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Big Data Application In Power Systems

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Author : Reza Arghandeh
language : en
Publisher: Elsevier
Release Date : 2017-11-27

Big Data Application In Power Systems written by Reza Arghandeh and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-27 with Science categories.

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

Renewable Energy Integration

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Author : Lawrence E. Jones
language : en
Publisher: Academic Press
Release Date : 2014-06-12

Renewable Energy Integration written by Lawrence E. Jones and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-12 with Technology & Engineering categories.

Renewable Energy Integration is a ground-breaking new resource - the first to offer a distilled examination of the intricacies of integrating renewables into the power grid and electricity markets. It offers informed perspectives from internationally renowned experts on the challenges to be met and solutions based on demonstrated best practices developed by operators around the world. The book's focus on practical implementation of strategies provides real-world context for theoretical underpinnings and the development of supporting policy frameworks. The book considers a myriad of wind, solar, wave and tidal integration issues, thus ensuring that grid operators with low or high penetration of renewable generation can leverage the victories achieved by their peers. Renewable Energy Integration highlights, carefully explains, and illustrates the benefits of advanced technologies and systems for coping with variability, uncertainty, and flexibility. Lays out the key issues around the integration of renewables into power grids and markets, from the intricacies of operational and planning considerations, to supporting regulatory and policy frameworks Provides global case studies that highlight the challenges of renewables integration and present field-tested solutions Illustrates enabling and disruptive technologies to support the management of variability, uncertainty and flexibility

Distribution System Field Study With California Utilities To Assess Capacity For Renewables And Electric Vehicles

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Author : Alexandra von Meier
language : en
Publisher:
Release Date : 2015

Distribution System Field Study With California Utilities To Assess Capacity For Renewables And Electric Vehicles written by Alexandra von Meier and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Distributed generation of electric power categories.

Innovation In Energy Systems

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Author : Taha Selim Ustun
language : en
Publisher: BoD – Books on Demand
Release Date : 2019-11-27

Innovation In Energy Systems written by Taha Selim Ustun and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-27 with Technology & Engineering categories.

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 billing and energy trading schemes cannot accommodate this change and need revision. Furthermore, bidirectional power flow is an unprecedented phenomenon in distribution networks and traditional protection schemes require a thorough fix for proper operation. This book aims to cover new technologies, methods, and approaches developed to meet the needs of this changing field.

Big Data Analytics Strategies For The Smart Grid

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Author : Carol L. Stimmel
language : en
Publisher: CRC Press
Release Date : 2016-04-19

Big Data Analytics Strategies For The Smart Grid written by Carol L. Stimmel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Computers categories.

A comprehensive data analytics program is the only way utilities will be able to meet the challenges of modern grids with operational efficiency, while reconciling the demands of greenhouse gas legislation, and establishing a meaningful return on investment from smart grid deployments. This book addresses the requirements for applying big data technologies and approaches, including Big Data cybersecurity, to the critical infrastructure that makes up the electrical utility grid.

Signal Processing Of Power Quality Disturbances

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Author : Math H. J. Bollen
language : en
Publisher: John Wiley & Sons
Release Date : 2006-08-04

Signal Processing Of Power Quality Disturbances written by Math H. J. Bollen and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-04 with Technology & Engineering categories.

Bridging the gap between power quality and signal processing This innovative new text brings together two leading experts, onefrom signal processing and the other from power quality. Combiningtheir fields of expertise, they set forth and investigate varioustypes of power quality disturbances, how measurements of thesedisturbances are processed and interpreted, and, finally, the useand interpretation of power quality standards documents. As a practical aid to readers, the authors make a clear distinctionbetween two types of power quality disturbances: * Variations: disturbances that are continuously present * Events: disturbances that occur occasionally A complete analysis and full set of tools are provided for eachtype of disturbance: * Detailed examination of the origin of the disturbance * Signal processing measurement techniques, including advancedtechniques and those techniques set forth in standardsdocuments * Interpretation and analysis of measurement data * Methods for further processing the features extracted from thesignal processing into site and system indices The depth of coverage is outstanding: the authors present andanalyze material that is not covered in the standards nor found inthe scientific literature. This text is intended for two groups of readers: students andresearchers in power engineering who need to use signal processingtechniques for power system applications, and students andresearchers in signal processing who need to perform power systemdisturbance analyses and diagnostics. It is also highly recommendedfor any engineer or utility professional involved in power qualitymonitoring.

Smart Grid Infrastructure Networking

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Author : Krzysztof Iniewski
language : en
Publisher: McGraw Hill Professional
Release Date : 2012-09-13

Smart Grid Infrastructure Networking written by Krzysztof Iniewski and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-13 with Technology & Engineering categories.

A complete guide to smart grid networking and communications for energy engineers With contributions from more than 30 experts, Smart Grid Infrastructure & Networking describes cutting-edge technologies for connecting the electrical power infrastructure to modern, computerized communications networks. The book offers essential information on standardization, applications, protocols, automation, architecture, and management. Key topics such as bidirectional communication, automation, renewable energy integration, wireless sensor networks, and more are discussed in this practical, comprehensive resource. COVERAGE INCLUDES: * Demand-side energy management * The modernization of distribution automation featuring intelligent FDIR and volt-var optimization Advanced asset management * Wide-area early warning systems * The integration of renewable energy sources into smart grids * The microgrid in the electric system transformation * Enhancing the integration of renewables in radial distribution networks through smart links * Voltage-based control of DG units and active loads in smart microgrids * Electric vehicles in a smart grid environment * Low-voltage, DC grid–powered LED lighting system with smart ambient sensor control for energy conservation in green building * Multiple distributed smart microgrids with a self-autonomous, energy harvesting wireless sensor network * Wireless sensor networks for consumer applications in the smart grid * ZigBee-based wireless monitoring and control system for smart grids

Progress In Artificial Intelligence

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Author : Paulo Moura Oliveira
language : en
Publisher: Springer Nature
Release Date : 2019-09-03

Progress In Artificial Intelligence written by Paulo Moura Oliveira and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-03 with Computers categories.

This book constitutes the refereed proceedings of the 19th EPIA Conference on Artificial Intelligence, EPIA 2019, held in Funchal, Madeira, Portugal, in September 2019. The 119 revised full papers and 6 short papers presented were carefully reviewed and selected from a total of 252 submissions. The papers are organized in 18 tracks devoted to the following topics: AIEd - Artificial Intelligence in Education, AI4G - Artificial Intelligence for Games, AIoTA - Artificial Intelligence and IoT in Agriculture, AIL - Artificial Intelligence and Law, AIM - Artificial Intelligence in Medicine, AICPDES - Artificial Intelligence in Cyber-Physical and Distributed Embedded Systems, AIPES - Artificial Intelligence in Power and Energy Systems, AITS - Artificial Intelligence in Transportation Systems, ALEA - Artificial Life and Evolutionary Algorithms, AmIA - Ambient Intelligence and Affective Environments, BAAI - Business Applications of Artificial Intelligence, GAI- General AI, IROBOT - Intelligent Robotics, KDBI - Knowledge Discovery and Business Intelligence, KRR - Knowledge Representation and Reasoning, MASTA - Multi-Agent Systems: Theory and Applications, SSM - Social Simulation and Modelling, TeMA - Text Mining and Applications.

Outlier Detection For Temporal Data

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Author : Manish Gupta
language : en
Publisher: Springer Nature
Release Date : 2022-06-01

Outlier Detection For Temporal Data written by Manish Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.

Outlier (or anomaly) detection is a very broad field which has been studied in the context of a large number of research areas like statistics, data mining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier detection focused on time series-based outliers (in statistics). Since then, outlier detection has been studied on a large variety of data types including high-dimensional data, uncertain data, stream data, network data, time series data, spatial data, and spatio-temporal data. While there have been many tutorials and surveys for general outlier detection, we focus on outlier detection for temporal data in this book. A large number of applications generate temporal datasets. For example, in our everyday life, various kinds of records like credit, personnel, financial, judicial, medical, etc., are all temporal. This stresses the need for an organized and detailed study of outliers with respect to such temporal data. In the past decade, there has been a lot of research on various forms of temporal data including consecutive data snapshots, series of data snapshots and data streams. Besides the initial work on time series, researchers have focused on rich forms of data including multiple data streams, spatio-temporal data, network data, community distribution data, etc. Compared to general outlier detection, techniques for temporal outlier detection are very different. In this book, we will present an organized picture of both recent and past research in temporal outlier detection. We start with the basics and then ramp up the reader to the main ideas in state-of-the-art outlier detection techniques. We motivate the importance of temporal outlier detection and brief the challenges beyond usual outlier detection. Then, we list down a taxonomy of proposed techniques for temporal outlier detection. Such techniques broadly include statistical techniques (like AR models, Markov models, histograms, neural networks), distance- and density-based approaches, grouping-based approaches (clustering, community detection), network-based approaches, and spatio-temporal outlier detection approaches. We summarize by presenting a wide collection of applications where temporal outlier detection techniques have been applied to discover interesting outliers. Table of Contents: Preface / Acknowledgments / Figure Credits / Introduction and Challenges / Outlier Detection for Time Series and Data Sequences / Outlier Detection for Data Streams / Outlier Detection for Distributed Data Streams / Outlier Detection for Spatio-Temporal Data / Outlier Detection for Temporal Network Data / Applications of Outlier Detection for Temporal Data / Conclusions and Research Directions / Bibliography / Authors' Biographies

Platform Based Design

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Author : Alberto Sangiovanni-Vincentelli
language : en
Publisher: Springer
Release Date : 2012-08-09

Platform Based Design written by Alberto Sangiovanni-Vincentelli and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-09 with Technology & Engineering categories.

Embedded Systems design becomes more complex as increasingly sophisticated functionality is added to designs. In addition to considerations of cost, performance, and time-to-market, various system integration issues become challenging, given the inherently heterogeneous nature of embedded systems. Platform Based Design introduces a rigorous design methodology to address the various challenges posed by complex, heterogeneous, embedded systems.