Smart Grid Using Big Data Analytics

Smart Grid Using Big Data Analytics
Author: Robert C. Qiu,Paul Antonik
Publsiher: John Wiley & Sons
Total Pages: 632
Release: 2017-04-17
ISBN: 1118494059
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Smart Grid Using Big Data Analytics Book Excerpt:

This book is aimed at students in communications and signal processing who want to extend their skills in the energy area. It describes power systems and why these backgrounds are so useful to smart grid, wireless communications being very different to traditional wireline communications.

Big Data Analytics Strategies for the Smart Grid

Big Data Analytics Strategies for the Smart Grid
Author: Carol L. Stimmel
Publsiher: CRC Press
Total Pages: 256
Release: 2016-04-19
ISBN: 1482218291
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Analytics Strategies for the Smart Grid Book Excerpt:

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

Smart Grids and Big Data Analytics for Smart Cities

Smart Grids and Big Data Analytics for Smart Cities
Author: Chun Sing Lai,Loi Lei Lai,Qi Hong Lai
Publsiher: Springer Nature
Total Pages: 403
Release: 2020-10-31
ISBN: 3030521559
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Smart Grids and Big Data Analytics for Smart Cities Book Excerpt:

This book provides a comprehensive introduction to different elements of smart city infrastructure - smart energy, smart water, smart health, and smart transportation - and how they work independently and together. Theoretical development and practical applications are presented, along with related standards, recommended practices, and professional guidelines. Throughout the book, diagrams and case studies are provided that demonstrate the systems presented, and extensive use of scenarios helps readers better grasp how smart grids, the Internet of Things, big data analytics, and trading models can improve road safety, healthcare, smart water management, and a low-carbon economy. A must-read for practicing engineers, consultants, regulators, utility operators, and environmentalists involved in smart city development, the book will also appeal to city planners and designers, as well as upper-level undergraduate and graduate students studying energy, environmental science, technology, economics, signal processing, information science, and power engineering.

Big Data Analytics in Future Power Systems

Big Data Analytics in Future Power Systems
Author: Ahmed F. Zobaa,Trevor J. Bihl
Publsiher: CRC Press
Total Pages: 174
Release: 2018-08-14
ISBN: 1351601296
Category: Science
Language: EN, FR, DE, ES & NL

Big Data Analytics in Future Power Systems Book Excerpt:

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. Additionally, this book discusses the various security concerns that become manifest with Big Data and expanded communications in power grids. Provide a general description and definition of big data, which has been gaining significant attention in the research community. Introduces a comprehensive overview of big data optimization methods in power system. Reviews the communication devices used in critical infrastructure, especially power systems; security methods available to vet the identity of devices; and general security threats in CI networks. Presents applications in power systems, such as power flow and protection. Reviews electricity theft concerns and the wide variety of data-driven techniques and applications developed for electricity theft detection.

Big Data Application in Power Systems

Big Data Application in Power Systems
Author: Reza Arghandeh,Yuxun Zhou
Publsiher: Elsevier
Total Pages: 480
Release: 2017-11-27
ISBN: 0128119691
Category: Science
Language: EN, FR, DE, ES & NL

Big Data Application in Power Systems Book Excerpt:

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 Analytics for Smart Grid Event Detection and Classification

Big Data Analytics for Smart Grid Event Detection and Classification
Author: Mark Gerard Rafferty
Publsiher: Unknown
Total Pages: 135
Release: 2018
ISBN: 1928374650XXX
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Big Data Analytics for Smart Grid Event Detection and Classification Book Excerpt:

Smart Grid Communication Infrastructures

Smart Grid Communication Infrastructures
Author: Feng Ye,Yi Qian,Rose Qingyang Hu
Publsiher: John Wiley & Sons
Total Pages: 304
Release: 2018-08-20
ISBN: 1119240158
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Smart Grid Communication Infrastructures Book Excerpt:

A comprehensive resource that covers all the key areas of smart grid communication infrastructures Smart grid is a transformational upgrade to the traditional power grid that adds communication capabilities, intelligence and modern control. Smart Grid Communication Infrastructures is a comprehensive guide that addresses communication infrastructures, related applications and other issues related to the smart grid. The text shows how smart grid departs from the traditional power grid technology. Fundamentally, smart grid has advanced communication infrastructures to achieve two-way information exchange between service providers and customers. Grid operations in smart grid have proven to be more efficient and more secure because of the communication infrastructures and modern control. Smart Grid Communication Infrastructures examines and summarizes the recent advances in smart grid communications, big data analytics and network security. The authors – noted experts in the field – review the technologies, applications and issues in smart grid communication infrastructure. This important resource: Offers a comprehensive review of all areas of smart grid communication infrastructures Includes an ICT framework for smart grid Contains a review of self-sustaining wireless neighborhood that are network designed Presents design and analysis of a wireless monitoring network for transmission lines in smart grid Written for graduate students, professors, researchers, scientists, practitioners and engineers, Smart Grid Communication Infrastructures is the comprehensive resource that explores all aspects of the topic.

Handbook of Big Data Privacy

Handbook of Big Data Privacy
Author: Kim-Kwang Raymond Choo,Ali Dehghantanha
Publsiher: Springer Nature
Total Pages: 397
Release: 2020-03-18
ISBN: 3030385574
Category: Computers
Language: EN, FR, DE, ES & NL

Handbook of Big Data Privacy Book Excerpt:

This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that utilize acritical intelligence (AI) techniques to overcome those issues. It then focuses on big data security and privacy issues in relation to developments in the Industry 4.0. Internet of Things (IoT) devices are becoming a major source of security and privacy concern in big data platforms. Multiple solutions that leverage machine learning for addressing security and privacy issues in IoT environments are also discussed this handbook. The second part of this handbook is focused on privacy and security issues in different layers of big data systems. It discusses about methods for evaluating security and privacy of big data systems on network, application and physical layers. This handbook elaborates on existing methods to use data analytic and AI techniques at different layers of big data platforms to identify privacy and security attacks. The final part of this handbook is focused on analyzing cyber threats applicable to the big data environments. It offers an in-depth review of attacks applicable to big data platforms in smart grids, smart farming, FinTech, and health sectors. Multiple solutions are presented to detect, prevent and analyze cyber-attacks and assess the impact of malicious payloads to those environments. This handbook provides information for security and privacy experts in most areas of big data including; FinTech, Industry 4.0, Internet of Things, Smart Grids, Smart Farming and more. Experts working in big data, privacy, security, forensics, malware analysis, machine learning and data analysts will find this handbook useful as a reference. Researchers and advanced-level computer science students focused on computer systems, Internet of Things, Smart Grid, Smart Farming, Industry 4.0 and network analysts will also find this handbook useful as a reference.

Big Data Analytics and Intelligent Techniques for Smart Cities

Big Data Analytics and Intelligent Techniques for Smart Cities
Author: Kolla Bhanu Prakash,Janmenjoy Nayak,B tp Madhhav,Sanjeevikumar Padmanaban,Valentina Emilia Balas
Publsiher: CRC Press
Total Pages: 296
Release: 2021-09-20
ISBN: 1000413314
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Big Data Analytics and Intelligent Techniques for Smart Cities Book Excerpt:

Big Data Analytics and Intelligent Techniques for Smart Cities covers fundamentals, advanced concepts, and applications of big data analytics for smart cities in a single volume. This comprehensive reference text discusses big data theory modeling and simulation for smart cities and examines case studies in a single volume. The text discusses how to develop a smart city and state-of-the-art system design, system verification, real-time control and adaptation, Internet of Things, and testbeds. It covers applications of smart cities as they relate to smart transportation/connected vehicle (CV) and intelligent transportation systems (ITS) for improved mobility, safety, and environmental protection. It will be useful as a reference text for graduate students in different areas including electrical engineering, computer science engineering, civil engineering, and electronics and communications engineering. Features: Technologies and algorithms associated with the application of big data for smart cities Discussions on big data theory modeling and simulation for smart cities Applications of smart cities as they relate to smart transportation and intelligent transportation systems (ITS) Discussions on concepts including smart education, smart culture, and smart transformation management for social and societal changes

The Internet of Things Data Analytics

The Internet of Things Data Analytics
Author: Ajit Singh
Publsiher: GRIN Verlag
Total Pages: 9
Release: 2019-05-27
ISBN: 3668947600
Category: Computers
Language: EN, FR, DE, ES & NL

The Internet of Things Data Analytics Book Excerpt:

Research Paper (postgraduate) from the year 2018 in the subject Computer Science - Internet, New Technologies, grade: 8.78, , course: MCA, language: English, abstract: Development of big data and IoT is rapidly increasingly and affecting all the major technologies and the business by increasing the benefits for the individual and organisations. The increasing growth of data of IoT devices has played a major role for use of Big Data. Big data is categorize into three aspects (a) Variety (b) Volume (c) Velocity. These categories are introduced by Gartner to describe the elements of big data challenges. Various opportunities are presented by the capability to analyze and utilize huge amounts of IoT data, including applications in smart cities, smart transport and grid systems, energy smart meters, and remote patient healthcare monitoring devices. The more popularity of Internet of Things day by day has made a big data analytics challenging because of the processing and collection of data through different sensors in the IoT network. The data are totally different from normal big data collected through systems in terms of characteristics because of the various sensors and objects involved during data collection, which include heterogeneity, noise, variety, and rapid growth.

Understanding Big Data Analytics for Enterprise Class Hadoop and Streaming Data

Understanding Big Data  Analytics for Enterprise Class Hadoop and Streaming Data
Author: IBM Paul Zikopoulos,Chris Eaton,Paul Zikopoulos
Publsiher: McGraw Hill Professional
Total Pages: 176
Release: 2011-10-19
ISBN: 0071790535
Category: Computers
Language: EN, FR, DE, ES & NL

Understanding Big Data Analytics for Enterprise Class Hadoop and Streaming Data Book Excerpt:

Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer

Fog Data Analytics for IoT Applications

Fog Data Analytics for IoT Applications
Author: Sudeep Tanwar
Publsiher: Springer Nature
Total Pages: 501
Release: 2020-08-25
ISBN: 9811560447
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Fog Data Analytics for IoT Applications Book Excerpt:

This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud. Current research and development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a model that addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements, and includes case studies demonstrating its implementation. Focusing on FDA in IoT and requirements related to Industry 4.0, it also covers all aspects required to manage the complexity of FDA for IoT applications and also develops a comprehensive taxonomy.

Smart Data

Smart Data
Author: Kuan-Ching Li,Beniamino Di Martino,Laurence T. Yang,Qingchen Zhang
Publsiher: CRC Press
Total Pages: 410
Release: 2019-03-19
ISBN: 0429018029
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Smart Data Book Excerpt:

Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning, Big Data capture and representation, AI for Big Data applications, and more. Features Presents state-of-the-art research in big data and smart computing Provides a broad coverage of topics in data science and machine learning Combines computing methods with domain knowledge and a focus on applications in science, engineering, and business Covers data security and privacy, including AI techniques Includes contributions from leading researchers

Data Intensive Computing in Smart Microgrids

Data Intensive Computing in Smart Microgrids
Author: Herodotos Herodotou
Publsiher: MDPI
Total Pages: 238
Release: 2021-09-02
ISBN: 3036516271
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Data Intensive Computing in Smart Microgrids Book Excerpt:

Microgrids have recently emerged as the building block of a smart grid, combining distributed renewable energy sources, energy storage devices, and load management in order to improve power system reliability, enhance sustainable development, and reduce carbon emissions. At the same time, rapid advancements in sensor and metering technologies, wireless and network communication, as well as cloud and fog computing are leading to the collection and accumulation of large amounts of data (e.g., device status data, energy generation data, consumption data). The application of big data analysis techniques (e.g., forecasting, classification, clustering) on such data can optimize the power generation and operation in real time by accurately predicting electricity demands, discovering electricity consumption patterns, and developing dynamic pricing mechanisms. An efficient and intelligent analysis of the data will enable smart microgrids to detect and recover from failures quickly, respond to electricity demand swiftly, supply more reliable and economical energy, and enable customers to have more control over their energy use. Overall, data-intensive analytics can provide effective and efficient decision support for all of the producers, operators, customers, and regulators in smart microgrids, in order to achieve holistic smart energy management, including energy generation, transmission, distribution, and demand-side management. This book contains an assortment of relevant novel research contributions that provide real-world applications of data-intensive analytics in smart grids and contribute to the dissemination of new ideas in this area.

Data Analytics for Renewable Energy Integration Informing the Generation and Distribution of Renewable Energy

Data Analytics for Renewable Energy Integration  Informing the Generation and Distribution of Renewable Energy
Author: Wei Lee Woon,Zeyar Aung,Oliver Kramer,Stuart Madnick
Publsiher: Springer
Total Pages: 133
Release: 2017-11-24
ISBN: 3319716433
Category: Computers
Language: EN, FR, DE, ES & NL

Data Analytics for Renewable Energy Integration Informing the Generation and Distribution of Renewable Energy Book Excerpt:

This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others.

Sustainable Networks in Smart Grid

Sustainable Networks in Smart Grid
Author: B.D. Deebak,Fadi Al-Turjman
Publsiher: Academic Press
Total Pages: 294
Release: 2022-04-01
ISBN: 0323856276
Category: Science
Language: EN, FR, DE, ES & NL

Sustainable Networks in Smart Grid Book Excerpt:

Sustainable Networks in Smart Grid presents global challenges in smart metering with renewable energy resources, micro-grid design, communication technologies, big data, privacy and security in the smart grid. Providing an overview of different available PLC technologies and configurations and their applications in different sectors, this book provides case studies and practical implementation details of smart grid technology, paying special attention to Advanced Metering Infrastructure (AMI) scenarios with the presence of Distribution Grid (DG) and Electric Vehicles (EV). Covering regulatory policies for energy storage, management strategies for microgrid operation, and key performance indicators for smart grid development, this reference compiles up-to-date information on different aspects of the Internet of Smart Metering. In addition, innovative contributions on Data Analytics, Energy Theft Detection, Data-Driven Framework, Blockchain–IoT-enabled Sensor Networks, and Smart Contacts in the Blockchain are also included. Includes case studies and practical implementation examples of different smart grid applications, their benefits, characteristics and requirements Provides a SWOT analysis of the impact of recent regulatory changes on the business case for energy storage (ES) Presents a comprehensive survey of privacy-preserving schemes for smart grid communications

Standard Handbook for Electrical Engineers Seventeenth Edition

Standard Handbook for Electrical Engineers  Seventeenth Edition
Author: Surya Santoso,H. Wayne Beaty
Publsiher: McGraw Hill Professional
Total Pages: 1633
Release: 2017-11-24
ISBN: 1259642593
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Standard Handbook for Electrical Engineers Seventeenth Edition Book Excerpt:

Up-to-date coverage of every facet of electric power in a single volume This fully revised, industry-standard resource offers practical details on every aspect of electric power engineering. The book contains in-depth discussions from more than 100 internationally recognized experts. Generation, transmission, distribution, operation, system protection, and switchgear are thoroughly explained. Standard Handbook for Electrical Engineers, Seventeenth Edition, features brand-new sections on measurement and instrumentation, interconnected power grids, smart grids and microgrids, wind power, solar and photovoltaic power generation, electric machines and transformers, power system analysis, operations, stability and protection, and the electricity market. Coverage includes: •Units, symbols, constants, definitions, and conversion factors •Measurement and instrumentation •Properties of materials •Interconnected power grids •AC and DC power transmission •Power distribution •Smart grids and microgrids •Wind power generation •Solar power generation and energy storage •Substations and switch gear •Power transformers, generators, motors, and drives •Power electronics •Power system analysis, operations, stability, and protection •Electricity markets •Power quality and reliability •Lightning and overvoltage protection •Computer applications in the electric power industry •Standards in electrotechnology, telecommunications, and IT

Advances in Smart Grid Automation and Industry 4 0

Advances in Smart Grid Automation and Industry 4 0
Author: M. Jaya Bharata Reddy,Dusmanta Kr. Mohanta,Deepak Kumar,Debomita Ghosh
Publsiher: Springer Nature
Total Pages: 816
Release: 2021-04-21
ISBN: 9811576750
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advances in Smart Grid Automation and Industry 4 0 Book Excerpt:

This book comprises select proceedings of the International Conference on Emerging Trends for Smart Grid Automation and Industry 4.0 (ICETSGAI4.0 2019). The contents discuss the recent trends in smart grid technology and related applications. The topics covered include data analytics for smart grid operation and control, integrated power generation technologies, green technologies as well as advances in microgrid operation and planning. The book highlights the enhancement in technology in the field of smart grids, and how IoT, big data, robotics and automation, artificial intelligence, and wide area measurement have become prerequisites for the fourth industrial revolution, also known as Industry 4.0. The book can be a valuable reference for researchers and professionals interested in smart grid automation incorporating features of Industry 4.0.

Data Science and Big Data An Environment of Computational Intelligence

Data Science and Big Data  An Environment of Computational Intelligence
Author: Witold Pedrycz,Shyi-Ming Chen
Publsiher: Springer
Total Pages: 303
Release: 2017-03-21
ISBN: 3319534742
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Data Science and Big Data An Environment of Computational Intelligence Book Excerpt:

This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today’s knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.

Big Data Analytics for Smart and Connected Cities

Big Data Analytics for Smart and Connected Cities
Author: Dey, Nilanjan,Tamane, Sharvari
Publsiher: IGI Global
Total Pages: 348
Release: 2018-09-07
ISBN: 1522562087
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Big Data Analytics for Smart and Connected Cities Book Excerpt:

To continue providing people with safe, comfortable, and affordable places to live, cities must incorporate techniques and technologies to bring them into the future. The integration of big data and interconnected technology, along with the increasing population, will lead to the necessary creation of smart cities. Big Data Analytics for Smart and Connected Cities is a pivotal reference source that provides vital research on the application of the integration of interconnected technologies and big data analytics into the creation of smart cities. While highlighting topics such as energy conservation, public transit planning, and performance measurement, this publication explores technology integration in urban environments as well as the methods of planning cities to implement these new technologies. This book is ideally designed for engineers, professionals, researchers, and technology developers seeking current research on technology implementation in urban settings.