TY  - BOOK
AU  - Shrivastava,Vivek
AU  - Bansal,Jagdish Chand
AU  - Panigrahi,Bijaya Ketan
ED  - SpringerLink (Online service)
TI  - Power Engineering and Intelligent Systems: Proceedings of PEIS 2023, Volume 2 
T2  - Lecture Notes in Electrical Engineering,
SN  - 9789819973835
AV  - TK1001-1841 
PY  - 2024///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Electric power production
KW  - Electric power distribution
KW  - Artificial intelligence
KW  - Electrical Power Engineering
KW  - Energy Grids and Networks
KW  - Artificial Intelligence
N1  - 1. A Comprehensive Survey on Security of Single Source Cloud to Distributed Enviroments Edge and Fog Computing -- 2. Load Frequency Control Of A Two Area Power System Using Different Optimization Techniques -- 3. A Comparative Analysis on Various Modified Deep Convolution Neural Networks on Maize Plant Leaf Disease Classification -- 4. State of Charge estimation of Li-Ion Batteries using Random Forest Regression Model with modified Parameters for Multiple Cycles -- 5. Ensemble Learning for Churn Analysis: A Comprehensive Evaluation of Methods -- 6. Performance analysis of Solar PV system for the remote region of State West Bengal, India
N2  - The 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 2023), held during June 24 – –25, 2023, at National Institute of Technology, Delhi, India
UR  - https://doi.org/10.1007/978-981-99-7383-5
ER  -