Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM45491
Volume:
9 |
4 |
Apr 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Load shedding, a common method for balancing electricity supply and demand, often causes disruptions that impact daily life and economic activities. Effective management of load shedding schedules is critical to minimizing its adverse effects. A programmable interface offers a flexible and user-centric solution to manage load shedding times efficiently. This system integrates programmable controllers and user-friendly interfaces to provide real-time schedule management. The programmable interface enables utility providers and end-users to dynamically adapt to changes in energy demand, ensuring equitable and predictable power distribution. Core features include automated notifications, priority-based scheduling, and customizable configurations to meet diverse requirements. The proposed solution employs IoT-enabled devices and software applications to enhance communication between utility providers and consumers. By leveraging data analytics, the system predicts peak demand periods, allocates resources efficiently, and adjusts schedules accordingly. Consumers can input their preferences, such as critical operation times, through an intuitive interface, allowing for more personalized energy management. Additionally, this interface supports integration with smart meters and renewable energy sources, promoting sustainability and reducing dependency on conventional energy grids. It empowers stakeholders to make informed decisions, optimize power usage, and mitigate the inconvenience caused by unplanned outages. The implementation of a programmable load shedding interface promises enhanced transparency, reliability, and consumer satisfaction. It serves as a significant step toward modernizing energy management systems, contributing to smarter and more resilient power distribution networks.
KEYWORDS
Publication Date
4/22/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
0
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...