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

2024 ed.

Book Details

Format Paperback / Softback
ISBN-10 3031747372
ISBN-13 9783031747373
Edition 2024 ed.
Publisher Springer International Publishing AG
Imprint Springer International Publishing AG
Country of Manufacture GB
Country of Publication GB
Publication Date Oct 19th, 2024
Print length 381 Pages
Ksh 10,800.00
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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 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 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.


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