Authors : Mofeoluwa Oyekan; Shereef Olayinka Jinadu; Joy Onma Enyejo

Volume/Issue : Volume 10 - 2025, Issue 9 - September

Google Scholar : https://tinyurl.com/43pruums

Scribd : https://tinyurl.com/5cucz475

DOI : https://doi.org/10.38124/ijisrt/25sep792

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 30 to 40 days to display the article.

Abstract : The global energy transition, driven by the urgent need to decarbonize and achieve sustainable development goals, requires a systematic approach to managing critical infrastructure and resources. Strategic Asset Management (SAM) provides a structured framework for aligning asset performance, lifecycle optimization, and financial investment with long- term sustainability objectives. By integrating digital tools such as predictive analytics, digital twins, and IoT-enabled monitoring, SAM enables organizations to maximize the reliability, efficiency, and resilience of energy assets while reducing costs and environmental impacts. This review paper examines the role of SAM in accelerating the shift toward renewable energy systems, smart grids, and low-carbon technologies. It highlights best practices for balancing risk management, asset utilization, and capital planning to ensure energy security and sustainability. Furthermore, the paper explores case studies from utilities, oil and gas firms, and renewable energy companies to demonstrate how effective asset management strategies can optimize decision-making and regulatory compliance while fostering innovation in sustainable infrastructure. The findings underscore that strategic asset management is not only a technical discipline but also a governance and policy enabler that bridges operational excellence with global climate commitments. Ultimately, adopting SAM frameworks provides a critical pathway for organizations and governments to accelerate the energy transition while ensuring resilience, affordability, and equitable access to energy.

Keywords : Strategic Asset Management (SAM); Energy Transition; Renewable Energy Systems; Digital Twin Technology; Sustainable Infrastructure

References :

1. Aikins, S. A., Avevor, J. & Enyejo, L. A. (2024). Optimizing Thermal Management in Hydrogen Fuel Cells for Smart HVAC Systems and Sustainable Building Energy Solutions. International Journal of Scientific Research and Modern Technology (IJSRMT) Volume 3, Issue 4, 2024 DOI: https://doi.org/10.38124/ijsrmt.v3i4.351
2. Ajayi, A. A., Igba, E., Soyele, A. D., & Enyejo, J. O. (2024). Enhancing Digital Identity and Financial Security in Decentralized Finance (Defi) through Zero-Knowledge Proofs (ZKPs) and Blockchain Solutions for Regulatory Compliance and Privacy. OCT 2024 |IRE Journals | Volume 8 Issue 4 | ISSN: 2456-8880
3. Ajayi, A. A., Igba, E., Soyele, A. D., & Enyejo, J. O. (2024). Quantum Cryptography and Blockchain-Based Social Media Platforms as a Dual Approach to Securing Financial Transactions in CBDCs and Combating Misinformation in U.S. Elections. International Journal of Innovative Science and Research Technology. Volume 9, Issue 10, Oct.– 2024  ISSN No:-2456-2165  https://doi.org/10.38124/ijisrt/IJISRT24OCT1697.
4. Akindotei, O., Igba E., Awotiwon, B. O., & Otakwu, A (2024). Blockchain Integration in Critical Systems Enhancing Transparency, Efficiency, and Real-Time Data Security in Agile Project Management, Decentralized Finance (DeFi), and Cold Chain Management. International Journal of Scientific Research and Modern Technology (IJSRMT) Volume 3, Issue 11, 2024. DOI: 10.38124/ijsrmt.v3i11.107.
5. Alegre, H. (2020). Public policies as strategic asset management enablers. H2Open Journal, 3(1), 428–435.
6. Amebleh, J. & Okoh, O. F. (2023). Accounting for rewards aggregators under ASC 606/IFRS 15: Performance obligations, consideration payable to customers, and automated liability accruals at payments scale. Finance & Accounting Research Journal, Fair East Publishers Volume 5, Issue 12,  528-548 DOI: 10.51594/farj.v5i12.2003
7. Amebleh, J. & Omachi, A. (2022). Data Observability for High-Throughput Payments Pipelines: SLA Design, Anomaly Budgets, and Sequential Probability Ratio Tests for Early Incident Detection International Journal of Scientific Research in Science, Engineering and Technology  Volume 9, Issue 4  576-591 doi : https://doi.org/10.32628/IJSRSET
8. Amebleh, J., & Okoh, O. F. (2023). Explainable Risk Controls for Digital Health Payments: SHAP-Constrained Gradient Boosting with Policy-Based Access, Audit Trails, and Chargeback Mitigation. International Journal of Scientific Research and Modern Technology, 2(4), 13–28. https://doi.org/10.38124/ijsrmt.v2i4.746
9. Atalor, S. I. (2019). Federated Learning Architectures for Predicting Adverse Drug Events in Oncology Without Compromising Patient Privacy ICONIC RESEARCH AND ENGINEERING JOURNALS JUN 2019 | IRE Journals | Volume 2 Issue 12 | ISSN: 2456-8880
10. Atalor, S. I., Ijiga, O. M., & Enyejo, J. O. (2023). Harnessing Quantum Molecular Simulation for Accelerated Cancer Drug Screening. International Journal of Scientific Research and Modern Technology, 2(1), 1–18. https://doi.org/10.38124/ijsrmt.v2i1.502
11. Avevor, J., Aikins, S. A., Peter-Anyebe, A. C., Enyejo, L. A.,  Eze, F. C., Adaudu, I. I. (2025).  A Digital Twin-Based Predictive Maintenance Framework for Combined-Cycle Turbines in Load-Bearing Smart Structures Supporting Energy Diplomacy. Acta Mechanica Malaysia (AMM) 8(2) (2025) 77-85.  http://doi.org/10.26480/amm.02.2025.77.85
12. Avevor, J.,  Eze, F. C., Okoh, O. F.,  Aikins, S. A.,  Enyejo, L. A.,  Adaudu, I. I. (2025). Development of a Real-Time Predictive Maintenance Model for Combined-Cycle Turbines Integrated into Structural Resilience and Economic Risk Mitigation Strategies for Critical Load-Bearing Facilities Under Extreme Climate Events. Economic Growth and Environment Sustainability (EGNES) 4(2) (2025) 56-64. http://doi.org/10.26480/egnes.02.2025.56.64
13. Azonuche, T. I., & Enyejo, J. O. (2024). Agile Transformation in Public Sector IT Projects Using Lean-Agile Change Management and Enterprise Architecture Alignment. International Journal of Scientific Research and Modern Technology, 3(8), 21–39. https://doi.org/10.38124/ijsrmt.v3i8.432
14. Azonuche, T. I., & Enyejo, J. O. (2024). Exploring AI-Powered Sprint Planning Optimization Using Machine Learning for Dynamic Backlog Prioritization and Risk Mitigation. International Journal of Scientific Research and Modern Technology, 3(8), 40–57. https://doi.org/10.38124/ijsrmt.v3i8.448.
15. Babatuyi, P. B., Imoh, P. O., Igwe, E. U. & Enyejo, J. O. (2025).The Impact of Public Health Policy on Resource Distribution and Health Equity during Epidemics in Low-Income U.S. Populations International Journal of Healthcare Sciences Vol. 13, Issue 1, DOI: https://doi.org/10.5281/zenodo.16885344
16. Baker, L., Newell, P., & Phillips, J. (2014). The political economy of energy transitions: The case of South Africa. New Political Economy, 19(6), 791–818. https://doi.org/10.1080/13563467.2013.849674
17. Barbieri, G., Vega, A. S., Gutiérrez, J., Laserna, J., & Mateus, L. M. (2023). Strategic capital investments in asset management: A value-based approach. Journal of Quantitative Methods for Economics, 11(2023), Article 0104.
18. Blanco, M. I. (2009). The economics of wind energy. Renewable and Sustainable Energy Reviews, 13(6–7), 1372–1382. https://doi.org/10.1016/j.rser.2008.09.004
19. Brisbois, M. C. (2025). Coping with decarbonisation: An inventory of strategies. Energy Research & Social Science, XX, Article ID. doi:10.1016/j.erss.2025.XXXXX
20. Brown, K. (2012). An Integrated Approach to Strategic Asset Management. (Master's thesis). Universidad Politécnica de Madrid.
21. Cherdantseva, Y., Burnap, P., Blyth, A., Eden, P., Jones, K., Soulsby, H., & Stoddart, K. (2016). A review of cyber security risk assessment methods for SCADA systems. Computers & Security, 56, 1–27. https://doi.org/10.1016/j.cose.2015.09.009
22. Cucuzzella, C., Salvia, G., & Rognoli, V. (2022). Distributed energy resources and the smart grid transition: Opportunities and challenges. Renewable and Sustainable Energy Reviews, 160, 112282. https://doi.org/10.1016/j.rser.2022.112282
23. Diaconescu, M. (2024). Towards Renewable Energy Transition: Insights from a systematic literature analysis. Energies, 17(18), 4719. doi:10.3390/en17184719
24. Dzulkifli, N. A., Sarbini, N. N., Ibrahim, I. S., Abidin, N. I., Yahaya, F. M., & Azizan, N. Z. N. (2021). Review on maintenance issues toward building maintenance management best practices. Journal of Building Engineering, 44, 102985.
25. Enyejo, J. O., Fajana, O. P., Jok, I. S., Ihejirika, C. J.,  Awotiwon,  B. O., & Olola, T. M. (2024). Digital Twin Technology, Predictive Analytics, and Sustainable Project Management in Global Supply Chains for Risk Mitigation, Optimization, and Carbon Footprint Reduction through Green Initiatives. International Journal of Innovative Science and Research Technology, Volume 9, Issue 11, November– 2024.  ISSN No:-2456-2165.   https://doi.org/10.38124/ijisrt/IJISRT24NOV1344
26. García-Gómez, F. J. (2021). An approach to sustainability risk assessment in industrial asset management. Sustainability, 13(12), 6538.
27. Gavrikova, E. (2020). Strategic aspects of asset management: An overview. Sustainability, 12(15), 5955. doi:10.3390/su12155955
    Genc, T. S. (2023). Energy Transition and the Economy: A Review Article. Energies, 16(7), 2965. doi:10.3390/en16072965
28. Gitelman, L. D. (2020). Asset management of energy company based on production asset lifecycle. WIT Transactions on Ecology and the Environment, 246, 125–135.
29. Goldthau, A., & Sovacool, B. K. (2012). The uniqueness of the energy security, justice, and governance problem. Energy Policy, 41, 232–240. https://doi.org/10.1016/j.enpol.2011.10.042
30. Guides, (2024). The business case for renewable energy https://instituteofsustainabilitystudies.com/insights/guides/the-business-case-for-renewable-energy/
31. Hast, A., Syri, S., Lekavičius, V., & Galinis, A. (2018). District heating in cities as a part of low-carbon energy system. Energy, 152, 627–639. https://doi.org/10.1016/j.energy.2018.03.156
32. Hübel, B., & Scholz, H. (2020). Integrating sustainability risks in asset management: The role of ESG exposures and ESG ratings. Journal of Asset Management, 21(1), 52–69.
33. Idika, C. N. (2023). Quantum Resistant Cryptographic Protocols for Securing Autonomous Vehicle to Vehicle (V2V) Communication Networks International Journal of Scientific Research in Computer Science, Engineering and Information Technology Volume 10, Issue 1 doi : https://doi.org/10.32628/CSEIT2391547
34. Idika, C. N., James, U.U, Ijiga, O. M., Enyejo, L. A. (2023). Digital Twin-Enabled Vulnerability Assessment with Zero Trust Policy Enforcement in Smart Manufacturing Cyber-Physical System International Journal of Scientific Research in Computer Science, Engineering and Information Technology Volume 9, Issue 6 doi : https://doi.org/10.32628/IJSRCSEIT
35. Idika, C. N.,  Enyejo, J. O., Ijiga, O. M. & Okika, N. (2025). Entrepreneurial Innovations in AI-Driven Anomaly Detection for Software-Defined Networking in Critical Infrastructure Security International Journal of Social Science and Humanities Research Vol. 13, Issue 3, pp: (150-166), DOI: https://doi.org/10.5281/zenodo.16408773
36. Igba E., Ihimoyan, M. K.,  Awotinwo, B., & Apampa, A. K. (2024). Integrating BERT, GPT, Prophet Algorithm, and Finance Investment Strategies for Enhanced Predictive Modeling and Trend Analysis in Blockchain Technology. Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol., November-December-2024, 10 (6) : 1620-1645.https://doi.org/10.32628/CSEIT241061214
37. Igba, E., Danquah, E. O., Ukpoju, E. A.,   Obasa, J., Olola, T. M., & Enyejo, J. O. (2024). Use of Building Information Modeling (BIM) to Improve Construction Management in the USA. World Journal of Advanced Research and Reviews, 2024, 23(03), 1799–1813. https://wjarr.com/content/use-building-information-modeling-bim-improve-construction-management-usa
38. Ihimoyan, M. K., Enyejo, J. O. & Ali, E. O. (2022). Monetary Policy and Inflation Dynamics in Nigeria, Evaluating the Role of Interest Rates and Fiscal Coordination for Economic Stability. International Journal of Scientific Research in Science and Technology. Online ISSN: 2395-602X. Volume 9, Issue 6. doi : https://doi.org/10.32628/IJSRST2215454  
39. Ijiga, A. C., Aboi, E. J., Idoko, P. I., Enyejo, L. A., & Odeyemi, M. O. (2024). Collaborative innovations in Artificial Intelligence (AI): Partnering with leading U.S. tech firms to combat human trafficking. Global Journal of Engineering and Technology Advances, 2024,18(03), 106-123. https://gjeta.com/sites/default/files/GJETA-2024-0046.pdf
40. Ijiga, A. C., Enyejo, L. A., Odeyemi, M. O., Olatunde, T. I., Olajide, F. I & Daniel, D. O. (2024). Integrating community-based partnerships for enhanced health outcomes: A collaborative model with healthcare providers, clinics, and pharmacies across the USA. Open Access Research Journal of Biology and Pharmacy, 2024, 10(02), 081–104. https://oarjbp.com/content/integrating-community-based-partnerships-enhanced-health-outcomes-collaborative-model
41. Ijiga, O. M., Ifenatuora, G. P., & Olateju, M. (2021). Bridging STEM and Cross-Cultural Education: Designing Inclusive Pedagogies for Multilingual Classrooms in Sub Saharan Africa.  JUL 2021 | IRE Journals | Volume 5 Issue 1 | ISSN: 2456-8880.
42. Ijiga, O. M., Ifenatuora, G. P., & Olateju, M. (2021). Digital Storytelling as a Tool for Enhancing STEM Engagement: A Multimedia Approach to Science Communication in K-12 Education. International Journal of Multidisciplinary Research and Growth Evaluation. Volume 2; Issue 5; September-October 2021; Page No. 495-505.  https://doi.org/10.54660/.IJMRGE.2021.2.5.495-505
43. Ijiga, O. M., Ifenatuora, G. P., & Olateju, M. (2022). AI-Powered E-Learning Platforms for STEM Education: Evaluating Effectiveness in Low Bandwidth and Remote Learning Environments. International Journal of Scientific Research in Computer Science, Engineering and Information Technology ISSN : 2456-3307 Volume 8, Issue 5 September-October-2022 Page Number : 455-475 doi : https://doi.org/10.32628/IJSRCSEIT 
44. Ijiga, O.  M.,  Okika, N.,  Balogun, S. A.,  Enyejo,  L. A., & Agbo, O. J. (2025). A Comprehensive Review of Federated Learning Architectures for Insider Threat Detection in Distributed SQL-Based Enterprise Environments. International Journal of Innovative Science and Research Technology. Volume 10, Issue 7, July – 2025. ISSN No:-2456-2165.
45. Imoh, P. O. & Enyejo, J. O. (2025). Analyzing Social Communication Deficits in Autism Using Wearable Sensors and Real-Time Affective Computing Systems, International Journal of Innovative Science and Research Technology Volume 10, Issue 5 https://doi.org/10.38124/ijisrt/25may866
46. Imoh, P. O. (2023). Impact of Gut Microbiota Modulation on Autism Related Behavioral Outcomes via Metabolomic and Microbiome-Targeted Therapies International Journal of Scientific Research and Modern Technology (IJSRMT) Volume 2, Issue 8, 2023 DOI: https://doi.org/10.38124/ijsrmt.v2i8.494
47. Imoh, P. O., Adeniyi, M., Ayoola, V. B., & Enyejo, J. O. (2024). Advancing Early Autism Diagnosis Using Multimodal Neuroimaging and Ai-Driven Biomarkers for Neurodevelopmental Trajectory Prediction. International Journal of Scientific Research and Modern Technology, 3(6), 40–56. https://doi.org/10.38124/ijsrmt.v3i6.413
48. James, U. U., Ijiga, O. M. & Enyejo, L. A. (2025), Zero Trust Network Access Enforcement for Securing Multi-Slice Architectures in 5G Private Enterprise Deployments. International Journal of Innovative Science and Research Technology (IJISRT) Volume 10, Issue 8   https://doi.org/10.38124/ijisrt/25aug323
49. James, U. U., Ijiga, O. M., & Enyejo, L. A. (2024). AI-Powered Threat Intelligence for Proactive Risk Detection in 5G-Enabled Smart Healthcare Communication Networks. International Journal of Scientific Research and Modern Technology, 3(11), 125–140. https://doi.org/10.38124/ijsrmt.v3i11.679
50. James, U. U., Salami, E. O. & Enyejo, L. A. (2025). Real Time Policy Orchestration for Cybersecurity Risk Management in GRC Aligned Financial Technology Infrastructures International Journal of Innovative Science and Research Technology Volume 10, Issue 8 https://doi.org/10.38124/ijisrt/25aug1021
51. James, U.U., Olarinoye, H.S., Uchenna, I.R., Idika, C.N., Ngene, O.J., Ijiga, O.M. & Itemuagbor, K. (2025) Combating Deepfake Threats Using X-FACTS Explainable CNN Framework for Enhanced Detection and Cybersecurity Resilience. Advances in Artificial Intelligence and Robotics Research, 1, 41-64.https://www.scirp.org/journal/airr
52. Jinadu, S. O., Akinleye, E. A., Onwusi, C. N., Raphael, F. O., Ijiga, O. M. & Enyejo, L. A. (2023). Engineering atmospheric CO2 utilization strategies for revitalizing mature american oil fields and creating economic resilience Engineering Science & Technology Journal Fair East Publishers Volume 4, Issue 6, P.No. 741-760 DOI: 10.51594/estj.v4i6.1989
53. Jinadu, S. O., Akinleye, K. E., Onwusi, C. N., Okoh, O. F., & Ijiga, O. M. (2024). Advancing Atmospheric CO₂ Capture Integration with Oil Reservoir Injection for Sustainable Domestic Hydrocarbon Production Expansion. International Journal of Scientific Research and Modern Technology, 3(6), 123–136. https://doi.org/10.38124/ijsrmt.v3i6.728
54. Jinadu, S. O., Akinleye, K. E., Onwusi, C. N., Omachi, A., Ijiga, O. M., & Enyejo, L. A. (2025). Development of scalable CO₂ conversion systems enhancing oil recovery while reducing atmospheric carbon emissions nationwide. International Journal of Innovative Science and Research Technology, 10(8), 538–551. https://doi.org/10.38124/ijisrt/25aug627
55. Jones, D., Snider, C., Nassehi, A., Yon, J., & Hicks, B. (2020). Characterising the digital twin: A systematic literature review. CIRP Journal of Manufacturing Science and Technology, 29, 36–52. https://doi.org/10.1016/j.cirpj.2020.02.002
56. Komljenović, D., Diop, I., & Abdul-Nour, G. (2021). Overview of strategic approach to asset management and decision-making. International Journal of Engineering Research & Technology. doi:10.17577/IJERTV10IS120348
57. Kou, G., Chao, X., Peng, Y., Alsaadi, F. E., & Herrera-Viedma, E. (2019). Machine learning methods for systemic risk analysis in financial sectors. Technological Forecasting and Social Change, 144, 114–123. https://doi.org/10.1016/j.techfore.2019.04.020
58. Lozano, R., Carpenter, A., & Huisingh, D. (2015). A review of ‘theories of the firm’ and their contributions to corporate sustainability. Journal of Cleaner Production, 106, 430–442. https://doi.org/10.1016/j.jclepro.2014.05.007
59. Lund, H., Østergaard, P. A., Connolly, D., & Mathiesen, B. V. (2017). Smart energy and smart energy systems. Energy, 137, 556–565. https://doi.org/10.1016/j.energy.2017.05.123
60. Lund, P. D., Lindgren, J., Mikkola, J., & Salpakari, J. (2015). Review of energy system flexibility measures to enable high levels of variable renewable electricity. Renewable and Sustainable Energy Reviews, 45, 785–807. https://doi.org/10.1016/j.rser.2015.01.057
61. Markard, J., & Hoffmann, V. H. (2016). Analysis of complementarities: Framework and examples from the energy transition. Technological Forecasting and Social Change, 111, 63–75. https://doi.org/10.1016/j.techfore.2016.06.008
62. Meckling, J., & Nahm, J. (2018). The politics of technology bans: Industrial policy competition and green goals for the auto industry. Review of International Political Economy, 25(3), 380–410. https://doi.org/10.1080/09692290.2018.1434810
63. Miller, C. A., Richter, J., & O’Leary, J. (2015). Socio-technical dynamics of solar electricity innovation: An exploratory study of state policy, business models, and community adoption. Energy Research & Social Science, 10, 163–172. https://doi.org/10.1016/j.erss.2015.08.003
64. Nambisan, S., Wright, M., & Feldman, M. (2019). The digital transformation of innovation and entrepreneurship: Progress, challenges, and key themes. Research Policy, 48(8), 103773. https://doi.org/10.1016/j.respol.2019.03.018
65. Oliveira, T. A., Oliver, M., & Ramalhinho, H. (2020). Challenges for connecting citizens and smart cities: ICT, e-governance and blockchain. Sustainability, 12(2), 292. https://doi.org/10.3390/su12020292
66. Ononiwu, M., Azonuche, T. I., & Enyejo, J. O. (2023). Exploring Influencer Marketing Among Women Entrepreneurs using Encrypted CRM Analytics and Adaptive Progressive Web App Development. International Journal of Scientific Research and Modern Technology, 2(6), 1–13. https://doi.org/10.38124/ijsrmt.v2i6.562
67. Ononiwu, M., Azonuche, T. I., Imoh, P. O. &  Enyejo, J. O. (2023). Exploring SAFe Framework Adoption for Autism-Centered Remote Engineering with Secure CI/CD and Containerized Microservices Deployment International Journal of Scientific Research in Science and Technology Volume 10, Issue 6 doi : https://doi.org/10.32628/IJSRST
68. Ononiwu, M., Azonuche, T. I., Imoh, P. O. & Enyejo, J. O. (2024). Evaluating Blockchain Content Monetization Platforms for Autism-Focused Streaming with Cybersecurity and Scalable Microservice Architectures ICONIC RESEARCH AND ENGINEERING JOURNALS  Volume 8 Issue 1
69. Ossai, C. I. (2014). Sustainable asset integrity management: Strategic framework for renewable energy generation plants. Renewable Energy, 64, 27–31.
70. Pérez-Navarro, Á., Peñalvo-López, E., Vargas, C., Alfonso, D., & Alcázar-Ortega, M. (2019). Renewable generation and demand response integration in microgrids: Optimization of management strategies. Renewable Energy, 139, 1361–1373. https://doi.org/10.1016/j.renene.2019.02.135
71. Pilpola, S., & Lund, P. D. (2020). Analyzing the effects of uncertainties on the modelling of low-carbon energy system pathways. Energy, 201, 117652.
72. Polzin, F., & Sanders, M. (2020). How to finance the transition to low-carbon energy in Europe? Energy Policy, 147, 111863. https://doi.org/10.1016/j.enpol.2020.111863
73. Qi, Q., & Tao, F. (2018). Digital twin and big data towards smart manufacturing and Industry 4.0: 360 degree comparison. IEEE Access, 6, 3585–3593. https://doi.org/10.1016/j.jmsy.2018.04.002
74. Roehrl, R. A., & Riahi, K. (2000). Technology dynamics and greenhouse gas emissions mitigation: A cost assessment of uncertainty. Ecological Economics, 33(2), 239–255. https://doi.org/10.1016/S0921-8009(99)00150-9
75. Rotondo, R. (2025). Complete Asset Management: From Essential Modules to Advanced Plugins https://www.linkedin.com/pulse/complete-asset-management-from-essential-modules-advanced-rotondo-eci0f
76. Sengunlaw, (2025). The Use of Digital Twin Technologies as Evidence in Logistics Disputes https://sengunlaw.com/the-use-of-digital-twin-technologies-as-evidence-in-logistics-disputes/
77. Wang, J., Ma, Y., Zhang, L., Gao, R. X., & Wu, D. (2018). Deep learning for smart manufacturing: Methods and applications. Journal of Manufacturing Systems, 48, 144–156. https://doi.org/10.1016/j.jmsy.2018.01.003
78. Washizaki, H., Xia, T., Kamata, N., Fukazawa, Y., Kanuka, H., Kato, T., ... & Priyalakshmi, G. (2021). Systematic literature review of security pattern research. Information, 12(1), 36.
79. Xie, J., Tang, H., Huang, T., Yu, F. R., Xie, R., & Liu, J. (2021). A survey of blockchain technology applied to smart cities: Research issues and challenges. Future Generation Computer Systems, 128, 311–324. https://doi.org/10.1016/j.future.2021.01.048
80. Yang, Y. (2024). Energy transition: Connotations, mechanisms and effects. Energy Research & Social Science, XX, Article ID. doi:10.1016/j.erss.2024.XXXXX