Energy Informatics (eBook, PDF)
4th Energy Informatics Academy Conference, EI.A 2024, Kuta, Bali, Indonesia, October 23-25, 2024, Proceedings, Part I
Redaktion: Jørgensen, Bo Nørregaard; Sarjiya, Sarjiya; Irnawan, Roni; Wijaya, Fransisco Danang; Ma, Zheng Grace
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Energy Informatics (eBook, PDF)
4th Energy Informatics Academy Conference, EI.A 2024, Kuta, Bali, Indonesia, October 23-25, 2024, Proceedings, Part I
Redaktion: Jørgensen, Bo Nørregaard; Sarjiya, Sarjiya; Irnawan, Roni; Wijaya, Fransisco Danang; Ma, Zheng Grace
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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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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.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Springer International Publishing
- Seitenzahl: 381
- Erscheinungstermin: 18. Oktober 2024
- Englisch
- ISBN-13: 9783031747380
- Artikelnr.: 72241397
- Verlag: Springer International Publishing
- Seitenzahl: 381
- Erscheinungstermin: 18. Oktober 2024
- Englisch
- ISBN-13: 9783031747380
- Artikelnr.: 72241397
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
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.
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.