Intelligent Urban Systems: IoT-Driven Energy Management and Smart City Optimization

State of Health Estimation of Lithium-Ion Batteries in Electric Vehicles.- Predictive Maintenance of Wind Turbines Using Machine Learning: Addressing Fault Detection with SCADA Data.- Photovoltaic and Wind Power Forecasting Using LSTM Networks with Adaptive Hyperparameter Tuning.- Short-Term PV Power Forecasting Using LSTM: A Case Study of grid-connected PV system in Adrar City.- Intra-Hour Solar Irradiance Forecasting Based on Feature Selection Techniques.- Hourly Global Solar Irradiance Forecasting in a Desert Region Using a Deep Neural Model with Hybrid Inputs.- Estimating Power Outputs of Thin Film CIS PV Modules Using Neuronal Approach: A case Study in Arid Environment.- Artificial Intelligence Applications for Indoor Thermal Comfort in Residential Buildings: A Scoping Review of Early.- Design Methods.- AI-Driven Smart Management and Optimization of Green Hydrogen Production in Renewable Energy Grids Using Bio-Inspired Algorithms and Edge Computing.- Reinforcement Learning for Energy-Aware Vehicle Routing in Renewable-Powered Microgrid Systems.- Optimal Power Management and Control of Islanded Microgrid to Prevent Under-Frequency Load Shedding During Load Variations.- A New Differential Evolution-based Routing Protocol for Surveillance Drones in Urban Areas.- AI-Assisted Design and Characterization of a Novel Cytosine-Based Hybrid Material for Renewable Energy Applications.- Biomass Diatomite-Supported Ferrihydrite Silicide Hybrid Granule Catalyst TiO2:Synthesis and Evaluation for Photocatalytic Dye Removal.- Facile sono chemical synthesis and characterization of cobalt oxide nanoparticles in the presence of ionic liquid.- Ab Initio Investigation of an Rb-Based Half-Heusler Alloy for Energy Harvesting Applications.

• Erscheinungsdatum: 29.09.2026
• Autor/Autorin: Mustapha Hatti
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 71.5 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 478 Seiten
• ISBN: 9783032320452
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.