Energy Informatics

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.