{"product_id":"energy-informatics-bo-norregaard-jorgensen-ebook","title":"Energy Informatics","description":"\u003cp\u003e.- \u003cstrong\u003eCybersecurity \u0026amp; Communications in Digital Energy Systems\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003e.- Energy and time-Optimized Encryption involving Hybrid Architectures from AES and ChaCha20.\u003c\/p\u003e\n\u003cp\u003e.- Lightweight Moving Target Defense for Robust Intrusion Detection in Smart Grids.\u003c\/p\u003e\n\u003cp\u003e.- Energy-Informatics Driven Self-Calibrating TDMA Algorithm for Energy-Efficient and Reliable Wireless Body Sensor Networks (WBSN).\u003c\/p\u003e\n\u003cp\u003e.- Enhancing Dynamic Threat Detection in IoT Networks Through Context-Aware Adaptive Cybersecurity.\u003c\/p\u003e\n\u003cp\u003e.- Algorithms for Energy and Informatics Optimization.\u003c\/p\u003e\n\u003cp\u003e.- Energy-Aware Optimization and Performance Analysis of LoRaWAN for IoT, Edge Computing, and Smart Sensor Systems.\u003c\/p\u003e\n\u003cp\u003e.- \u003cstrong\u003eEnergy Storage \u0026amp; Circular Resource Management\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003e.- Designing an Intelligent Supply Chain for E-Waste Recycling in the Renewable Energy Sector: Applying.\u003c\/p\u003e\n\u003cp\u003e.- Advanced Optimization Algorithms to Enable Circular Economy in Solar Panel and Wind Turbine Management.\u003c\/p\u003e\n\u003cp\u003e.- Life Cycle Assessment of Solid-State Batteries with AI Enhanced Predictive and Recycling Models.\u003c\/p\u003e\n\u003cp\u003e.- Integrating Energy Informatics and Optimization Algorithms for Corrosion Mitigation in Carbon Steel.\u003c\/p\u003e\n\u003cp\u003e.- Boiler Tubes under Reverse Osmosis (RO) Water Conditions.\u003c\/p\u003e\n\u003cp\u003e.- Comparative Analysis of Short-Term and Long-Term Multi-Objective Optimal Planning for Solar PV and Battery Energy Storage System Integration in Distribution Systems.\u003c\/p\u003e\n\u003cp\u003e.- Deep Learning for Lithium Battery Management Systems: A Systematic Literature Review. \u003c\/p\u003e\n\u003cp\u003e.- \u003cstrong\u003eMethods, Governance \u0026amp; Responsible Digitalization in Energy\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003e.- Geolocation-Based, Privacy-Aware Indoor Climate Data Access and Control in IoT-Enabled Smart Buildings.\u003c\/p\u003e\n\u003cp\u003e.- Blockchain-Enabled Demand Response: Designing Consumer-Centric Electricity Markets with Smart Contracts.\u003c\/p\u003e\n\u003cp\u003e.- Ontology-driven generative adversarial networks for the design of renewable energy systems: A knowledge base approach.\u003c\/p\u003e\n\u003cp\u003e.- Assessing The Effectiveness of Virtual Reality (VR) Integration in Electrical Engineering Education: A Fundamental Study on Student Practical Skill Development in Electrical Power System.\u003c\/p\u003e\n\u003cp\u003e.- How Buildings are Textualized for Large language Models Processing: a Preliminary Study.\u003c\/p\u003e\n\u003cp\u003e.- Investigating User Awareness and Consent Practices for Individual Privacy in Smart Building Environments.\u003c\/p\u003e\n\u003cp\u003e.- Digital Energy Systems and Data Privacy: A Review of Legal and Ethical Considerations in Building and Grid-Level Applications.\u003c\/p\u003e\n\u003cp\u003e.- \u003cstrong\u003eThermal Storage and Flexibility in Buildings\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003e.- Predictive Control in Buildings – A commercializing view of the Norwegian building industry.\u003c\/p\u003e\n\u003cp\u003e.- Data-driven thermal models for smart energy management in heating system.\u003c\/p\u003e\n\u003cp\u003e.- Adaptive Transformer Q-Networks for Energy and Comfort Optimization in Smart Buildings.\u003c\/p\u003e\n\u003cp\u003e.- Data-Driven Framework for Climate-Resilient Heritage Commercial Building Connected to District Heating.\u003c\/p\u003e\n\u003cp\u003e.- \u003cstrong\u003eDigital Innovation for Resilient Low-Carbon Industry\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003e.- A Data-Driven Framework for Clustering and Decision-Support in Energy-Intensive Industrial Melting Operations.\u003c\/p\u003e\n\u003cp\u003e.- Towards operational platforms for Power-to-X plants and waste heat reuse management.\u003c\/p\u003e\n\u003cp\u003e.- Uncovering Causal Drivers of Energy Efficiency for Industrial Process in Foundry via Time-Series Causal Inference.\u003c\/p\u003e\n\u003cp\u003e.- Predictive Maintenance of Electrical Switchgears Using Calibrated Logistic Regression.\u003c\/p\u003e\n\u003cp\u003e.- Hybrid Machine Learning Framework for Electrical Substation Defect Analysis and Predictive Maintenance.\u003c\/p\u003e\n\u003cp\u003e.- Genetic Algorithm-Based Arrhenius Kinetics and Energy Yield Assessment for Wood Pyrolysis.\u003c\/p\u003e","brand":"Bo Nørregaard Jørgensen","offers":[{"title":"Default Title","offer_id":53875491569991,"sku":"9783032191373","price":60.98,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/energy-informatics-ebook-cover.webp?v=1778184811","url":"https:\/\/www.cinebuch.de\/products\/energy-informatics-bo-norregaard-jorgensen-ebook","provider":"CineBuch","version":"1.0","type":"link"}