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from smart grid deployments. Readable and accessible, Big Data Analytics Strategies for the Smart Grid addresses the needs of applying big;
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and planning. The book highlights the enhancement in technology in the field of smart grids, and how IoT, big data, robotics and automation;
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Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required;
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advances in the areas of big data analytics, data analytics in cloud, smart cities and grid, etc. This volume primarily focuses on the application;
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the latest big data predicting techniques. This timely book discusses big data forecasting for smart cities. It introduces big data;
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summarizes the recent advances in smart grid communications, big data analytics and network security. The authors - noted experts in the field;
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data management for application in smart grids. Different cloud and data management approaches are explained, highlighting energy management;
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they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal;
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and demand-side management; game theory approaches for demand side management in the smart grid; energy storage systems and grid integration;
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necessary creation of smart cities. Big Data Analytics for Smart and Connected Cities is a pivotal reference source that provides vital research;
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This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on;
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BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and;
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data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data;
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This book constitutes the revised selected papers from the 6th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE;
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This book constitutes revised selected papers from the 4th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2016;
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This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017;
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. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and;
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. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and;
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interconnected systems aim to aggregate and efficiently exploit the power of widely distributed resources. In this context, major solutions for;
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, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data;
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The federal and private sector have a strong interest in the application of big data analytics to connected vehicles and smart cities. It;
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development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a;
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are organized into the following topical headings: big data analytics and distributed systems; security and privacy engineering; industry 4.0;
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, big data analytics, smart computing, smart cities, Internet of things (IoT), data communication, cloud computing, machine learning algorithms;
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computing, SCADA, blockchain, smart grid, big data analytics, and more. Primarily intended as a textbook for courses in computer science;
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This book constitutes the proceedings of the 9th International Conference on Big Data, BigData 2020, held as part of SCF 2020, during;
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Computing and business technology consultant Creating Smart Enterprises unravels the mystery of social media, mobile, analytics and big data, cloud;
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