AI-Powered Carbon Footprint Reduction in Industrial Manufacturing
Abstract
Industrial manufacturing is a major contributor to global carbon emissions. This paper presents machine learning strategies to enhance energy efficiency, reduce emissions, and optimize production processes in industries. ML techniques, including anomaly detection, predictive maintenance, and process optimization, are applied to monitor energy usage, detect inefficiencies, and recommend sustainable alternatives. We explore the integration of AI-driven automation with industrial IoT sensors for real-time sustainability tracking. The findings highlight how machine learning can transform traditional manufacturing into a more sustainable and eco-friendly industry.
References
Whig, P., Sharma, R., Yathiraju, N., Jain, A., & Sharma, S. (2025). Blockchain‐Enabled Secure Federated Learning Systems for Advancing Privacy and Trust in Decentralized AI. Model Optimization Methods for Efficient and Edge AI: Federated Learning Architectures, Frameworks and Applications, 321-340.
Nagarajan, S. K. S., Ramaiah, M. S., & Whig, P. (2025). Data-Driven Solutions Enhancing Adaptive Education Through Technological Innovations for Disability Support. In Advancing Adaptive Education: Technological Innovations for Disability Support (pp. 101-124). IGI Global Scientific Publishing.
Ramaiah, M. S., Nagarajan, S. K. S., Whig, P., & Dutta, P. K. (2025). AI-Powered Innovations Transforming Adaptive Education for Disability Support. In Advancing Adaptive Education: Technological Innovations for Disability Support (pp. 73-100). IGI Global Scientific Publishing.
Chundru, S., & Whig, P. (2025). Future of Emotional Intelligence in Technology: Trends and Innovations. In Humanizing Technology With Emotional Intelligence (pp. 457-468). IGI Global Scientific Publishing.
Thirunagalingam, A., & Whig, P. (2025). Emotional AI Integrating Human Feelings in Machine Learning. In Humanizing Technology With Emotional Intelligence (pp. 19-32). IGI Global Scientific Publishing.
Seelam, D. R., Kidiyur, M. D., Whig, P., Gupta, S. K., & Balantrapu, S. S. (2025). Integrating Artificial Intelligence in Blue-Green Infrastructure: Enhancing Sustainability and Resilience. In Integrating Blue-Green Infrastructure Into Urban Development (pp. 347-372). IGI Global Scientific Publishing.
Seelam, D. R., Kidiyur, M. D., Whig, P., & Whig, A. (2025). Harnessing Data Engineering for Optimizing Blue-Green Infrastructure: Building Resilient and Sustainable Urban Ecosystems. In Integrating Blue-Green Infrastructure Into Urban Development (pp. 271-290). IGI Global Scientific Publishing.
Sharma, Seema, et al. "Enhancing crop yield prediction through machine learning regression analysis." International Journal of Sustainable Agricultural Management and Informatics 11.1 (2025): 29-47.
Whig, P., Shadadi, E., Kouser, S., & Alamer, L. (2025). Machine learning approaches for early detection and management of musculoskeletal conditions. International Journal of Computational Vision and Robotics, 15(1), 104-117.
Whig, P., Kouser, S., Bhatia, A. B., & Alkali, Y. (2025). Role of IoT in developing smart healthcare monitoring systems. In Mining Biomedical Text, Images and Visual Features for Information Retrieval (pp. 99-118). Academic Press.
Whig, P., Kasula, B. Y., Yathiraju, N., Jain, A., & Sharma, S. (2025). Bone cancer classification and detection using machine learning technique. In Diagnosing Musculoskeletal Conditions using Artifical Intelligence and Machine Learning to Aid Interpretation of Clinical Imaging (pp. 65-80). Academic Press.
Whig, P., Kasula, B. Y., Yathiraju, N., Jain, A., & Sharma, S. (2025). Revolutionizing Gender-Specific Healthcare: Harnessing Deep Learning for Transformative Solutions. In Transforming Gender-Based Healthcare with AI and Machine Learning (pp. 14-26). CRC Press.
Subash, B., & Whig, P. (2025). Principles and Frameworks. In Ethical Dimensions of AI Development (pp. 1-22). IGI Global.
Nadella, G. S., Meduri, S. S., Maturi, M. H., & Whig, P. (2025). Societal Impact and Governance: Shaping the Future of AI Ethics. In Ethical Dimensions of AI Development (pp. 261-282). IGI Global.
Pulivarthy, P., & Whig, P. (2025). Bias and Fairness Addressing Discrimination in AI Systems. In Ethical Dimensions of AI Development (pp. 103-126). IGI Global.
Meduri, K., Podicheti, S., Satish, S., & Whig, P. (2025). Accountability and Transparency Ensuring Responsible AI Development. In Ethical Dimensions of AI Development (pp. 83-102). IGI Global.
Nadella, G. S., Gonaygunta, H., Harish, M., & Whig, P. (2025). Privacy and Security: Safeguarding Personal Data in the AI Era. In Ethical Dimensions of AI Development (pp. 157-174). IGI Global.
Whig, P., Madavarapu, J. B., Yathiraju, N., & Thatikonda, R. (2025). IoT Healthcare's Advanced Decision Support through Computational Intelligence. In Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering (pp. 41-53). CRC Press.
