Khan, Shahidul IslamZunaed, MohammadChowdhury, Saad MahbubKhan, MoinRifat, Md Istiauk HossainKamal, ZoharaKhan, Md Borhan Uddin2025-08-312025-08-3120252025-05ID 19121118ID 20121071ID 20321040ID 20221024http://hdl.handle.net/10361/26613Cataloged from PDF version of final year design project.Includes bibliographical references (pages 88-90).This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2025.This project introduced energy monitoring system for textile industry in Bangladesh. It combines IoT hardware with NILM methodology to carry out the real-time monitoring of individual machine level energy consumption. Two methods i.e. (Intrusive Load Monitoring) ILM and (Non Intrusive Load Monitoring) NILM were compared among which NILM was chosen for its cost effectiveness, scalability and ease of adaptability. The network monitors the total voltage and current with sensors and sends the data to the cloud server with ESP8266. A deep learning model MATNilm was developed to disaggregate the total energy into machine wise power consumption with acceptable accuracy (the average F1-score: 0.73). Real time display via Google Sheets with Blynk app is enabled. The product is conducive for remote monitoring, energy audit and adheres to national and international efficiency goals. Upcoming work will help refine model accuracy, on edge deployment and predictive maintenance. The system provides an industrial application for energy optimization.121 pagesenBRAC University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Energy monitoring systemTextile industryIoT hardwareNon-intrusive load monitoringIntrusive load monitoringDeep learning modelReal-time monitoringF1-scorePredictive maintenanceEnergy auditRemote monitoringEnergy systems--Automation.Textile industry--Automation.Energy consumption--Remote sensing.Textile industry--Energy conservation.Project Report