Degree
Master of Science in Data Science
Department
Department of Computer Science
Faculty/ School
School of Mathematics and Computer Science (SMCS)
Date of Submission
Fall 2023
Supervisor
Dr. Farhan Ahmed Siddiqui
Keywords
IoT, Python, Azure, data generation, data aggregation, predictive analytics, visualization
Abstract
In order to improve energy distribution management, this project investigates the possibility of combining cloud-based analytics with the Internet of Things (IoT). For the purpose of simulating data pertaining to energy consumption, the project makes use of Python for the generation of data, Azure IoT Hub for the aggregation of data, Azure Stream Analytics for the processing of data, Azure SQL Database for storage, Azure Machine Learning for predictive analytics, and Microsoft Power BI for the visualization of data. This entire method provides a solution for energy management that is both real-time and scalable, thereby solving important difficulties that are currently being faced in the field.
Document Type
Restricted Access
Submission Type
Research Project
Recommended Citation
Kalim, T. (2023). Enerythm - Cloud Based Energy Distribution Management System with Real-Time Analytics and Machine Learning Insights (Unpublished graduate research project). Institute of Business Administration, Pakistan. Retrieved from https://ir.iba.edu.pk/research-projects-msds/21
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