Energy Informatics
4th Energy Informatics Academy Conference, EI.A 2024, Kuta, Bali, Indonesia, October 23-25, 2024, Proceedings, Part I
Herausgegeben: Jørgensen, Bo Nørregaard; Ma, Zheng Grace; Wijaya, Fransisco Danang; Irnawan, Roni; Sarjiya, Sarjiya
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The two-volume set LNCS 15271 and 15272 constitutes the proceedings of the 4th Energy Informatics Academy Conference, EI.A 2024, held in Kuta, Bali, Indonesia, during October 23 25, 2024.The 40 full papers and 8 short papers included in these proceedings were carefully reviewed and selected from 64 submissions. They are categorized under the topical sections as follows:Part I: IoT Edge Computing, and Software Innovations in Energy, Big Data Analytics and Cybersecurity in Energy, Digital Twin Technology and Energy Simulations, Energy data and consumer behaviors, and Digitalization of District H...
The two-volume set LNCS 15271 and 15272 constitutes the proceedings of the 4th Energy Informatics Academy Conference, EI.A 2024, held in Kuta, Bali, Indonesia, during October 23 25, 2024.
The 40 full papers and 8 short papers included in these proceedings were carefully reviewed and selected from 64 submissions. They are categorized under the topical sections as follows:
Part I: IoT Edge Computing, and Software Innovations in Energy, Big Data Analytics and Cybersecurity in Energy, Digital Twin Technology and Energy Simulations, Energy data and consumer behaviors, and Digitalization of District Heating and Cooling Systems.
Part II: Smart Buildings and Energy Communities, Energy Pricing, Trading, and Market Dynamics, Demand Flexibility and Energy Conservation Strategies, Optimization of Energy Systems and Renewable Integration and Energy System Resilience and Reliability.
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.
The 40 full papers and 8 short papers included in these proceedings were carefully reviewed and selected from 64 submissions. They are categorized under the topical sections as follows:
Part I: IoT Edge Computing, and Software Innovations in Energy, Big Data Analytics and Cybersecurity in Energy, Digital Twin Technology and Energy Simulations, Energy data and consumer behaviors, and Digitalization of District Heating and Cooling Systems.
Part II: Smart Buildings and Energy Communities, Energy Pricing, Trading, and Market Dynamics, Demand Flexibility and Energy Conservation Strategies, Optimization of Energy Systems and Renewable Integration and Energy System Resilience and Reliability.
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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