Big Data Application in Power Systems

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Big Data Application in Power Systems
Author : Reza Arghandeh
Publisher : Elsevier
Release Date : 27 November 2017
ISBN : 9780128119693
Pages : 480
File Size : 50,9 Mb
Total View : 582 Views
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Big Data Application in Power Systems by Reza Arghandeh 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

Big Data Application in Power Systems
  • Total View : 782
  • File Size : 50,7 Mb

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

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Big Data Analytics in Future Power Systems
  • Total View : 380
  • File Size : 42,8 Mb

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

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Advanced Data Analytics for Power Systems
  • Total View : 497
  • File Size : 49,9 Mb

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

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Big Data Analytics in Future Power Systems
  • Total View : 586
  • File Size : 45,8 Mb

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

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Predictive Modelling for Energy Management and Power Systems Engineering
  • Total View : 220
  • File Size : 47,8 Mb

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

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Decision Making Applications in Modern Power Systems
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  • File Size : 49,6 Mb

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

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Global Energy Interconnection
  • Total View : 323
  • File Size : 49,6 Mb

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

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AI and Big Data on IBM Power Systems Servers
  • Total View : 758
  • File Size : 46,7 Mb

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

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