Description
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.
.- Cybersecurity & Communications in Digital Energy Systems.
.- Energy and time-Optimized Encryption involving Hybrid Architectures from AES and ChaCha20.
.- Lightweight Moving Target Defense for Robust Intrusion Detection in Smart Grids.
.- Energy-Informatics Driven Self-Calibrating TDMA Algorithm for Energy-Efficient and Reliable Wireless Body Sensor Networks (WBSN).
.- Enhancing Dynamic Threat Detection in IoT Networks Through Context-Aware Adaptive Cybersecurity.
.- Algorithms for Energy and Informatics Optimization.
.- Energy-Aware Optimization and Performance Analysis of LoRaWAN for IoT, Edge Computing, and Smart Sensor Systems.
.- Energy Storage & Circular Resource Management.
.- Designing an Intelligent Supply Chain for E-Waste Recycling in the Renewable Energy Sector: Applying.
.- Advanced Optimization Algorithms to Enable Circular Economy in Solar Panel and Wind Turbine Management.
.- Life Cycle Assessment of Solid-State Batteries with AI Enhanced Predictive and Recycling Models.
.- Integrating Energy Informatics and Optimization Algorithms for Corrosion Mitigation in Carbon Steel.
.- Boiler Tubes under Reverse Osmosis (RO) Water Conditions.
.- Comparative Analysis of Short-Term and Long-Term Multi-Objective Optimal Planning for Solar PV and Battery Energy Storage System Integration in Distribution Systems.
.- Deep Learning for Lithium Battery Management Systems: A Systematic Literature Review.
.- Methods, Governance & Responsible Digitalization in Energy.
.- Geolocation-Based, Privacy-Aware Indoor Climate Data Access and Control in IoT-Enabled Smart Buildings.
.- Blockchain-Enabled Demand Response: Designing Consumer-Centric Electricity Markets with Smart Contracts.
.- Ontology-driven generative adversarial networks for the design of renewable energy systems: A knowledge base approach.
.- Assessing The Effectiveness of Virtual Reality (VR) Integration in Electrical Engineering Education: A Fundamental Study on Student Practical Skill Development in Electrical Power System.
.- How Buildings are Textualized for Large language Models Processing: a Preliminary Study.
.- Investigating User Awareness and Consent Practices for Individual Privacy in Smart Building Environments.
.- Digital Energy Systems and Data Privacy: A Review of Legal and Ethical Considerations in Building and Grid-Level Applications.
.- Thermal Storage and Flexibility in Buildings.
.- Predictive Control in Buildings A commercializing view of the Norwegian building industry.
.- Data-driven thermal models for smart energy management in heating system.
.- Adaptive Transformer Q-Networks for Energy and Comfort Optimization in Smart Buildings.
.- Data-Driven Framework for Climate-Resilient Heritage Commercial Building Connected to District Heating.
.- Digital Innovation for Resilient Low-Carbon Industry.
.- A Data-Driven Framework for Clustering and Decision-Support in Energy-Intensive Industrial Melting Operations.
.- Towards operational platforms for Power-to-X plants and waste heat reuse management.
.- Uncovering Causal Drivers of Energy Efficiency for Industrial Process in Foundry via Time-Series Causal Inference.
.- Predictive Maintenance of Electrical Switchgears Using Calibrated Logistic Regression.
.- Hybrid Machine Learning Framework for Electrical Substation Defect Analysis and Predictive Maintenance.
.- Genetic Algorithm-Based Arrhenius Kinetics and Energy Yield Assessment for Wood Pyrolysis.
