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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1380451647
Titel Energy Informatics : First Nordic Energy Informatics Academy Conference, EIA Nordic 2025, Stockholm, Sweden, August 20–22, 2025, Proceedings, Part I / edited by Ivo Martinac, Bo Nørregaard Jørgensen, Zheng Grace Ma, Rúnar Unnþórsson, Chiara Bordin
Person(en) Martinac, Ivo (Herausgeber)
Jørgensen, Bo Nørregaard (Herausgeber)
Ma, Zheng (Herausgeber)
Unnþórsson, Rúnar (Herausgeber)
Bordin, Chiara (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2026
Verlag Cham : Springer Nature Switzerland, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2026
Umfang/Format Online-Ressource, XVII, 389 p. 173 illus., 165 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-3-032-03100-6
Printed edition:: ISBN: 978-3-032-03102-0
Inhalt -- Energy Forecasting and Intelligent Control Systems. -- A Multi-Stage Deep Learning Framework for Short-Term Electricity Load Forecasting. -- Solaris AI: Enhancing Solar Energy Forecasting with Generative AI and Deep Learning. -- A Tool for Synthesizing and Implementing Medium Voltage Load Profiles. -- Decentralized Reinforcement Learning for Adaptive Power Sharing in Hybrid DC Microgrids. -- District Heating, Thermal Systems, and Retrofit Strategies. -- Digitalization in District Heating: Comparative Insights from Denmark and Sweden on Adoption, Barriers, and Value Creation. -- Evaluating Retrofit Strategies and Decentralized Systems for the transition to Low-Temperature District Heating: A Simulation-Based Case Study in Borlänge, Sweden. -- Parametric study model for observing exergy balance through the series of subsystems in district heating. -- Demand-side Frequency Response based on District Heating System Integrated with Heat Pump. -- A parametric optimization approach for enviro-economic evaluation of en ergy renovation strategies - a case study on a congregation house in southern Sweden. -- Building Simulation, Urban Energy, and Environmental Sensing. Development of an Automated 3D Building Modeling Method and UrbanScale Analysis of Heating and Cooling Loads. -- Research on 3D Modeling for Thermal Environment Simulation Using Publicly Available Map Data. -- Rooftop Irregularity Segmentation in Aerial Imagery Using Deep Learning. -- Autonomous Air Quality Monitoring System with Photovoltaic Energy Harvesting: A Sustainable Approach for Public Policie. -- How clean is the air you breathe during urban walk? A case study of Central London. -- Industrial Process Efficiency and Biomass Utilization. -- Examining the role of Digital Technologies and Artificial Intelligence in Climate Resilience and Energy Adaptation within Energy-Intensive Industries. -- Energy Efficiency Optimization in Plastic Pyrolysis: A Data-Driven Modeling Study. -- Globally Optimal Scheduling for Industrial Energy Cost Reduction Under Dynamic Electricity Pricing. -- Energy Informatics for Electric Vehicles and Mobility Systems. -- The Irish Highway Network: A Novel Test Instance for the Charging Station Location Problem. -- Enhancing EVRP Benchmark Instances with Energy Estimates. -- Economic and Environmental Benefits of Centralized MILP Optimization of EV Fleet Charging. -- Electric Vehicle based virtual electricity network (EVEN) solution for performance enhancement in distribution network. -- Variational Quantum Eigensolver-Based CaaS Business Model for V2G. -- Multi-Agent Systems and Local Market Coordination. -- Towards ICT-Enabled Multi-Agent based Operations in Local Energy Communities: A Proof of Concept. -- A Peer-to-Peer Energy Management Model. -- Agent-based Flexibility Aggregation for a Distributed Redispatch. -- A Visualization Framework for Exploring Multi-Agent-Based Simulations: Case Study of an Electric Vehicle Home Charging Ecosystem
Persistent Identifier URN: urn:nbn:de:101:1-2511010333252.777488515542
DOI: 10.1007/978-3-032-03101-3
URL https://doi.org/10.1007/978-3-032-03101-3
ISBN/Einband/Preis 978-3-032-03101-3
Sprache(n) Englisch (eng)
Beziehungen Lecture Notes in Computer Science ; 16095
Sachgruppe(n) 333.7 Natürliche Ressourcen, Energie und Umwelt

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