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Full Description
This volume contains the proceedings of the 1st International Conference on Energy, Environment and Green Technology (ICEEGT 2025). The meeting, organized by the Department of Electrical Engineering, NITTTR, and Kolkata, focuses on the theme "Advancing Sustainable Innovations in Energy, Environment, and Green Technology for a Better Tomorrow". The forum emphasized sustainable energy production, environmental stewardship, and innovative green technologies as pivotal means to mitigate the impacts of climate change. The contributions provide perspectives on energy and environmental sustainability and explore applications in diverse commercial, industrial, and societal sectors.
The conference was organized into six tracks: innovative power systems for a sustainable future, green energy technologies and applications, energy storage systems and advanced power electronics, smart and resilient microgrids, environmental challenges and solutions in energy systems, and technological innovations for sustainable urban development. These contributions foster the integration of green and renewable energy sources while addressing global environmental challenges.
Contents
1 Integration of AI and Machine Learning for Powering Today's Energy Grids.- 2 Hosting Capacity Analysis for Futuristic Load Growth in Distribution System with Distributed Generators.- 3 Assessment of Multi-Resource Characterization Models to Forecast Cloud Workloads for Sustainable Virtual Datacenters.- 4 An Efficient Approach to Identify Fake News Using Machine Learning Algorithms.- 5 Resilience and Frequency Regulation Enhancement of Renewable Integrated Multi Area Power System Using Puma Optimized Fuzzy PID Controller.- 6 A Procedure to Minimise Neutral Current in Unbalanced Radial Distribution Systems.- 7 Mitigation of Unbalance in Unevenly Loaded Distribution System.- 8 Analysis and Prediction of Renewable Energy Generation in Microgrid.- 9 An Empirical Investigation of the Reliability of Drone Cameras Used in Power System Monitoring Systems.- 10 Comparison of Global Standard and Grid Code for Interconnecting Microgrid.- 11 Dynamic Voltage Restorer for Enhancing Voltage Stability and Low Voltage Ride-Through Capability in Wind-Integrated Microgrids.- 12 Enhancing Irrigation Infrastructure: A Case Study on the Mega Lift irrigation Project in Malkangiri, Odisha.- 13 Sustainable Paper-Based Touch Sensors: An Eco-Friendly Alternative to Conventional Touch Technologies.- 14 Aquila Optimized PP-FOPID controller for frequency analysis of Highly Penetrated Renewable Energy Power System.- 15 Air Pollution Prediction with KNN Model.- 16 A Case Study of Green Energy Usage by Tech Companies in the U.S. for Sustainable Environment.- 17 Novel Monastery Activity-Based Optimization Algorithm Power Loss Diminution in Electrical Distribution Network.- 18 IoT Integrated Environment Monitoring System with Data Accuracy and Android Application Platform.- 19 Multi-area Optimal Dispatch Incorporating with Renewable Energy Sources.- 20 TruthSeeker: A Comprehensive Social Media Dataset for Real and Fake Content Analysis.- 21 Enhanced Fingerprint Verification and Identification Using A-KAZE and SURF Algorithms.- 22 Artificial Intelligence Based Psychometric Evaluation Using Text and Video Data for Personality Assessment.- 23 Load Flow Analysis Using Gauss-Seidel Method in PSS/E.- 24 Development of Techno-Economic Hybrid Microgrid for a Commercial Building.- 25 AI based Fault Recognition and Classification in Microgrid System.- 26 A Review on Machine Learning Techniques Applied to Magnetostrictive Sensor for Structural Health Monitoring.- 27 Hybrid Machine Learning Technique based Prediction Model for Phishing Websites Detection.- 28 Optimized Energy Scheduling for Smart Home Appliances in Demand Response Programs.- 29 Regional Analysis of Solar Power Efficiency Across Diverse Topological Zones Of Delhi.- 30 Fake Accounts Detection in Social Media Using Machine Learning Techniques.- 31 Performance Analysis of Gasifier-IC Engine Using Low-Grade Coal Feedstock.- 32 Artificial Neural Network-Based Fault Detection and Classification in Active Distribution Networks.
