Using IoT and Machine Learning for Enhanced Home Energy Management in Somalia
| International Journal of Electrical and Electronics Engineering |
| © 2024 by SSRG - IJEEE Journal |
| Volume 11 Issue 6 |
| Year of Publication : 2024 |
| Authors : Ubaid Mohamed Dahir, Abdirahman Osman Hashi, Abdullahi Ahmed Abdirahman, Mohamed Abdirahman Elmi, Octavio Ernest Romo Rodriguez |
10.14445/23488379/IJEEE-V11I6P112
How to Cite?
Ubaid Mohamed Dahir, Abdirahman Osman Hashi, Abdullahi Ahmed Abdirahman, Mohamed Abdirahman Elmi, Octavio Ernest Romo Rodriguez, "Using IoT and Machine Learning for Enhanced Home Energy Management in Somalia," SSRG International Journal of Electrical and Electronics Engineering, vol. 11, no. 6, pp. 108-116, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I6P112
Abstract:
This paper presents a novel approach to home energy management in Somalia by integrating Internet of Things (IoT) technology with machine learning algorithms to optimize energy consumption in residential settings. The proposed system, Optimizing Home Energy Management in Somalia with IoT Technology, utilizes real-time data analytics to manage the operation of home appliances efficiently. By leveraging data on electricity price fluctuations and renewable energy availability, the system intelligently determines the most cost-effective and sustainable energy sources to utilize at any given time. It provides recommendations on which appliances to operate or turn off to minimize energy use and costs. The methodology involves the deployment of IoT sensors and devices across various home appliances to monitor and control energy consumption dynamically. Machine learning algorithms analyze patterns in energy usage and predict future trends to optimize the scheduling of appliance operations, thus enhancing energy efficiency and reducing dependency on non-renewable energy sources. The study’s findings demonstrate significant improvements in energy management, highlighting reductions in energy consumption and costs and contributing to environmental sustainability. This research contributes to the growing field of smart energy solutions in developing countries, offering a scalable model that can be adapted to different regional settings beyond Somalia.
Keywords:
Home energy management, Renewable energy, Energy efficiency, Machine Learning, Internet of Things.
References:
[1] A.R. Al-Ali et al., “A Smart Home Energy Management System Using IoT and Big Data Analytics Approach,” IEEE Transactions on Consumer Electronics, vol. 63, no. 4, pp. 426-434, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Emmanuel Ampoma Affum et al., “Smart Home Energy Management System Based on the Internet of Things (IoT),” International Journal of Advanced Computer Science and Applications, vol. 12, no. 2, pp. 722-730, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Heliasadat Hosseinian, and Hamidreza Damghani, “Smart Home Energy Management, Using IoT System,” 2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI), Tehran, Iran, pp. 905-910, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Junyon Kim, “HEMS (Home Energy Management System) Base on the IoT Smart Home,” Contemporary Engineering Sciences, vol. 9, no. 1, pp. 21-28, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Jongbae Kim et al., “An IoT-Based Home Energy Management System over Dynamic Home Area Networks,” International Journal of Distributed Sensor Networks, vol. 11, no. 10, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Boulkamh Chouaib, Derdouri Lakhdar, and Zendaoui Lokmane, “Smart Home Energy Management System Architecture Using IoT,” Proceedings of the 9th International Conference on Information Systems and Technologies, pp. 1-5, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Xiuwang Wang, Xinna Mao, and Hossein Khodaei, “A Multi-Objective Home Energy Management System Based on Internet of Things and Optimization Algorithms,” Journal of Building Engineering, vol. 33, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Nicholas Liew Long Guang, Thillainathan Logenthiran, and Khalid Abidi, “Application of Internet of Things (IoT) for Home Energy Management,” 2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Bangalore, India, pp. 1-6, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Mulham B. Soudan et al., “Smart Home Energy Management System: An Exploration of IoT Use Cases,” 2018 Advances in Science and Engineering Technology International Conferences (ASET), Abu Dhabi, UAE, pp. 1-5, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[10] R. Ramadan et al., “Intelligent Home Energy Management Using Internet of Things Platform Based on NILM Technique,” Sustainable Energy, Grids and Networks, vol. 31, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Olayinka S. Omole, David Akpobasah, and Aderemi A. Atayero, “Development of a Smart, Low-Cost and IoT-Enabled System for Energy Management,” 3rd International Conference on African Development Issues (CU-ICADI), pp. 401-406, 2016.
[Google Scholar] [Publisher Link]
[12] Rabiat Ohunene Abdulaziz, “Modelling an Artificial Intelligence-Based Energy Management for House/Mini-Grid in Sub-Saharan Africa: A Case Study of Nigeria,” Master’s Thesis, Pan African University Institute of Water and Energy Sciences, 2020.
[Google Scholar] [Publisher Link]
[13] Nkosinathi Madushele, and Pavel Tabakov, “A Survey of Home Energy Management Systems and their Efficacy in South Africa,” 2024 Conference on Information Communications Technology and Society (ICTAS), Durban, South Africa, pp. 209-213, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Rabiat Ohunene Ibrahim et al., “Modelling an Artificial Intelligence-Based Energy Management for Household in Nigeria,” Engineering Letters, vol. 30, no. 1, pp. 1-12, 2022.
[Google Scholar] [Publisher Link]
[15] Mustapha Hafiz Bola, E.N. Onwuka, and Suleiman Zubair, “An Efficient Energy Management in Buildings Using IoT-A Survey,” 2019 15th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, pp. 1-6, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Mordekai Khosa et al., “Household Energy Management by Efficient Use of Smart Geyser,” 2020 6th IEEE International Energy Conference (ENERGYCon), Gammarth, Tunisia, pp. 226-230, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Progress Mtshali, and Freedom Khubia, “A Smart Home Energy Management System Using Smart Plugs,” 2019 Conference on Information Communications Technology and Society (ICTAS), Durban, South Africa, pp. 1-5, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Kelvin Bradfield, and Chris Allen, “User Perceptions of and Needs for Smart Home Technology in South Africa,” Advances in Informatics and Computing in Civil and Construction Engineering, pp. 255-262, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Maryleen Ndubuaku, and David Okereafor, “Internet of Things for Africa: Challenges and Opportunities,” 2015 International Conference on Cyberspace Governance-CYBERABUJA2015, vol. 9, pp. 23-31, 2015.
[Google Scholar]
[20] Trust-more Muusha, and Tebello N.D. Mathaba, “Design Considerations for Implementing a Home Energy Management System,” 2021 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), Durban, South Africa, pp. 1-6, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Md. Tanvir Ahammed, and Imran Khan, “Ensuring Power Quality and Demand-Side Management through IoT-Based Smart Meters in a Developing Country,” Energy, vol. 250, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Simon Karanja, and R.A. Badru, “Development of a Low Cost Wireless Sensor Network for Surveillance along Kenya-Somalia Border,” Preprints.org, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[23] K. Habibul Kabir, Shafquat Yasar Aurko, and Md. Saifur Rahman, “Smart Power Management in OIC Countries: A Critical Overview Using SWOT-AHP and Hybrid MCDM Analysis,” Energies, vol. 14, no. 20, pp. 1-50, 2021.
[CrossRef] [Google Scholar] [Publisher Link]