• Neu
Gundebommu / Chintala / Kotha | Renewable Energy, Green Computing, and Sustainable Development | E-Book | sack.de
E-Book

E-Book, Englisch, 353 Seiten

Reihe: Communications in Computer and Information Science

Gundebommu / Chintala / Kotha Renewable Energy, Green Computing, and Sustainable Development

Second International Conference, REGS 2025, Hyderabad, India, February 21–22, 2025, Proceedings, Part I
Erscheinungsjahr 2025
ISBN: 978-3-032-00884-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

Second International Conference, REGS 2025, Hyderabad, India, February 21–22, 2025, Proceedings, Part I

E-Book, Englisch, 353 Seiten

Reihe: Communications in Computer and Information Science

ISBN: 978-3-032-00884-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark



This two-volume set CCIS 2612-2613 constitutes the refereed proceedings of the Second International Conference on Renewable Energy, Green Computing, and Sustainable Development, REGS 2025, held in Hyderabad, India, during February 21–22, 2025.
The 54 full papers were carefully reviewed and selected from 351 submissions. REGS 2025 is an interdisciplinary conference that aims at diverse fields of engineering and technology with a focus on smart and energy efficient computing, green technology and sustainable systems design and development, ranging from theoretical developments to industrial problems.

Gundebommu / Chintala / Kotha Renewable Energy, Green Computing, and Sustainable Development jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


Renewable Energy.- A Comprehensive Review on Advanced Frequency Response Measurement Techniques for Detecting Transformer Winding damages.- Fault evaluation of Photovoltaic module using Deep Learning Strategies.- Analysis of the efficiency and quality of energy production of photovoltaic solar systems installed in different cities of Ecuador.- Economic Energy Assessment of the Hybrid Isolated Microgrid SPV/Wind/Batteries at the Guayaquil campus.- DC Link Voltage Improvement of Solar PV Based I Luo Converter using Novel Control Algorithm.- Infuence of Artificial Partial Shading of Photovoltaic Modules on Solar Rays Reflection and Loses of Generated Energy.- Modified Grey Wolf Optimizer for high precision parameter extraction in solar cell models.- Newton Raphson Based Optimizer for parameter extraction of PV cell A comparative analysis with advanced metaheuristics.- Automated control system of power transformers cooling located on RES.- AI Driven Framework for Optimized Renewable Integration and Real Time Energy Management in Smart Grids.- Distributed Generation System and the Role of UPQC in accomplishing Power Quality standards.- Green Computing.- Designing and Integrating an IoT Powered Intelligent Healthcare System for monitoring ECG and Temperature.- Automatic License Plate Recognition in Unconstrained Scenarios Using Improved Deep Learning Techniques.- Haze Removal of Images by Dark Channel Prior using Enhanced Transmission Map Refinement Techniques.- Combining Summarization Models Using Semantic Similarity.- Optimizing the Planning of DGs in a Radial Distribution System Using a Multi-Criterion Decision Making TOPSIS Approach.- A Comprehensive Review of Solar Power Transmission System Device Health Condition Monitoring in Real Time.- Gravitational Search Algorithm based Optimal Position of DG and Capacitor with Restructuring.- Recognition of Micro expression using Deep Learning Approaches A study of Datasets, features, methods and Challenges.- Development of Deep Learning Technique for Crop Pest Classification.- Leaf shaped Antenna for Broadband Applications.- Design of Microstrip Patch Antenna Array for Cubesat Applications.- VLSI Implementation of a Low Power Area Delay Efficient Approximate Multiplier for 2D FIR filter Architectures.- ECG Heart beat classification by hybrid of ELM and Decision Rule using Feature Selection.- Automated Smart Petrol Pump Based on IOT.- Attention Based Refinement and Criss Cross Mechanisms in GANs for Improved Deepfake Detection.- Transformer model used to predict stocks of the Stock Market.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.