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Research Article

Next-Generation Load Forecasting Architecture for Smart Energy Grids

Balraj Manikaraj1 Maheswari.E2 Lokesh Panduranganpn3

1 2 UG Students, Department of Electrical and Electronics Engineering, J.K.K. Munirajah College of Technology, Erode, Tamil Nadu, India. 3 Professor, Department of Electrical and Electronics Engineering, J.K.K. Munirajah College of Technology, Erode, Tamil Nadu, India.

Published Online: September-December 2024

Pages: 12-14

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Abstract

The electric power load alludes to power utilization as power or energy. The electrical energy is produced in the power plant and disseminated by means of electric power conveyance utilities (EDU) to its end clients (buyers) through lengthy transmission frameworks. Power framework engineers utilize various techniques to ideally plan, screen, and work various parts of the present modern power frameworks. A portion of these strategies are monetary dispatch, unit responsibility, state assessment, programmed age control, security examination, ideal power stream, and burden figure. One of the significant goals for EDUs is to give end clients (market interest) with safe furthermore, stable power. Consistently the interest of force is expanding massively. Electrical energy can't be put away. It must be produced at whatever point there is an interest for it. It is, thusly, basic for the electric power dispersion utilities that the heap on their frameworks ought to be assessed ahead of time. This assessment of burden ahead of time is normally known as Electric Power Load Estimating (EPLF). As such, to know the day to day or week by week or month to month or yearly increment, there is an indicator in it to foresee this nature of burden development by understanding the past history of the heap development and the current status of different variables which impact the electric power load utilization that is called as Electric Power Burden Estimating (EPLF). Along these lines, EPLF is the forecast of future heaps of a power framework and is a fundamental cycle in the preparation of power industry and the activity of force frameworks.

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Citations

Balraj Manikaraj, Maheswari.E, Lokesh Panduranganpn, “Next-Generation Load Forecasting Architecture for Smart Energy Grids”, Indian Journal of Electrical and Electronics Engineering, Volume 01, Issue 03, September-December 2024, PP: 12-14.

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© 2026 The Author(s). Published by Fifth Dimension Research Publication.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

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