Al Dabbagh, Nayyef SamiHamodat, Zaid MusaabBasheer, Ayman Ghassan2025-02-062025-02-0620232077-3528https://hdl.handle.net/20.500.12939/5357Energy utilization and the board are enormous issues in a culture where we just develop our utilization of force in our day-to-day existences. For power framework administrators, estimating electric energy request is an imperative part of matrix the executives. The necessity of anticipating a specific household's daily energy usage affects the end-user as well, in light of the ideal plan and size of an environmentally friendly power framework and energy stockpiling. The motivation behind this postulation is to plan and prepare a PC framework equipped for determining home power use with as much precision as possible. At last, gauging of the ideal models made with the experiences assembled all through the exploration was performed and looked at over various uncommonly chosen time spans. The outcomes exhibited how, with the legitimate data sources and hyperparameter determination, a shallow ANN can give specific exactness in estimating electric energy interest. What's more, a procedure for creating and it is given to prepare a fake brain organization. © 2023, International Organization on 'Technical and Physical Problems of Engineering'. All rights reserved.eninfo:eu-repo/semantics/closedAccessArtificial Neural Networks (ANN)Energy StorageRenewable Energy SystemArticle15572622692-s2.0-85183157401Q3