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

Contributor(s): Material type: TextSeries: Lecture Notes in Electrical Engineering ; 1098Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XII, 472 p. 267 illus., 203 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789819973835
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No titleLOC classification:
  • TK1001-1841
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: 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.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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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.

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Biblioteca Universității "Dunărea de Jos" din Galați