Smart Grids: Integrating AI for Efficient Renewable Energy Utilization
DOI:
https://doi.org/10.33050/italic.v3i1.644Keywords:
Smart Grids, Artificial Intelligence (AI), Renewable Energy Utilization, Machine Learning, Energy EfficiencyAbstract
The urgent global shift from fossil fuels to renewable energy sources necessitates innovative solutions to address energy system management challenges. Smart grids, equipped with sophisticated infrastructures, play a crucial role in this transition. This study integrates Artificial Intelligence (AI) into smart grids to enhance their efficiency and reliability, directly supporting the United Nations Sustainable Development Goals (SDGs), particularly SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 11 (Sustainable Cities and Communities). Employing a mixed-methods approach, the research utilizes historical and real-time data, applying machine learning algorithms such as Linear Regression, Support Vector Regression (SVR), Recurrent Neural Networks (RNN), and Long ShortxTerm Memory (LSTM) for predictive accuracy in energy management. Optimization techniques like Genetic Algorithms and Particle Swarm Optimization (PSO) are also implemented for resource scheduling and grid balancing. The results demonstrate significant improvements, with an 11.76% increase in energy efficiency and grid stability, a 66.67% reduction in prediction errors, and a 20% decrease in operational costs compared to conventional systems. These enhancements highlight the transformative potential of AI in smart grids, promoting more efficient and sustainable energy utilization. The study concludes that AI-driven smart grids are pivotal in achieving the SDGs by providing scalable and efficient solutions for renewable energy integration, thereby fostering sustainable development and reducing environmental impacts.
References
I. Sembiring, D. Manongga, U. Rahardja, and Q. Aini, “Understanding data-driven analytic decision making on air quality monitoring an empirical study,” Aptisi Transactions on Technopreneurship (ATT), vol. 6, no. 3, pp. 418–431, 2024.
J. J. Moreno Escobar, O. Morales Matamoros, R. Tejeida Padilla, I. Lina Reyes, and H. Quintana Espinosa, “A comprehensive review on smart grids: Challenges and opportunities,” Sensors, vol. 21, no. 21, p. 6978, 2021.
S. Purnama and C. S. Bangun, “Strategic management insights into housewives consumptive shopping behavior in the post covid-19 landscape,” APTISI Transactions on Management, vol. 8, no. 1, pp. 71–79, 2024.
C. Lamnatou, D. Chemisana, and C. Cristofari, “Smart grids and smart technologies in relation to photovoltaics, storage systems, buildings and the environment,” Renewable Energy, vol. 185, pp. 1376–1391, 2022.
M. Irawan and Z. A. Tyas, “Desain asset game android komodo isle berbasis 2 dimensi,” ADI Bisnis Digital Interdisiplin Jurnal, vol. 5, no. 1, pp. 58–66, 2024.
D. Fan, Y. Ren, Q. Feng, Y. Liu, Z. Wang, and J. Lin, “Restoration of smart grids: Current status, challenges, and opportunities,” Renewable and Sustainable Energy Reviews, vol. 143, p. 110909, 2021.
H. Y. N. Heri, “The effect of fragmentation as a moderation on the relationship between supply chain management and project performance,” ADI Journal on Recent Innovation, vol. 6, no. 1, pp. 54–64, 2024.
I. Colak, R. Bayindir, and S. Sagiroglu, “The effects of the smart grid system on the national grids,” in 2020 8th International Conference on Smart Grid (icSmartGrid). IEEE, 2020, pp. 122–126.
F. S. Putri, H. R. Ngemba, S. Hendra, and W. Wirdayanti, “Sistem layanan ujian psikotes sim menggunakan computer based test berbasis website: Sim psychological test service system using computer based test based on website,” Technomedia Journal, vol. 9, no. 1, pp. 92–104, 2024.
A. Goudarzi, F. Ghayoor, M. Waseem, S. Fahad, and I. Traore, “A survey on iot-enabled smart grids: emerging, applications, challenges, and outlook,” Energies, vol. 15, no. 19, p. 6984, 2022.
M. R. Anwar and L. D. Sakti, “Integrating artificial intelligence and environmental science for sustainable urban planning,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 5, no. 2, pp. 179–191, 2024.
I. Alotaibi, M. A. Abido, M. Khalid, and A. V. Savkin, “A comprehensive review of recent advances in smart grids: A sustainable future with renewable energy resources,” Energies, vol. 13, no. 23, p. 6269, 2020.
V. Petrov, X. Dubois et al., “Transformasi sosial: Perubahan kehidupan masyarakat melalui penyebaran jaringan komputer,” ADI Pengabdian Kepada Masyarakat, vol. 4, no. 2, pp. 50–56, 2024.
A. Kwilinski, O. Lyulyov, H. Dzwigol, I. Vakulenko, and T. Pimonenko, “Integrative smart grids’ assessment system,” Energies, vol. 15, no. 2, p. 545, 2022.
A. Leffia, S. A. Anjani, M. Hardini, S. V. Sihotang, and Q. Aini, “Corporate strategies to improve platform economic performance: The role of technology, ethics, and investment management,” CORISINTA, vol. 1, no. 1, pp. 16–25, 2024.
O. Lyulyov, I. Vakulenko, T. Pimonenko, A. Kwilinski, H. Dzwigol, and M. Dzwigol-Barosz, “Comprehensive assessment of smart grids: Is there a universal approach?” Energies, vol. 14, no. 12, p. 3497, 2021.
A. G. Prawiyogi, A. S. Anwar et al., “Perkembangan internet of things (iot) pada sektor energi: Sistematik literatur review,” Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi, vol. 1, no. 2, pp. 187–197, 2023.
D. Ghelani, “Cyber security in smart grids, threats, and possible solutions,” Authorea Preprints, 2022.
Z. Kedah, “Use of e-commerce in the world of business,” Startupreneur Business Digital (SABDA Journal), vol. 2, no. 1, pp. 51–60, 2023.
U. Bhadani, “Smart grids: A cyber–physical systems perspective,” International Research Journal of Engineering and Technology (IRJET), vol. 11, no. 06, p. 801, 2024.
V. Melinda, T. Williams, J. Anderson, J. G. Davies, and C. Davis, “Enhancing waste-to-energy conversion efficiency and sustainability through advanced artificial intelligence integration,” International Transactions on Education Technology (ITEE), vol. 2, no. 2, pp. 183–192, 2024.
M. Ghiasi, Z. Wang, M. Mehrandezh, S. Jalilian, and N. Ghadimi, “Evolution of smart grids towards the internet of energy: Concept and essential components for deep decarbonisation,” IET Smart Grid, vol. 6, no. 1, pp. 86–102, 2023.
M. Pereira, I. Guvlor et al., “Implementation of artificial intelligence framework to enhance human resources competency in indonesia,” International Journal of Cyber and IT Service Management, vol. 4, no. 1, pp. 64–70, 2024.
O. A. Omitaomu and H. Niu, “Artificial intelligence techniques in smart grid: A survey,” Smart Cities, vol. 4, no. 2, pp. 548–568, 2021.
K. Myers and C. R. Hinman, “The impact of cryptocurrency on the indonesian community’s economy,” Blockchain Frontier Technology, vol. 3, no. 1, pp. 74–79, 2023.
S. M. Putri and D. Maizana, “Optimal smart grid management system in campus building,” Jurnal Nasional Teknik Elektro, pp. 139–143, 2020.
I. Erliyani, K. Yuliana, H. Kusumah, and N. Aziz, “Metode pembelajaran dalam memberikan pendidikan agama islam pada usia dini industri 4.0,” Alfabet Jurnal Wawasan Agama Risalah Islamiah, Teknologi dan Sosial, vol. 1, no. 1, pp. 96–105, 2021.
Z. Shi, W. Yao, Z. Li, L. Zeng, Y. Zhao, R. Zhang, Y. Tang, and J. Wen, “Artificial intelligence techniques for stability analysis and control in smart grids: Methodologies, applications, challenges and future directions,” Applied Energy, vol. 278, p. 115733, 2020.
U. Rusilowati, H. R. Ngemba, R. W. Anugrah, A. Fitriani, and E. D. Astuti, “Leveraging ai for superior efficiency in energy use and development of renewable resources such as solar energy, wind, and bioenergy,” International Transactions on Artificial Intelligence, vol. 2, no. 2, pp. 114–120, 2024.
O. P. Mahela, M. Khosravy, N. Gupta, B. Khan, H. H. Alhelou, R. Mahla, N. Patel, and P. Siano, “Comprehensive overview of multi-agent systems for controlling smart grids,” CSEE Journal of Power and Energy Systems, vol. 8, no. 1, pp. 115–131, 2020.
N. Mostafa, H. S. M. Ramadan, and O. Elfarouk, “Renewable energy management in smart grids by using big data analytics and machine learning,” Machine Learning with Applications, vol. 9, p. 100363, 2022.
D. Faquir, N. Chouliaras, V. Sofia, K. Olga, and L. Maglaras, “Cybersecurity in smart grids, challenges and solutions,” AIMS Electronics and Electrical Engineering, vol. 5, no. 1, pp. 24–37, 2021.
M. A. Judge, A. Khan, A. Manzoor, and H. A. Khattak, “Overview of smart grid implementation: Frameworks, impact, performance and challenges,” Journal of Energy Storage, vol. 49, p. 104056, 2022.
U. Bhadani, “Pillars of power system and security of smart grid,” International Journal of Innovative Research in Science Engineering and Technology, vol. 13, no. 13888, pp. 10–15 680, 2024.
D. Maizana and S. M. Putri, “Appropriateness analysis of implementing a smart grid system in campus buildings using the fuzzy method,” International Journal of Power Electronics and Drive Systems, vol. 13, no. 2, p. 873, 2022.
T. Ahmad, R. Madonski, D. Zhang, C. Huang, and A. Mujeeb, “Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm,” Renewable and Sustainable Energy Reviews, vol. 160, p. 112128, 2022.
Y. Li and J. Yan, “Cybersecurity of smart inverters in the smart grid: A survey,” IEEE Transactions on Power Electronics, vol. 38, no. 2, pp. 2364–2383, 2022.
O. M. Butt, M. Zulqarnain, and T. M. Butt, “Recent advancement in smart grid technology: Future prospects in the electrical power network,” Ain Shams Engineering Journal, vol. 12, no. 1, pp. 687–695, 2021.
M. Jafari, A. Kavousi-Fard, T. Chen, and M. Karimi, “A review on digital twin technology in smart grid, transportation system and smart city: Challenges and future,” IEEE Access, vol. 11, pp. 17 471–17 484, 2023.
F. Ayadi, I. Colak, I. Garip, and H. I. Bulbul, “Impacts of renewable energy resources in smart grid,” in 2020 8th International Conference on Smart Grid (icSmartGrid). IEEE, 2020, pp. 183–188.
J. Taylor, V. El Ardeliya, and J. Wolfson, “Exploration of artificial intelligence in creative fields: Generative art, music, and design,” International Journal of Cyber and IT Service Management, vol. 4, no. 1, pp. 39–45, 2024.
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