Power Engineering and Intelligent Systems : Proceedings of PEIS 2023, Volume 2 / edited by Vivek Shrivastava, Jagdish Chand Bansal, Bijaya Ketan Panigrahi

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..

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..

Medienart:

E-Book

Erscheinungsjahr:

2024.

Erschienen:

Singapore: Springer Nature Singapore ; 2024.

Singapore: Imprint: Springer ; 2024.

Ausgabe:

1st ed. 2024.

Reihe:

Lecture Notes in Electrical Engineering - 1098

Sprache:

Englisch

Beteiligte Personen:

Shrivastava, Vivek [HerausgeberIn]
Bansal, Jagdish Chand [HerausgeberIn]
Panigrahi, Bijaya Ketan [HerausgeberIn]

Links:

doi.org [lizenzpflichtig]

ISBN:

978-981-99-7383-5

Themen:

Artificial intelligence.
Electric power distribution.
Electric power production.

Umfang:

1 Online-Ressource(XII, 472 p. 267 illus., 203 illus. in color.)

doi:

10.1007/978-981-99-7383-5

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

1879513536