Harnessing AI and IoT Technologies for Sustainable Business Operations in the Energy Sector

Authors

  • Suman Reddy Mallipeddi Lead Software Engineer, Discover Financial Services, 2500 Lake Cook Rd, Riverwoods, IL 60015, USA

DOI:

https://doi.org/10.18034/apjee.v9i1.735

Keywords:

Artificial Intelligence, IoT, Sustainable Business Operations, Technology Integration, Efficiency Optimization, Renewable Energy, Smart Grids, Environmental Impact

Abstract

The potential for improving sustainable business operations in the energy industry through the combination of artificial intelligence (AI) and Internet of Things (IoT) technology is considerable. This research investigates the potential benefits, obstacles, and policy ramifications of utilizing AI and IoT technology for sustainable commercial activities within the energy industry. A thorough analysis of current literature, including government publications, industry reports, and peer-reviewed journal papers, is part of the methodology used. Important discoveries demonstrate how AI and IoT technology can revolutionize resource efficiency, improve grid stability, encourage the integration of renewable energy sources, and lessen environmental effects. To guarantee successful acceptance and deployment, however, obstacles must be addressed, including worries about data privacy and security, unpredictability in regulations, interoperability problems, and the need for workforce development, Clear regulatory frameworks, workforce development programs, interoperability standards, and cybersecurity measures are among the policy implications that must be addressed to enable the appropriate and successful integration of AI and IoT technologies in the energy sector. In summary, this research highlights the significance of deliberate investments, cooperation, and legislative measures when utilizing AI and IoT technology to propel sustainable business practices within the energy industry.

Downloads

Download data is not yet available.

References

Ali, S. S., Choi, B. J. (2020). State-of-the-Art Artificial Intelligence Techniques for Distributed Smart Grids: A Review. Electronics, 9(6), 1030. https://doi.org/10.3390/electronics9061030 DOI: https://doi.org/10.3390/electronics9061030

Alreshidi, E. (2019). Smart Sustainable Agriculture (SSA) Solution Underpinned by the Internet of Things (IoT) and Artificial Intelligence (AI). International Journal of Advanced Computer Science and Applications, 10(5). https://doi.org/10.14569/IJACSA.2019.0100513 DOI: https://doi.org/10.14569/IJACSA.2019.0100513

Alsamhi, S. H., Ou, M., Ansari, M. S., Meng, Q. (2019). Greening Internet of Things for Greener and Smarter Cities: A Survey and Future Prospects. Telecommunication Systems, 72(4), 609-632. https://doi.org/10.1007/s11235-019-00597-1 DOI: https://doi.org/10.1007/s11235-019-00597-1

Ande, J. R. P. K., & Khair, M. A. (2019). High-Performance VLSI Architectures for Artificial Intelligence and Machine Learning Applications. International Journal of Reciprocal Symmetry and Theoretical Physics, 6, 20-30. https://upright.pub/index.php/ijrstp/article/view/121

Deming, C., Khair, M. A., Mallipeddi, S. R., & Varghese, A. (2021). Software Testing in the Era of AI: Leveraging Machine Learning and Automation for Efficient Quality Assurance. Asian Journal of Applied Science and Engineering, 10(1), 66–76. https://doi.org/10.18034/ajase.v10i1.88 DOI: https://doi.org/10.18034/ajase.v10i1.88

Gardaševic, G., Katzis, K., Bajic, D., Berbakov, L. (2020). Emerging Wireless Sensor Networks and Internet of Things Technologies—Foundations of Smart Healthcare. Sensors, 20(13), 3619. https://doi.org/10.3390/s20133619 DOI: https://doi.org/10.3390/s20133619

Hodgkins, S. (2020). Big Data-driven Decision-Making Processes for Environmentally Sustainable Urban Development: The Design, Planning, and Operation of Smart City Infrastructure. Geopolitics, History and International Relations, 12(1), 87-93. https://doi.org/10.22381/GHIR12120208 DOI: https://doi.org/10.22381/GHIR12120208

Khair, M. A. (2018). Security-Centric Software Development: Integrating Secure Coding Practices into the Software Development Lifecycle. Technology & Management Review, 3, 12-26. https://upright.pub/index.php/tmr/article/view/124

Khair, M. A., Ande, J. R. P. K., Goda, D. R., & Yerram, S. R. (2019). Secure VLSI Design: Countermeasures against Hardware Trojans and Side-Channel Attacks. Engineering International, 7(2), 147–160. https://doi.org/10.18034/ei.v7i2.699 DOI: https://doi.org/10.18034/ei.v7i2.699

Khair, M. A., Mahadasa, R., Tuli, F. A., & Ande, J. R. P. K. (2020). Beyond Human Judgment: Exploring the Impact of Artificial Intelligence on HR Decision-Making Efficiency and Fairness. Global Disclosure of Economics and Business, 9(2), 163-176. https://doi.org/10.18034/gdeb.v9i2.730 DOI: https://doi.org/10.18034/gdeb.v9i2.730

Maddula, S. S. (2018). The Impact of AI and Reciprocal Symmetry on Organizational Culture and Leadership in the Digital Economy. Engineering International, 6(2), 201–210. https://doi.org/10.18034/ei.v6i2.703 DOI: https://doi.org/10.18034/ei.v6i2.703

Maddula, S. S., Shajahan, M. A., & Sandu, A. K. (2019). From Data to Insights: Leveraging AI and Reciprocal Symmetry for Business Intelligence. Asian Journal of Applied Science and Engineering, 8(1), 73–84. https://doi.org/10.18034/ajase.v8i1.86 DOI: https://doi.org/10.18034/ajase.v8i1.86

Madushanki, A. A. R., Halgamuge, M. N., Wirasagoda, W. A. H. S., Ali, S. (2019). Adoption of the Internet of Things (IoT) in Agriculture and Smart Farming towards Urban Greening: A Review. International Journal of Advanced Computer Science and Applications, 10(4). https://doi.org/10.14569/IJACSA.2019.0100402 DOI: https://doi.org/10.14569/IJACSA.2019.0100402

Mallipeddi, S. R. (2019). Strategic Alignment of AI and Reciprocal Symmetry for Sustainable Competitive Advantage in the Digital Era. Technology & Management Review, 4(1), 23-35. https://upright.pub/index.php/tmr/article/view/128

Mengidis, N., Tsikrika, T., Vrochidis, S., Kompatsiaris, I. (2019). Blockchain and AI for the Next Generation Energy Grids: Cybersecurity Challenges and Opportunities. Information & Security, 43(1), 21-33. https://doi.org/10.11610/isij.4302 DOI: https://doi.org/10.11610/isij.4302

Mullangi, K. (2017). Enhancing Financial Performance through AI-driven Predictive Analytics and Reciprocal Symmetry. Asian Accounting and Auditing Advancement, 8(1), 57–66. https://4ajournal.com/article/view/89

Mullangi, K., Maddula, S. S., Shajahan, M. A., & Sandu, A. K. (2018). Artificial Intelligence, Reciprocal Symmetry, and Customer Relationship Management: A Paradigm Shift in Business. Asian Business Review, 8(3), 183–190. https://doi.org/10.18034/abr.v8i3.704 DOI: https://doi.org/10.18034/abr.v8i3.704

Nallapaneni, M. K., Chand, A. A., Malvoni, M., Prasad, K. A., Mamun, K. A. (2020). Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids. Energies, 13(21), 5739. https://doi.org/10.3390/en13215739 DOI: https://doi.org/10.3390/en13215739

Petar, R., David, D. R., Page, K., Nurse, J. R. C., Rafael, M. M. (2020). Cyber Risk at the Edge: Current and Future Trends on Cyber Risk Analytics and Artificial Intelligence in the Industrial Internet of Things and Industry 4.0 Supply Chains. Cybersecurity, 3(1). https://doi.org/10.1186/s42400-020-00052-8 DOI: https://doi.org/10.1186/s42400-020-00052-8

Rezac, F. (2020). Addressing Conceptual Randomness in IoT-Driven Business Ecosystem Research. Sensors, 20(20), 5842. https://doi.org/10.3390/s20205842 DOI: https://doi.org/10.3390/s20205842

Saletti, C., Morini, M., Gambarotta, A. (2020). The Status of Research and Innovation on Heating and Cooling Networks as Smart Energy Systems within Horizon 2020. Energies, 13(11), 2835. https://doi.org/10.3390/en13112835 DOI: https://doi.org/10.3390/en13112835

Sandu, A. K., Surarapu, P., Khair, M. A., & Mahadasa, R. (2018). Massive MIMO: Revolutionizing Wireless Communication through Massive Antenna Arrays and Beamforming. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 22-32. https://upright.pub/index.php/ijrstp/article/view/125

Schulte, P., Liu, G. (2018). FinTech Is Merging with IoT and AI to Challenge Banks: How Entrenched Interests Can Prepare. The Journal of Alternative Investments, 20(3), 41-57. https://doi.org/10.3905/jai.2018.20.3.041 DOI: https://doi.org/10.3905/jai.2018.20.3.041

Shajahan, M. A. (2018). Fault Tolerance and Reliability in AUTOSAR Stack Development: Redundancy and Error Handling Strategies. Technology & Management Review, 3, 27-45. https://upright.pub/index.php/tmr/article/view/126

Shuja, J., Ahmad, R. W., Gani, A., Ahmed, A., brahim, A., Siddiqa, A. (2017). Greening Emerging IT Technologies: Techniques and Practices. Journal of Internet Services and Applications, 8(1), 1-11. https://doi.org/10.1186/s13174-017-0060-5 DOI: https://doi.org/10.1186/s13174-017-0060-5

Tuli, F. A., Varghese, A., & Ande, J. R. P. K. (2018). Data-Driven Decision Making: A Framework for Integrating Workforce Analytics and Predictive HR Metrics in Digitalized Environments. Global Disclosure of Economics and Business, 7(2), 109-122. https://doi.org/10.18034/gdeb.v7i2.724 DOI: https://doi.org/10.18034/gdeb.v7i2.724

Yerram, S. R. (2020). AI-Driven Inventory Management with Cryptocurrency Transactions. Asian Accounting and Auditing Advancement, 11(1), 71–86. https://4ajournal.com/article/view/86

Yerram, S. R. (2021). Driving the Shift to Sustainable Industry 5.0 with Green Manufacturing Innovations. Asia Pacific Journal of Energy and Environment, 8(2), 55-66. https://doi.org/10.18034/apjee.v8i2.733 DOI: https://doi.org/10.18034/apjee.v8i2.733

Yerram, S. R., & Varghese, A. (2018). Entrepreneurial Innovation and Export Diversification: Strategies for India’s Global Trade Expansion. American Journal of Trade and Policy, 5(3), 151–160. https://doi.org/10.18034/ajtp.v5i3.692 DOI: https://doi.org/10.18034/ajtp.v5i3.692

Yerram, S. R., Mallipeddi, S. R., Varghese, A., & Sandu, A. K. (2019). Human-Centered Software Development: Integrating User Experience (UX) Design and Agile Methodologies for Enhanced Product Quality. Asian Journal of Humanity, Art and Literature, 6(2), 203-218. https://doi.org/10.18034/ajhal.v6i2.732 DOI: https://doi.org/10.18034/ajhal.v6i2.732

Yigitcanlar, T., Desouza, K. C., Butler, L., Roozkhosh, F. (2020). Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature. Energies, 13(6), 1473. https://doi.org/10.3390/en13061473 DOI: https://doi.org/10.3390/en13061473

Yung-Yao, C., Yu-Hsiu, L., Kung, C-C., Ming-Han, C., I-Hsuan, Y. (2019). Design and Implementation of Cloud Analytics-Assisted Smart Power Meters Considering Advanced Artificial Intelligence as Edge Analytics in Demand-Side Management for Smart Homes. Sensors, 19(9). https://doi.org/10.3390/s19092047 DOI: https://doi.org/10.3390/s19092047

Downloads

Published

2022-06-30

Issue

Vol. 9 No. 1 (2022): January - June Issue

Section

Articles

License

Copyright (c) 2022 Suman Reddy Mallipeddi

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

The CC BY-NC 4.0 license lets others remix, tweak, and build upon your work non-commercially, and although their new works must also acknowledge & be non-commercial, they don’t have to license their derivative works on the same terms.
|| View License Deed ||
|| View Legal Code ||
 
Publishing paper with Asia Pacific Journal of Energy and Environment means that the author or authors retain the copyright in the paper.
This journal is granted an exclusive noncommercial reuse license by the author(s), but the author(s) are able to put the paper onto a website, distribute it to colleagues, give it to students, use it in your thesis, etc, so long as the use is not directed at commercial advantage or toward private monetary gain.
The author(s) can reuse the figures and tables and other information contained in their paper published by Asia Pacific Journal of Energy and Environment in future papers or work without having to ask anyone for permission, provided that the figures, tables or other information that is included in the new paper or work properly references the published paper as the source of the figures, tables or other information, and the new paper or work is not direct at private monetary gain or commercial advantage.

How to Cite

Mallipeddi, S. R. (2022). Harnessing AI and IoT Technologies for Sustainable Business Operations in the Energy Sector. Asia Pacific Journal of Energy and Environment, 9(1), 37-48. https://doi.org/10.18034/apjee.v9i1.735
Crossref
Scopus
Google Scholar
Europe PMC

Similar Articles

1-10 of 77

You may also start an advanced similarity search for this article.