Power Engineering and Intelligent Systems : Proceedings of PEIS 2024, Volume 2 (Lecture Notes in Electrical Engineering) （2025）

Shrivastava, Vivek (EDT)/ Bansal, Jagdish Chand (EDT)/ Panigrahi, B. K. (EDT)

Springer Nature（2024/11発売）

• 製本 Hardcover:ハードカバー版／ページ数 600 p.
• 言語 ENG
• 商品コード 9789819767137

Full Description

This book presents a collection of the high-quality research articles in the field of power engineering, grid integration, energy management, soft computing, artificial intelligence, signal and image processing, data science techniques, and their real-world applications. The papers are presented at International Conference on Power Engineering and Intelligent Systems (PEIS 2024), held during March 16-17, 2024, at National Institute of Technology Srinagar, Uttarakhand, India.

Contents

Chapter 1: Study of the Optimal Sizing of Battery Energy Storage Systems for Microgrid Applications.- Chapter 2: Integrated State of Charge and State of Health Method for Operating Range Prediction in Electric Vehicles.- Chapter 3: Crime Prediction Using Ensemble Machine Learning Approach.- Chapter 4: Gated Recurrent Unit with Attention mechanism for IC50 Prediction model using Amyotrophic Lateral Sclerosis Related Proteins.- Chapter 5: Exploring Echo State Network for Detection of Gait Freezing in Parkinson's Patients Optimized through Modified Metaheuristics.- Chapter 6: Computer Vision-Based Self-Inflicted Violence Detection in High-Rise Environments using Deep Learning.- Chapter 7: Two Sliding Mode Control Strategies for Maglev Systems with Help of Kalman Filter.- Chapter 8: A Deep Learning Framework on Embedded ADAS Platform for Lane and Road Detection.- Chapter 9: Innovative Convolutional Neural Network Approach to Enhance Real-Time Face Recognition Accuracy.- Chapter 10: Tomato Plant Leaf Disease Prediction and Suggestion Using Deep Learning. etc.