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Title: :  Power Plant Management Application
PaperId: :  23062
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23062
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
KAVIARASU SBANNARI AMMAN INSTITUTE OF TECHNOLOGY
PRADEEP NBANNARI AMMAN INSTITUTE OF TECHNOLOGY
RAJESH RBANNARI AMMAN INSTITUTE OF TECHNOLOGY
Dr SHANKAR NBANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

Electrical and Electronics Engineering
concurrency , lightweight, scalability and synchronization
The Power Plant Management System is a critical component in ensuring the efficient operation and maintenance of power generation facilities. In this study, we propose an innovative approach to power plant management utilizing Go routines, a lightweight concurrency model in the Go programming language. The system aims to streamline various aspects of power plant operations, including real-time monitoring, predictive maintenance, and optimization of energy production processes. The aim of the "Power Plant Management application" is to develop a sophisticated software application that integrates advanced technologies to streamline, optimize, and secure the operations of power plants. The system will provide a centralized platform for real-time monitoring, predictive maintenance, and data analytics to enhance overall efficiency and reliability. The utilization of Go routines offers several advantages in the context of power plant management. Firstly, the lightweight nature of Go routines enables the system to handle thousands of concurrent tasks efficiently, enhancing responsiveness and scalability. Secondly, the cooperative scheduling mechanism of Go routines allows for seamless coordination and synchronization of concurrent operations, ensuring optimal resource utilization within the power plant environment. Additionally, Go routines facilitate simplified error handling through return values and channels, contributing to the robustness and reliability of the system. Key features of the proposed Power Plant Management System include real-time monitoring of critical parameters, predictive maintenance algorithms for early fault detection, and optimization of energy production based on demand forecasting. The system also incorporates advanced security measures to safeguard sensitive data and ensure the integrity of power plant management operations.

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IJARIIE KAVIARASU S, PRADEEP N, RAJESH R, and Dr SHANKAR N. "Power Plant Management Application" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 2372-2393
MLA KAVIARASU S, PRADEEP N, RAJESH R, and Dr SHANKAR N. "Power Plant Management Application." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 2372-2393.
APA KAVIARASU S, PRADEEP N, RAJESH R, & Dr SHANKAR N. (2024). Power Plant Management Application. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 2372-2393.
Chicago KAVIARASU S, PRADEEP N, RAJESH R, and Dr SHANKAR N. "Power Plant Management Application." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 2372-2393.
Oxford KAVIARASU S, PRADEEP N, RAJESH R, and Dr SHANKAR N. 'Power Plant Management Application', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 2372-2393. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Power_Plant_Management_Application_ijariie23062.pdf (Accessed : 03 September 2025).
Harvard KAVIARASU S, PRADEEP N, RAJESH R, and Dr SHANKAR N. (2024) 'Power Plant Management Application', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 2372-2393IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Power_Plant_Management_Application_ijariie23062.pdf (Accessed : 03 September 2025)
IEEE KAVIARASU S, PRADEEP N, RAJESH R, and Dr SHANKAR N, "Power Plant Management Application," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 2372-2393, Mar-App 2024. [Online]. Available: http://ijariie.com/AdminUploadPdf/Power_Plant_Management_Application_ijariie23062.pdf [Accessed : 03 September 2025].
Turabian KAVIARASU S, PRADEEP N, RAJESH R, and Dr SHANKAR N. "Power Plant Management Application." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 (03 September 2025).
Vancouver KAVIARASU S, PRADEEP N, RAJESH R, and Dr SHANKAR N. Power Plant Management Application. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 03 September 2025]; 10(2) : 2372-2393. Available from: http://ijariie.com/AdminUploadPdf/Power_Plant_Management_Application_ijariie23062.pdf
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