LEADER 01402nam 2200397 450 001 9910135166903321 005 20230807213513.0 010 $a1-4799-9858-3 035 $a(CKB)3780000000083032 035 $a(WaSeSS)IndRDA00120182 035 $a(WaSeSS)IndRDA00124303 035 $a(EXLCZ)993780000000083032 100 $a20200606d2015 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a2015 International Conference on Localization and GNSS $e22-24 June 2015, Gothenburg, Sweden /$fInstitute of Electrical and Electronics Engineers 210 1$aPiscataway, New Jersey :$cInstitute of Electrical and Electronics Engineers,$d2015. 215 $a1 online resource (134 pages) 311 $a1-4799-9859-1 606 $aGeographical positions$vCongresses 606 $aGlobal Positioning System$vCongresses 606 $aNavigation$xCommunication systems$vCongresses 615 0$aGeographical positions 615 0$aGlobal Positioning System 615 0$aNavigation$xCommunication systems 676 $a526.1028 712 02$aInstitute of Electrical and Electronics Engineers, 801 0$bWaSeSS 801 1$bWaSeSS 906 $aPROCEEDING 912 $a9910135166903321 996 $a2015 International Conference on Localization and GNSS$92526225 997 $aUNINA LEADER 01900nam 2200385z- 450 001 9910346772603321 005 20210211 010 $a1000053596 035 $a(CKB)4920000000100797 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/44599 035 $a(oapen)doab44599 035 $a(EXLCZ)994920000000100797 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aDecentralized Energy Systems, Market Integration, Optimization 210 $cKIT Scientific Publishing$d2016 215 $a1 online resource (IV, 78 p. p.) 225 1 $aProduktion und Energie / Karlsruher Institut für Technologie, Institut für Industriebetriebslehre und industrielle Produktion u. Deutsch-Französisches Institut für Umweltforschung 311 08$a3-7315-0505-3 330 $aIn this study we develop a flexible modeling toolbox for decentralized electricity systems with an agent-based simulation approach at its core. Two RES-E generation models for wind and PV each with a high temporal and spatial resolution are presented and approaches to model specific aspects of the demand side in detail are introduced. The implementation of an AC load flow algorithm is described and the concept of a market-based congestion management mechanism is outlined. 610 $acongestion management 610 $adecentralized 610 $aDezentralEnergy systems 610 $aEnergiesystemanalyse 610 $aErneuerbare Energien 610 $arenewable energy 700 $aRingler$b PhilippSchermeyer, HansRuppert, ManuelHayn, MarianBertsch, ValentinKeles, Dogan Fichtner, Wolf$4auth$01280406 906 $aBOOK 912 $a9910346772603321 996 $aDecentralized Energy Systems, Market Integration, Optimization$93016895 997 $aUNINA LEADER 03376nam 2200817z- 450 001 9910580215203321 005 20220706 035 $a(CKB)5690000000011935 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/87431 035 $a(oapen)doab87431 035 $a(EXLCZ)995690000000011935 100 $a20202207d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aData Processing and Modeling on Volcanic and Seismic Areas 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (140 p.) 311 08$a3-0365-3853-4 311 08$a3-0365-3854-2 330 $aThis special volume aims to collecg new ideas and contributions at the frontier between the fields of data handling, processing and modeling for volcanic and seismic systems. Technological evolution, as well as the increasing availability of new sensors and platforms, and freely available data, pose a new challenge to the scientific community in the development new tools and methods that can integrate and process different information. The recent growth in multi-sensor monitoring networks and satellites, along with the exponential increase in the spatiotemporal data, has revealed an increasingly compelling need to develop data processing, analysis and modeling tools. Data processing, analysis and modeling techniques may allow significant information to be identified and integrated into volcanic/seismological monitoring systems. The newly developed technology is expected to improve operational hazard detection, alerting, and management abilities. 606 $aEnvironmental science, engineering and technology$2bicssc 606 $aTechnology: general issues$2bicssc 610 $aASTER 610 $ab value temporal variation 610 $acentral Ionian Islands (Greece) 610 $aCO2 flux 610 $aCO2 storage 610 $adata processing techniques 610 $aDIAL-Lidar 610 $aGNSS 610 $aGoogle Earth Engine 610 $aGPS 610 $aground deformation 610 $aInSAR 610 $alava fountain 610 $amodeling 610 $aMT-InSAR 610 $amultidisciplinary monitoring 610 $aMVA 610 $an/a 610 $aparoxysms 610 $arelocated aftershocks 610 $aRobust Satellite Techniques 610 $aSAR 610 $aseismic swarm 610 $aseismic time and depth processing 610 $aseismicity 610 $aSentinel-1 610 $aslope instability 610 $atilt 610 $atransition zone 610 $avolcanic eruption 610 $avolcanic eruptions 610 $avolcanic mounds 610 $avolcanic plumes 610 $avolcano geodesy 610 $avolcano monitoring 610 $avolcanoes 615 7$aEnvironmental science, engineering and technology 615 7$aTechnology: general issues 700 $aBonforte$b Alessandro$4edt$01318503 702 $aCannavo?$b Flavio$4edt 702 $aBonforte$b Alessandro$4oth 702 $aCannavo?$b Flavio$4oth 906 $aBOOK 912 $a9910580215203321 996 $aData Processing and Modeling on Volcanic and Seismic Areas$93033338 997 $aUNINA