Energy Informatics 4th Energy Informatics Academy Conference, EI.A 2024, Kuta, Bali, Indonesia, October 23–25, 2024, Proceedings, Part I /

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.

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Korporativní autor: SpringerLink (Online service)
Další autoři: Jørgensen, Bo Nørregaard (Editor), Ma, Zheng Grace (Editor), Wijaya, Fransisco Danang (Editor), Irnawan, Roni (Editor), Sarjiya, Sarjiya (Editor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Vydání:1st ed. 2025.
Edice:Lecture Notes in Computer Science, 15271
Témata:
On-line přístup:https://doi.org/10.1007/978-3-031-74738-0
Tagy: Přidat tag
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Obsah:
  • 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.