Power Engineering and Intelligent Systems  Proceedings of PEIS 2023, Volume 2 /  [electronic resource] : 
edited by Vivek Shrivastava, Jagdish Chand Bansal, Bijaya Ketan Panigrahi. 
 - 1st ed. 2024. 
 - XII, 472 p. 267 illus., 203 illus. in color.  online resource. 
 - Lecture Notes in Electrical Engineering,  1098  1876-1119 ; .
 - Lecture Notes in Electrical Engineering,  1098 .
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9789819973835 
<br/><br/><label>Standard No.: </label>10.1007/978-981-99-7383-5  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/><br/><br/><br/><br/><br/>
<br/><br/><label>LC Class. No.: </label>TK1001-1841