Energy Informatics : 4th Energy Informatics Academy Conference, EI.A 2024, Kuta, Bali, Indonesia, October 23–25, 2024, Proceedings, Part I / / edited by Bo Nørregaard Jørgensen, Zheng Grace Ma, Fransisco Danang Wijaya, Roni Irnawan, Sarjiya Sarjiya

• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (XVII, 381 p. 141 illus., 122 illus. in color.)
• Disciplina: 006.3
• Soggetto topico: Machine learning; Artificial intelligence; Business information services; Computers, Special purpose; Data mining; Machine Learning; Artificial Intelligence; Business Information Systems; Special Purpose and Application-Based Systems; Data Mining and Knowledge Discovery
• Persona (resp. second.): JørgensenBo Nørregaard
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: IoT 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.
• Sommario/riassunto: Chapter “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.
• Titolo autorizzato: Energy informatics
• ISBN: 9783031747380; 3031747380
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910983360403321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 15271