Energy Informatics: 5th Energy Informatics Academy Conference, EI.A 2025, Kuala Lumpur, Malaysia, December 3–5, 2025, Proceedings, Part I
Author:   Bo Nørregaard Jørgensen ,  Zheng Grace Ma ,  Salman Yussof
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032191335


Pages:   416
Publication Date:   20 April 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
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Energy Informatics: 5th Energy Informatics Academy Conference, EI.A 2025, Kuala Lumpur, Malaysia, December 3–5, 2025, Proceedings, Part I


Overview

The two-volume set LNCS 16393 + 16394 constitutes the proceedings of the 5th Energy Informatics Academy Conference, EI.A 2025, held in Kuala Lumpur, Malaysia, during December 2025. The 39 full papers and 14 short papers included in these volumes were carefully reviewed and selected from 115 submissions. They are organized in the following topical sections:  Part I: Building Energy Forecasting & Modeling; Digital Infrastructure & Interoperability for Energy Systems; Local Energy Communities, Microgrids & Distributed Energy Resources; Data Centres, AI & Sustainable Energy Footprints; and  Context-Aware Digital Innovations for Energy Transitions.   Part II: Cybersecurity & Communications in Digital Energy Systems; Energy Storage & Circular Resource Management; Methods, Governance & Responsible Digitalization in Energy; Thermal Storage and Flexibility in Buildings; and Digital Innovation for Resilient Low-Carbon Industry.  

Full Product Details

Author:   Bo Nørregaard Jørgensen ,  Zheng Grace Ma ,  Salman Yussof
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032191335


ISBN 10:   3032191335
Pages:   416
Publication Date:   20 April 2026
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

.- Building Energy Forecasting & Modeling. .- Explainable Boosting Machine for Energy Consumption in Buildings. .- Intelligent IoT Device Powered by AI-based Models for Forecast and Classification. .- Scalable estimation of energy savings via demand-temperature modeling in commercial buildings. .- Data-Driven Simplified RC-Based Thermal Modeling of Indoor Temperature Dynamics. .- CLASH: An energy-aware service for building load forecasting computation.

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