Assistant Professor Dr. Hisham Latif Swadi, a faculty member in the Department of Electrical Engineering at the College of Engineering, University of Basrah, has co-authored a scientific paper published in the Journal of Data Science and Intelligent Systems—a journal issued by Bon View Publishing and ranked in the first quartile (Q1) according to the 2025 CiteScore index. The paper is titled:

"A Carbon-Aware IoT Scheduling Framework for Sustainable Smart Homes Using Predictive Energy Models"

The research introduces an intelligent framework for managing energy consumption in homes. It integrates Internet of Things (IoT) technologies with energy demand forecasting and the estimation of carbon emission intensity from the electrical grid. The framework aims to schedule the operation of household appliances at optimal times, while simultaneously accounting for user requirements and comfort.

A key feature of the proposed framework is its consideration of both the volume of electricity consumed and its environmental impact. It achieves this by scheduling deferrable loads based on future projections of energy demand and carbon emissions. The study also includes rigorous testing of software reliability and verification of the control system’s responsiveness to various operational conditions.

The evaluation was conducted using the OMNeT++ simulation environment. The results demonstrate improvements in both energy consumption and carbon emissions compared to the benchmark strategies analyzed, all while maintaining user comfort and ensuring efficient execution of scheduling decisions. The study provides a research foundation for the development of home energy management systems, with the expectation that its assessment will be further complemented by practical applications.

The research was prepared by Ali Raad Abdul-Karim, Mustafa Musa Qasim, Murtada Al-Maliki, Mahmoud Al-Shuraida, Mohammad Amin Al-Maayta, and Rami Shihab, alongside Dr. Hisham Latif Swadi. This collaborative effort involved researchers from the University of Basrah, the Basrah University of Oil and Gas, the Southern Technical University, Al-Ain University, Al-Farqadeen University College, the University of Jordan, and King Faisal University, as indicated by the affiliations noted in the study.

This work is part of a research collaboration spanning the fields of engineering and computer science, aimed at developing smart home applications, promoting efficient energy use, and reducing environm

https://doi.org/10.47852/bonviewJDSIS620210310