Original Article

Smart Energy Management Systems: The Perspective of Artificial Intelligence, SDG and Developing Countries for Good Governance: A Review

Year: 2026 | Month: June | Volume 14 | Issue 1

References (61)

1.African Development Bank, 2022. Microgrid development in Africa: Progress and challenges, African Development Bank.

View at Google Scholar

2.Aguilar, J., Garces-Jimenez, A., R-moreno, M.D. and García, R. 2021. A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings. Renewable and Sustainable Energy Reviews, 151: 111530.

View at Google Scholar

3.Alahi, M.E.E., Sukkuea, A., Tina, F.W., Nag, A., Kurdthongmee, W., Suwannarat, K. and Mukhopadhyay, S.C. 2023. Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends, Sensors, 23(11): 5206-5242.

View at Google Scholar

4.Ali, A.O., Elmarghany, M.R., Abdelsalam, M.M., Sabry, M.N. and Hamed, A.M. 2022. Closed-loop home energy management system with renewable energy sources in a smart grid: A comprehensive review, Journal of Energy Storage, 50: 104609.

View at Google Scholar

5.Ali, D.M.T.E., Motuzien?, V. and Džiugait?-Tum?nien?, R. 2024. AI-driven innovations in building energy management systems: A review of potential applications and energy savings, Energies, 17(17): 4277.

View at Google Scholar

6.Alijoyo, F.A. 2024. AI-powered deep learning for sustainable industry 4.0 and internet of things: Enhancing energy management in smart buildings, Alexandria Engineering Journal, 104: 409-422.

View at Google Scholar

7.Andoni, M., Robu, V., Flynn, D., Abram, S., Geach, D., Jenkins, D., ... & Peacock, A. 2019. Blockchain technology in the energy sector: A systematic review of challenges and opportunities. Renewable and Sustainable Energy Reviews, 100: 143-174.

View at Google Scholar

8.Andoni, M. and Robu, V. 2016. Using Stackelberg games to model electric power grid investments in renewable energy settings. In International Conference on Autonomous Agents and Multiagent Systems (pp. 127-146). Cham: Springer International Publishing.

View at Google Scholar

9.Awogbemi, O., Von Kallon, D.V. and Kumar, K.S. 2024. Contributions of artificial intelligence and digitization in achieving clean and affordable energy, Intelligent Systems with Applications, pp. 200389.

View at Google Scholar

10.Bajwa, A., Jahan, F., Ahmed, I. and Siddiqui, N.A. 2024. A Systematic Literature Review On AI-Enabled Smart Building Management Systems For Energy Efficiency And Sustainability, American Journal of Scholarly Research and Innovation, 3(02): 01-27.

View at Google Scholar

11.Bedi, P., Goyal, S.B., Rajawat, A.S., Shaw, R.N. and Ghosh, A. 2022. Application of AI/IoT for smart renewable energy management in smart cities, AI and IoT for smart city applications, pp. 115-138.

View at Google Scholar

12.Cheng, L. and Yu, T. 2019. A new generation of AI: A review and perspective on machine learning technologies applied to smart energy and electric power systems, International Journal of Energy Research, 43(6): 1928-1973.

View at Google Scholar

13.Colla, V., Pietrosanti, C., Malfa, E. and Peters, K. 2020. Environment 4.0: How digitalization and machine learning can improve the environmental footprint of the steel production processes, Matériaux & Techniques, 108(5-6): (2020) 507.

View at Google Scholar

14.European Commission, Smart grids and energy transition in the EU. 2023. Retrieved from https:// ec.europa.eu

View at Google Scholar

15.Fallah, S.N., Deo, R.C., Shojafar, M., Conti, M. and Shamshirband, S. 2018. Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions, Energies, 11(3): 596.

View at Google Scholar

16.Fan, Z., Yan, Z. and Wen, S. 2023. Deep learning and artificial intelligence in sustainability: a review of SDGs, renewable energy, and environmental health, Sustainability, 15(18): 13493.

View at Google Scholar

17.Fang, X., Misra, S., Xue, G. and Yang, D. 2021. Smart grid—The new and improved power grid: A survey, IEEE Communications Surveys & Tutorials, 14(4): 944–980.

View at Google Scholar

18.Farhangi, H. 2016. The path of the smart grid. IEEE Power and Energy Magazine, 8(1): 18–28.

View at Google Scholar

19.Fraunhofer, I.S.E. 2022. Renewable energy villages in Germany. https://www.ise.fraunhofer.de

View at Google Scholar

20.Gellings, C.W. 2020. The smart grid: Enabling energy efficiency and demand response. CRC Press.

View at Google Scholar

21.Gielen, D., Boshell, F., Saygin, D., Bazilian, M.D., Wagner, N. and Gorini, R. 2019. The role of renewable energy in the global energy transformation. Energy Strategy Reviews, 24: 38–50.

View at Google Scholar

22.Huseien, G.F. and Shah, K.W. 2022. A review on 5G technology for smart energy management and smart buildings in Singapore, Energy and AI, 7: 100116.

View at Google Scholar

23.International Energy Agency. 2023. Net Zero by 2050: A roadmap for the global energy sector. https:// www.iea.org/reports/net-zero-by-2050

View at Google Scholar

24.International Energy Agency. 2023. World Energy Outlook 2023. https://www.iea.org/reports/worldenergy- outlook-2023

View at Google Scholar

25.IRENA. 2022. Innovation outlook: Smart energy systems. International Renewable Energy Agency.

View at Google Scholar

26.Joao Pedro Ferreira dos Santos, Celso Augusto de Matos, Aleš Groznik, 2025. The role of artificial intelligence in smart city systems usage: drivers, barriers, and behavioural outcomes, Technology in Society, 81(1): 102867-102880.

View at Google Scholar

27.Khalid, M. 2024. Energy 4.0: AI-enabled digital transformation for sustainable power networks, Computers & Industrial Engineering, 193: 110253.

View at Google Scholar

28.Khan, M.A. and Arsalan, M.H. 2021. Smart grids: A path towards sustainable energy management, Journal of Renewable Energy Research, 11(2): 436–450.

View at Google Scholar

29.Kumar, A., Alaraj, M., Rizwan, M. and Nangia, U. 2021. Novel AI based energy management system for smart grid with RES integration, IEEE Access, 9: 162530-162542.

View at Google Scholar

30.Lund, H., Möller, B., Mathiesen, B.V. and Dyrelund, A. 2022. Smart energy systems for 100% renewable energy, Applied Energy, 306: 117997.

View at Google Scholar

31.Lund, H., Østergaard, P.A., Connolly, D. and Mathiesen, B.V. 2022. Smart energy systems and 4th generation district heating, Energy, 110: 1–14.

View at Google Scholar

32.Arun, M., Gokul Gopan, Savithiri Vembu, Dilber Uzun Ozsahin, Hijaz Ahmad, Maged F. Alotaibi, 2024. Internet of things and deep learning-enhanced monitoring for energy efficiency in older buildings, Case Studies in Thermal Engineering, 61(1): 104867.

View at Google Scholar

33.Ma, Y., Chen, X., Wang, L. and Yang, J. 2021. Study on smart home energy management system based on artificial intelligence, Journal of Sensors, 1: 9101453.

View at Google Scholar

34.Mengelkamp, E., Gärttner, J., Rock, K., Kessler, S., Orsini, L. and Weinhardt, C. 2023. Designing microgrid energy markets: A case study of the Brooklyn Microgrid, Applied Energy, 210: 870–880.

View at Google Scholar

35.Mischos, S., Dalagdi, E. and Vrakas, D. 2023. Intelligent energy management systems: a review, Artificial Intelligence Review, 56(10): 11635-11674.

View at Google Scholar

36.Mishra, P. and Singh, G. 2023. Energy management systems in sustainable smart cities based on the internet of energy: A technical review, Energies, 16(19): 6903.

View at Google Scholar

37.Obaideen, K., Albasha, L., Iqbal, U. and Mir, H. 2024. Wireless power transfer: Applications, challenges, barriers, and the role of AI in achieving sustainable development goals-A bibliometric analysis, Energy Strategy Reviews, 53: 101376.

View at Google Scholar

38.Okpala, B.C. and Nzeanorue, C.C. 2024. Smart Energy Management in Nigeria: Implementing IoT and AI for Sustainable Urban Development, Path of Science, 10(10): 2012-2020.

View at Google Scholar

39.Parvin, K., Lipu, M.H., Hannan, M.A., Abdullah, M.A., Jern, K.P., Begum, R.A. ... and Dong, Z.Y. 2021. Intelligent controllers and optimization algorithms for building energy management towards achieving sustainable development: challenges and prospects, IEEE Access, 9: 41577-41602.

View at Google Scholar

40.Paul, P.K. 2022. Environmental informatics: basics, nature, and applications using emerging technologies with reference to issues and potentialities, Environmental Informatics: Challenges and Solutions. pp. 1-13. Singapore: Springer Nature Singapore.

View at Google Scholar

41.Paul, P.K., Aithal, P.S., Bhuimali, A. and Kalishankar, T. 2020. Environmental informatics vis-à-vis big data analytics: the geo-spatial & sustainable solutions, International Journal of Applied Engineering and Management Letters, 4(2): 31-40.

View at Google Scholar

42.Pigola, A., Da Costa, P.R., Carvalho, L.C., Silva, L.F.D., Kniess, C.T. and Maccari, E.A. 2021. Artificial intelligence-driven digital technologies to the implementation of the sustainable development goals: A perspective from Brazil and Portugal, Sustainability, 13(24): 13669.

View at Google Scholar

43.Pitchai Pandiyan, Subramanian Saravanan, Kothandaraman Usha, Raju Kannadasan, Mohammed H. Alsharif, Mun-Kyeom Kim, 2023. Technological advancements toward smart energy management in smart cities, Energy Reports, 10(1): 648-677.

View at Google Scholar

44.Qiang Wang, Yuanfan Li and Rongrong Li. 2025. Integrating artificial intelligence in energy transition: A comprehensive review, Energy Strategy Reviews, 57(1): 101600-101640.

View at Google Scholar

45.Rathor, S.K. and Saxena, D. 2020. Energy management system for smart grid: An overview and key issues, International Journal of Energy Research, 44(6): 4067-4109.

View at Google Scholar

46.Safari, A., Daneshvar, M. and Anvari-Moghaddam, A. 20241. Energy Intelligence: A Systematic Review of Artificial Intelligence for Energy Management, Applied Sciences, 14(23): 11112-11153.

View at Google Scholar

47.Segun-Falade, O.D., Osundare, O.S., Kedi, W.E., Okeleke, P.A., Ijomah, T.I. and Abdul-Azeez, O.Y. 2024. Developing innovative software solutions for effective energy management systems in industry. Engineering Science & Technology Journal, 5(8): 2649-2669.

View at Google Scholar

48.Selvaraj, R., Kuthadi, V.M. and Baskar, S. 2023. Smart building energy management and monitoring system based on artificial intelligence in smart city, Sustainable Energy Technologies and Assessments, 56: 103090.

View at Google Scholar

49.?erban, A.C. and Lytras, M.D. 2020. Artificial intelligence for smart renewable energy sector in europe— smart energy infrastructures for next generation smart cities. IEEE Access, 8: 77364-77377.

View at Google Scholar

50.Sharma, R. and Sinha, A. 2022. Artificial intelligence for sustainable energy management: A review, Energy Reports. 8: 2345–2360.

View at Google Scholar

51.Siano, P. 2023. Demand response and smart grids—A survey. Renewable and Sustainable Energy Reviews, 30: 461–478.

View at Google Scholar

52.Stecu?a, K., Wolniak, R. and Grebski, W.W. 2023. AI-Driven Urban Energy Solutions—From Individuals to Society: A Review, Energies, 16(24): 7988-8022.

View at Google Scholar

53.Tran, Tien Anh, Rodríguez Aguilar, Román, Munapo, Elias, Thomas, J. Joshua, Vasant, Pandian, Panchenko, Vladimir. 2023. Energy efficiency management for the industrial manufacture engineering, Next Energy, 1: 1-3.

View at Google Scholar

54.Tunde, A.H., Yusuf, S.O., Taiwo, A.I., Ocran, G., Owusu, P. and Paul-Adeleye, A.H. 2024. AI-driven innovations in energy efficiency: Transforming smart buildings and urban areas through technology and digital transformation. World Journal of Advanced Research and Reviews, 24(1): 141-152.

View at Google Scholar

55.U.S. Department of Energy (DOE), Community microgrids: A guide for policymakers, 2024. https:// www.energy.gov

View at Google Scholar

56.United Nations, Transforming our world: The 2030 Agenda for Sustainable Development, 2015. UN Publishing.

View at Google Scholar

57.United Nations, The Sustainable Development Goals Report 2023, 2023. Retrieved from https://unstats. un.org/sdgs/report/2023/

View at Google Scholar

58.World Economic Forum, The future of energy: Smart solutions for a sustainable world, 2023. Retrieved from https://www.weforum.org

View at Google Scholar

59.Zhang, X. and Grolinger, K. 2020. Energy forecasting with deep learning: A review, IEEE Access, 8: 143830–143849.

View at Google Scholar

60.Zhang, Y., Wang, J. and Li, X. 2023. Blockchain and AI-based smart energy systems: A sustainable development approach, Renewable and Sustainable Energy Reviews, 168: 112576.

View at Google Scholar

61.Zhang, Y., Wang, J. and Li, Z. 2022. AI-based energy forecasting in smart grids, Energy and AI., 8: 100123.

View at Google Scholar

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