Implementation of Edge Computing IoT-based Database Management System for Renewable Energy Management in Indonesia
DOI:
https://doi.org/10.58812/wsist.v1i02.480Keywords:
Edge Computing, IoT, Database Management System, Renewable Energy Management, IndonesiaAbstract
The implementation of an IoT Smart Computing-based Database Management System (DBMS) for renewable energy management in Indonesia represents a pivotal step toward sustainable energy practices. This research conducted a comprehensive analysis using both descriptive and inferential statistics based on data collected from 100 renewable energy sources. The results revealed a mean energy production of 500 kWh, coupled with a high mean reliability index of 0.92, indicating a stable and consistent energy supply. Regression analysis highlighted a positive correlation between sunlight exposure and energy production, emphasizing the need for adaptive strategies in harnessing varying climatic conditions. Hypothesis testing confirmed the significant improvement in energy management metrics compared to traditional systems (p < 0.001). The findings provide valuable insights for optimizing renewable energy utilization and offer practical recommendations for stakeholders involved in Indonesia's renewable energy landscape.
References
F. I. Pasaribu, C. I. Cahyadi, R. Mujiono, and S. Suwarno, “Analysis of the Effect of Economic, Population, and Energy Growth, as well as the Influence on Sustainable Energy Development in Indonesia,” Int. J. Energy Econ. Policy, vol. 13, no. 1, p. 510, 2023.
C. H. B. Apribowo, S. P. Hadi, and F. D. Wijaya, “Integration of Battery Energy Storage System to Increase Flexibility and Penetration Renewable Energy in Indonesia: A Brief Review,” in 2022 5th International Conference on Power Engineering and Renewable Energy (ICPERE), IEEE, 2022, pp. 1–6.
M. Pandey, D. Gusain, and S. Sharma, “Role of renewable energy in attaining sustainable development,” in Artificial Intelligence for Renewable Energy Systems, Elsevier, 2022, pp. 69–79.
P. Paiboonsin, “Pathways to clean energy transition in Indonesia’s electricity sector with OSeMOSYS modelling (Open-Source Energy Modelling System),” 2023.
A. Ghasemi, A. Shojaeighadikolaei, and M. Hashemi, “Combating Uncertainties in Wind and Distributed PV Energy Sources Using Integrated Reinforcement Learning and Time-Series Forecasting,” arXiv Prepr. arXiv2302.14094, 2023.
M. C. Das, S. C. Swain, C. K. Nayak, and R. Dash, “Energy Management for a RES-Powered DC Microgrid Under Variable Load,” in 2023 International Conference on Power Electronics and Energy (ICPEE), IEEE, 2023, pp. 1–6.
Z. Li, S. Bahramirad, A. Paaso, M. Yan, and M. Shahidehpour, “Blockchain for decentralized transactive energy management system in networked microgrids,” Electr. J., vol. 32, no. 4, pp. 58–72, 2019.
T. Testasecca, M. Lazzaro, E. Sarmas, and S. Stamatopoulos, “Recent advances on data-driven services for smart energy systems optimization and pro-active management,” in 2023 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv), IEEE, 2023, pp. 146–151.
M. B. Frasetyo, F. D. Wijaya, and H. R. Ali, “Islanded wind farm microgrid stability control using synchronverter algorithm,” IEEJ J. Ind. Appl., vol. 12, no. 4, pp. 603–612, 2023.
G. Widhiyoga, H. Wijayati, and R. Alma’unah, “Export Performance Of Indonesia’s Leading Tropical Fruit Commodities To Main Destination Countries,” IQTISHADUNA J. Ilm. Ekon. Kita, vol. 12, no. 1, pp. 128–148, 2023.
D. Prabowo, “THE PARADIGM OF SOCIAL DEFINITION IN THE PHENOMENON OF OPIUM PLAYING ONLINE GAMES BY YOUNG CHILDREN,” 2023.
C.-N. Wang, Y.-C. Chung, F. D. Wibowo, T.-T. Dang, and N.-A.-T. Nguyen, “Site Selection of Solar Power Plants Using Hybrid MCDM Models: A Case Study in Indonesia,” Energies, vol. 16, no. 10, p. 4042, 2023.
A. Kasharjanto, C. S. J. Mintarso, E. M. Suyanto, and D. Rahuna, “Study of Supply Chain Management of Industrial Plan Manufacturing Development of Marine Power Turbine in Indonesia,” in IOP Conference Series: Earth and Environmental Science, IOP Publishing, 2023, p. 12018.
A. Meydani, A. Meidani, and S. Shahablavasani, “Implementation of the Internet of Things Technology in the Smart Power Grid,” in 2023 10th Iranian Conference on Renewable Energy & Distributed Generation (ICREDG), IEEE, 2023, pp. 1–8.
A. Jamoos, “Low Earth Orbit Satellite Communications for Internet-of-Things Applications,” Al-Quds J. Nat. Sci., vol. 1, no. 3, p. 3, 2023.
D. Gupta and P. Kulkarni, “Internet of Things (IOT) Driven Digital Transformation in BFSI Sector,” in 2023 Somaiya International Conference on Technology and Information Management (SICTIM), IEEE, 2023, pp. 55–58.
S. Chen, L. Huang, Y. Pan, Y. Hu, D. Shen, and J. Dai, “Decision tree-based prediction approach for improving stable energy management in smart grids,” J. High Speed Networks, no. Preprint, pp. 1–11, 2023.
M. Nikpour, P. B. Yousefi, H. Jafarzadeh, K. Danesh, and M. Ahmadi, “Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems,” arXiv Prepr. arXiv2306.05567, 2023.
Z. N. Haitaamar, B. Ramachandran, and J. V Karunamurthy, “Design, Development, and Implementation of Internet of Things Enabled Laboratory,” in 2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD), IEEE, 2023, pp. 1–5.
L. Ward et al., “Cloud services enable efficient ai-guided simulation workflows across heterogeneous resources,” arXiv Prepr. arXiv2303.08803, 2023.
H. H. Nguyen, Y. Zhou, K. Kushagra, and X. Qin, “Computation offloading from edge to equipment for smart manufacturing,” in 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC), IEEE, 2022, pp. 207–212.
G. Gielen, “Neuromorphic computing in the edge: merging cyber and physical,” in 2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI), IEEE, 2023, p. 286.
M. Jain and P. Arjunan, “FATEsys 2022: the second ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems,” in Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2022, pp. 307–309.
P. Chopra and M. Gupta, “Fuzzy Logic and ANN in an Artificial Intelligent Cloud: A Comparative Study,” in Intelligent Communication Technologies and Virtual Mobile Networks, Springer, 2023, pp. 559–570.
G. Murugan and S. Vijayarajan, “IoT based secured data monitoring system for renewable energy fed micro grid system,” Sustain. Energy Technol. Assessments, vol. 57, p. 103244, 2023.
I. Miro-Panades et al., “SamurAI: A Versatile IoT Node With Event-Driven Wake-Up and Embedded ML Acceleration,” IEEE J. Solid-State Circuits, 2022.
W. Wang, L. Qiu, J. Yao, Z. Li, and J. Shi, “Enhanced Lyapunov Optimization of MEC Offload for Energy Harvesting Devices,” in 2023 IEEE 6th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), IEEE, 2023, pp. 217–222.
Z. N. Absardi and R. Javidan, “A QoS-Aware Traffic Management Policy for IoT-enabled Smart City Applications based on Edge Cloud Computing,” in 2022 Sixth International Conference on Smart Cities, Internet of Things and Applications (SCIoT), IEEE, 2022, pp. 1–7.
M. Gali and A. Mahamkali, “A Distributed Deep Meta Learning based Task Offloading Framework for Smart City Internet of Things with Edge-Cloud Computing,” J. Internet Serv. Inf. Secur., vol. 12, no. 4, pp. 224–237, 2022.
N. J. Forsdick et al., “Journeying towards best practice data management in biodiversity genomics,” Mol. Ecol. Resour., 2023.
W. zu Castell et al., “Towards an interoperable digital ecosystem in Earth System Science research,” in EGU General Assembly Conference Abstracts, 2023, p. EGU-14605.
R. S. M. de Santana, “MODELAGEM DE DADOS EM DATA WAREHOUSES MODERNOS COMPARAÇÃO ENTRE MODELOS NO CONTEXTO NAS NOVAS PLATAFORMAS ANALÍTICAS,” 2023.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Widyatmoko Widyatmoko, Salfin Salfin, Nanny Mayasari, Hanifah Nurul Muthmainah
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Facebook 
Instagram 
Twitter 
Youtube 
+62 821 1557 5700
westscience.journals@gmail.com