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001480872 001__ 1480872
001480872 003__ OCoLC
001480872 005__ 20231031003312.0
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001480872 008__ 230916s2023\\\\xx\\\\\\o\\\\\000\0\eng\d
001480872 019__ $$a1397313382
001480872 020__ $$a9783031385063$$q(electronic bk.)
001480872 020__ $$a3031385063$$q(electronic bk.)
001480872 020__ $$z3031385055
001480872 020__ $$z9783031385056
001480872 0247_ $$a10.1007/978-3-031-38506-3$$2doi
001480872 035__ $$aSP(OCoLC)1397574704
001480872 040__ $$aEBLCP$$beng$$cEBLCP$$dYDX$$dGW5XE$$dOCLCO
001480872 049__ $$aISEA
001480872 050_4 $$aTK3105
001480872 08204 $$a621.31
001480872 24500 $$aSmart Grid 3.0 :$$bcomputational and communication technologies /$$cBhargav Appasani, Nicu Bizon, editors.
001480872 260__ $$aCham :$$bSpringer,$$c2023.
001480872 300__ $$a1 online resource (422 p.).
001480872 4901_ $$aPower Systems
001480872 504__ $$aReferences
001480872 5050_ $$aIntro -- Foreword -- Preface -- Contents -- Smart Grid 3.0: Grid with Proactive Intelligence -- 1 Introduction -- 2 Evolution of Power Grid to Smart Grid 3.0 -- 2.1 Smart Grid 1.0 -- 2.2 Smart Grid 2.0 -- 2.3 Smart Grid 3.0 -- 3 Smart Grid 3.0: Communication and Computational Technologies -- 3.1 AI for Smart Grid -- 3.2 Blockchain for Smart Grid -- 3.3 Bigdata Analytics for Smart Grid -- 3.4 Cloud, Fog, and Edge Computing for Smart Grid -- 3.5 5G for Smart Grid -- 3.6 IoT for Smart Grid -- 4 Challenges and Possible Solutions -- 4.1 Challenges for Implementing AI in Smart Grid
001480872 5058_ $$a4.2 Challenges for Blockchain in Smart Grid -- 4.3 Challenges for Bigdata Analytics in Smart Grid -- 4.4 Challenges for Edge, Fog, and Cloud Computing in Smart Grid -- 4.5 Challenges for 5G and IoT in Smart Grid -- 5 Conclusions -- References -- Blockchain for Energy Management: Smart Meters, Home Automation, and Electric Vehicles -- 1 Introduction -- 2 Blockchain Technology-Definition, Evolution, and Operation -- 2.1 Definition and Structure -- 2.2 Blockchain Technology Evolution -- 2.3 Smart Contracts -- 2.4 The Token Concept -- 3 Architecture of an Association of Producers/Energy Distributors
001480872 5058_ $$a3.1 Peer-to-Peer-DSO Networks -- 3.2 Peer-to-Peer-Microgrid Networks -- 3.3 Association of Renewable Energy Producers with Surplus Energy Injected into the National System that Distributes Energy to Consumers -- 3.4 Renewable Energy Producer/consumer of an Association Using a Batteries Stack -- 4 Application of Blockchain Technology for Proposed Energy Architectures -- 4.1 Smart Contract for the Login Application -- 4.2 Results-Testing and Validating the Behavior of the Smart Contract and the Web Application -- 5 Discussions and Future Perspectives -- 6 Conclusions -- References
001480872 5058_ $$aEngineering Applications of Blockchain Based Crowdsourcing Concept in Active Distribution Grids -- 1 Introduction -- 2 Crowdsourcing Energy System -- 3 Blockchain Technology -- 4 Enhanced Prosumers Trading Approach -- 4.1 Problem Formulation -- 4.2 The Blockchain-Based Crowdsourcing Algorithm Design for P2P Energy Transactions -- 5 Case Study -- 6 Conclusions -- References -- Machine Learning-Based Approaches for Transmission Line Fault Detection Using Synchrophasor Measurements in a Smart Grid -- 1 Introduction -- 2 LabVIEW Based Synchrophasor Measurements -- 2.1 Phasor Measurement Unit (PMU)
001480872 5058_ $$a2.2 Phasor Estimation -- 2.3 LabVIEW Based SPM -- 2.4 Fault Detection from SPMs -- 3 Machine Learning Algorithms -- 3.1 KNN Algorithm -- 3.2 Support Vector Machine -- 3.3 Logistic Regression -- 4 Experimental Setup and Results Discussion -- 5 Conclusion -- References -- Data Mining-Based Approaches in the Power Quality Analysis -- 1 Introduction -- 2 Performance Indicators for the Electricity Distribution Service -- 3 Data Mining-Based Analysis of the Power Quality -- 4 Testing the Methodology -- 4.1 Voltage Quality Analysis -- 4.2 Analysis of Continuity in the Electricity Supply -- 5 Conclusions
001480872 506__ $$aAccess limited to authorized users.
001480872 520__ $$aThis book is the first on Smart Grid 3.0. The book presents literature reviews of recent computational and communication technologies and their application in the evolution of smart grids to Smart Grid 3.0. It offers new control solutions, architectures and energy management strategies that are based on artificial intelligence and deep learning techniques. The book details the hardware and software implementation of fault identification or detection based on synchrophasor data and machine learning. It also discusses blockchain architectures for smart grid applications such as electric vehicles, home automation and automatic metering infrastructure. .
001480872 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 26, 2023).
001480872 650_6 $$aRéseaux électriques intelligents$$xInnovations.
001480872 650_6 $$aApprentissage automatique.
001480872 650_6 $$aChaînes de blocs.
001480872 650_0 $$aSmart power grids$$xTechnological innovations.$$0(DLC)sh2011003732
001480872 650_0 $$aMachine learning.$$vCongresses$$0(DLC)sh2008107143
001480872 650_0 $$aBlockchains (Databases)$$0(DLC)sh2016002790
001480872 655_0 $$aElectronic books.
001480872 7001_ $$aAppasani, Bhargav.
001480872 7001_ $$aBizon, Nicu.
001480872 77608 $$iPrint version:$$aAppasani, Bhargav$$tSmart Grid 3. 0$$dCham : Springer International Publishing AG,c2023$$z9783031385056
001480872 830_0 $$aPower systems.
001480872 852__ $$bebk
001480872 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-38506-3$$zOnline Access$$91397441.1
001480872 909CO $$ooai:library.usi.edu:1480872$$pGLOBAL_SET
001480872 980__ $$aBIB
001480872 980__ $$aEBOOK
001480872 982__ $$aEbook
001480872 983__ $$aOnline
001480872 994__ $$a92$$bISE