Studiebog
    Big Data Application in Power Systems

    Big Data Application in Power Systems

    Forfatter: info mangler
    Bog
    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    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.

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    Detaljer
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  • Vægt930 g
    • coffee cup img
    10 cm
    book img
    19,1 cm
    23,4 cm

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    Spark Data analysis Data mining Forecasting Wind forecasting State estimation Costs Privacy Awareness Low voltage systems Machine learning Distributed databases Visualization Time Computational complexity Phishing System identification Hacking OPTIMIZATION Data reduction Data visualization Equations of motion Reinforcement learning analytics Big data Fault location Ami Cyber-Physical-System Holistic approach Data Map Demand Response Missing data Smart-Grid Cybersecurity Pattern mining K-means Clustering Compressive Sensing Energy Savings Sparse recovery Microgrid Time series classification Complex event processing Lambda architecture Time series Distributed learning Energy management system Distribution Networks Transfer Learning Graphical Models SCADA Deep learning: Feature selection: Operational data 'predictive analytics' Smart meter Data privacy Unsupervised learning Supervised learning Anomaly Detection Cyberattack MapReduce Advanced Metering Infrastructure (AMI) Load forecasting Dashboard Smart grids Data analytics Information and Communication Technology ICT Power system simulation Conservation Equations Basic set of meteorological Please check and confirm the inserted are appropriate.-->equations Basic modeling equations Business Drivers cyberthreat Complementary operation of multiform energy system Data-driven utility correct if necessary.-->Power grids Distribution automation (DA) BaaS Functional data paths Grid Topology Data requirements matrix Derivation of atmospheric model equations IED template Distribution grid transparency Energy Prediction Energy disaggregation Load estimation microservice architecture Network response requirements Nonintrusive load monitoring Modern Societies Nonoperational Data Numerical weather analysis power distribution networks Power Flows Please check the inserted solar forecasting Smart meter data Support vector machinePlease check and confirm the inserted are appropriate.--> Intelligent electronic device (IED) vector machine Smarter energy research virtual data mart Voltage measurements Phasor measurement unit Substation automation (SA)

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