOOLS
  • Author : César Pérez López
  • Publisher : Lulu Press, Inc
  • Release : 23 March 2021
GET THIS BOOK BIG DATA SAS IBM ORACLE AND MICROSOFT TOOLS

Big Data is the processing and analysis of large amounts of data, the size of which makes it impossible to handle with conventional database and analytical tools. The proliferation of websites, image and video applications, social networks, mobile devices, apps, sensors and other modern devices capable of generating huge amounts of data have made it necessary to develop Big Data tools for their analysis. As for Big Data tools, there is a growing development. Oracle uses Exadata for these purposes,