LEADER 05373nam 22006975 450 001 9910983360403321 005 20251225181950.0 010 $a9783031747380 010 $a3031747380 024 7 $a10.1007/978-3-031-74738-0 035 $a(CKB)36382175500041 035 $a(DE-He213)978-3-031-74738-0 035 $a(MiAaPQ)EBC31733365 035 $a(Au-PeEL)EBL31733365 035 $a(EXLCZ)9936382175500041 100 $a20241018d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEnergy Informatics $e4th Energy Informatics Academy Conference, EI.A 2024, Kuta, Bali, Indonesia, October 23?25, 2024, Proceedings, Part I /$fedited by Bo Nørregaard Jørgensen, Zheng Grace Ma, Fransisco Danang Wijaya, Roni Irnawan, Sarjiya Sarjiya 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (XVII, 381 p. 141 illus., 122 illus. in color.) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15271 311 08$a9783031747373 311 08$a3031747372 320 $aIncludes bibliographical references and index. 327 $aIoT Edge Computing, and Software Innovations in Energy -- Scheduling Electric Currents in Converter-Dominated Power Grids with Time Slotted Energy Packets -- Symbiosis A Web Based Decision Support Tool for Achieving Symbiosis in Industrial Parks -- A Cost Effective Edge Computing Gateway for Smart Buildings -- Leveraging Internet of Things Network Metadata for Cost Effective Automatic Smart Building Visualization -- Process to Market A Web based Evaluation Tool for Electricity Market Participation -- IoT Based Smart Air Ventilation and Energy Management System -- Big Data Analytics and Cybersecurity in Energy -- Leveraging Open Data for Energy Source Selection in Bi Valent Industrial Processes -- Legal overview of latest developments in the Energy Sector regarding data protection and cybersecurity -- Energy Data Collection Protocol A Case Study on the ADRENALIN Project -- DataPro A Standardized Data Understanding and Processing Procedure A Case Study of an Eco-driving Project -- Detection of Municipal Heat Plan Documents Using Semantic Recognition Methods -- Digital Twin Technology and Energy Simulations -- Challenges in Transitioning from Co-Simulation to Practical Application A Case Study on Economic Emission Dispatch in a Greenhouse Compartment -- Multi Agent Based Simulation for Investigating Centralized Charging Strategies and their Impact on Electric Vehicle Home Charging Ecosystem -- Leveraging Digital Twins for Sustainable District Heating A Study on Waste Heat from Power to X Plants -- Hardware in the Loop Based Validation of Distribution System Control Applications with Grid Operators Customer and Market Participants -- Geospatial Semantic Enriched Digital Twin with Logical Reasoning Rules for Managing Control Loops -- Data Driven Digital Twin for Foundry Production Process Facilitating Best Practice Operations Investigation and Impact Analysis -- Energy data and consumer behaviors -- Automation level taxonomy for time series forecasting services Guideline for real world smart grid applications -- Enhanced Consumer Segmentation through Load Profile Analysis Using Auto encoder and K shape Cluster -- Occupants experiencing energy poverty Where are they in energy datasets and Time Use Surveys -- Extracting Daily Aggregate Load Profiles from Monthly Consumption -- Digitalization of District Heating and Cooling Systems -- Digitalization of District Heating Transforming Heat Networks for a Sustainable Future -- Fault detection in district heating substations overview of real life faults in residential heating installations -- Multi agent based modeling for investigating excess heat utilization from electrolyzer production to district heating network. 330 $aChapter ?Automation Level Taxonomy for Time Series Forecasting Services: Guideline for Real-World Smart Grid Applications? is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15271 606 $aMachine learning 606 $aArtificial intelligence 606 $aBusiness information services 606 $aComputers, Special purpose 606 $aData mining 606 $aMachine Learning 606 $aArtificial Intelligence 606 $aBusiness Information Systems 606 $aSpecial Purpose and Application-Based Systems 606 $aData Mining and Knowledge Discovery 615 0$aMachine learning. 615 0$aArtificial intelligence. 615 0$aBusiness information services. 615 0$aComputers, Special purpose. 615 0$aData mining. 615 14$aMachine Learning. 615 24$aArtificial Intelligence. 615 24$aBusiness Information Systems. 615 24$aSpecial Purpose and Application-Based Systems. 615 24$aData Mining and Knowledge Discovery. 676 $a006.3 702 $aJørgensen$b Bo Nørregaard 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983360403321 996 $aEnergy informatics$92276214 997 $aUNINA