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Energy and Analytics

This book details how to leverage big data style analytics to manage and coordinate the key issues in both energy supply and demand. It;

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Open Data and Energy Analytics

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Data Analytics for Renewable Energy Integration

This book constitutes revised selected papers from the third ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE;

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

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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Making Healthcare Green

manner. The book builds on the work done in other sectors (mainly data centers) in effectively measuring and improving IT energy efficiency and;

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Making Healthcare Green

manner. The book builds on the work done in other sectors (mainly data centers) in effectively measuring and improving IT energy efficiency and;

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Data Analytics for Renewable Energy Integration. Technologies, Systems and Society

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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Data Analytics for Renewable Energy Integration

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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Big Data Analytics Methods

applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This;

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Analytics for Building-Scale Sustainable Ecosystems

a robust, significant improvement towards modelling and predicting building performance indices such as energy usage with user integration;

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Analytics for the Sharing Economy

shared economy). It provides case studies of collaborative consumption in the areas of energy and mobility. The contributors review successful;

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Analytics, Operations, and Strategic Decision Making in the Public Sector

governments; criminal justice systems; healthcare; energy and natural resources; waste management; emergency response; and the military.;

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Military Applications of Data Analytics

cases explore such topics as: Context for maritime situation awareness Data analytics for electric power and energy;

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Analytics and Optimization for Renewable Energy Integration

The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable;

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Analytics and Optimization for Renewable Energy Integration

The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable;

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Machine Learning Paradigms

towards dramatic changes in our daily lives, the workplace and human relationships. Synergies between physical, digital, biological and energy;

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Smart Grids and Big Data Analytics for Smart Cities

to city planners and designers, as well as upper-level undergraduate and graduate students studying energy, environmental science, technology;

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Smart Grids and Big Data Analytics for Smart Cities

to city planners and designers, as well as upper-level undergraduate and graduate students studying energy, environmental science, technology;

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Big Data Analytics for Smart and Connected Cities

highlighting topics such as energy conservation, public transit planning, and performance measurement, this publication explores technology integration;

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Big Data Analytics Strategies for the Smart Grid

transform grid assets for the benefit of both the utility business and energy consumers. It not only provides specific examples that illustrate how;

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Smart Grid Technology

data management for application in smart grids. Different cloud and data management approaches are explained, highlighting energy management;

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AI, Edge and IoT-based Smart Agriculture

, IoT ecosystem for agriculture, mobile robot for precision agriculture, energy monitoring, storage management, and smart farming. The book;

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Advances in Big Data

), clouds, clusters); and big data analytics applications to solve real-world problems (e.g. weather prediction, transportation, energy management;

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Green Building Management and Smart Automation

, and refrigeration. This sector alone consumes one-third of the total primary energy resources available. By using green building and smart;

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Optimized Cloud Based Scheduling

showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science;

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Optimized Cloud Based Scheduling

showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science;

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Soft Computing in Green and Renewable Energy Systems

Soft Computing in Green and Renewable Energy Systems provides a practical introduction to the application of soft computing techniques and;

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