Energy Informatics

.- 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.

• Erscheinungsdatum: 06.05.2026
• Autor/Autorin: Bo Nørregaard Jørgensen
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 47.4 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 420 Seiten
• ISBN: 9783032191373
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.