04367nam 2201177z- 450 991055764580332120231214133627.0(CKB)5400000000044995(oapen)https://directory.doabooks.org/handle/20.500.12854/76890(EXLCZ)99540000000004499520202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierEnergy Data Analytics for Smart Meter DataBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic resource (346 p.)3-0365-2016-3 3-0365-2017-1 The principal advantage of smart electricity meters is their ability to transfer digitized electricity consumption data to remote processing systems. The data collected by these devices make the realization of many novel use cases possible, providing benefits to electricity providers and customers alike. This book includes 14 research articles that explore and exploit the information content of smart meter data, and provides insights into the realization of new digital solutions and services that support the transition towards a sustainable energy system. This volume has been edited by Andreas Reinhardt, head of the Energy Informatics research group at Technische Universität Clausthal, Germany, and Lucas Pereira, research fellow at Técnico Lisboa, Portugal.Technology: general issuesbicsscsmart gridnontechnical losseselectricity theft detectionsynthetic minority oversampling techniqueK-means clusterrandom forestsmart gridssmart energy systemsmart meterGDPRdata privacyethicsmulti-label learningNon-intrusive Load Monitoringappliance recognitionfryze power theoryV-I trajectoryConvolutional Neural Networkdistance similarity matrixactivation currentelectric vehiclesynthetic dataexponential distributionPoisson distributionGaussian mixture modelsmathematical modelingmachine learningsimulationNon-Intrusive Load Monitoring (NILM)NILM datasetspower signatureelectric load simulationdata-driven approachessmart meterstext convolutional neural networks (TextCNN)time-series classificationdata annotationnon-intrusive load monitoringsemi-automatic labelingappliance load signaturesambient influencesdevice classification accuracyNILMsignatureload disaggregationtransientspulse generatorsmart meteringsmart power gridspower consumption dataenergy data processinguser-centric applications of energy dataconvolutional neural networkenergy consumptionenergy data analyticsenergy disaggregationreal-timesmart meter datatransient load signatureattention mechanismdeep neural networkelectrical energyload schedulingsatisfactionShapley Valuesolar photovoltaicsreviewdeep learningdeep neural networksTechnology: general issuesReinhardt Andreasedt1295460Pereira LucasedtReinhardt AndreasothPereira LucasothBOOK9910557645803321Energy Data Analytics for Smart Meter Data3023469UNINA02315nam 2200337z- 450 991055741830332120231214141111.0(CKB)5400000000043511(oapen)https://directory.doabooks.org/handle/20.500.12854/78688(EXLCZ)99540000000004351120202202d2022 |y 0gerurmn|---annantxtrdacontentcrdamediacrrdacarrierDie Kunst zu lebenDie biographische Verarbeitung von Katastrophenerfahrungen und Emotionen von Künstlern im gegenwärtigen JapanUniversitätsverlag Göttingen20223-86395-518-8 Throughout the world, ‘3.11’ and ‘Fukushima’ are used as synonyms for catastrophe, despair and insecurity. In a search for sociocultural meaning in the catastrophic events of ‘3.11’, Wiebke Grimmig examines the role of contemporary Japanese artists in the process by which Japanese society has handled the effects of this triple disaster (earthquake, tsunami and atomic disaster) in Fukushima. She focuses on the emotional processing of these events by her respondents, including their biographical background, their economic concerns and the role of contemporary art in Japanese society. This anthropological research involves the analysis of in-depth interviews with contemporary artists from Tokyo, as well as from other locations along the east coast of Japan. This research was conducted over a 12-month period to elucidate the catastrophic events and effects of the ‘3.11’ disaster. In this work, Wiebke Grimmig examines how contemporary Japanese artists portray catastrophic events in terms of emotion, individuality, power, resilience, politics, economics and communication in their biographical narrative and their work. This doctoral thesis provides an important contribution to the socio-scientific field of disaster research.Kunst zu leben Society & social sciencesbicsscJapanartistemotional processingSociety & social sciencesGrimmig Wiebkeauth1302074BOOK9910557418303321Die Kunst zu leben3026099UNINA