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Cloud Computing for Carbon Monitoring and Analytics
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Author(s): Varsha Tyagi (Raj Kumar Goel Institute of Technology, Ghaziabad, India), Pallavi Tyagi (Raj Kumar Goel Institute of Technology, Ghaziabad, India), Gauravkant Tyagi (Equinor ASA, Norway)and Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, Ghaziabad, India)
Copyright: 2025
Pages: 20
Source title:
Advanced Systems for Monitoring Carbon Sequestration
Source Author(s)/Editor(s): Hari Mohan Pandey (Bournemouth University, UK), Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, India), Vipin Balyan (Cape Peninsula University of Technology, South Africa)and Satya Prakash Yadav (Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India)
DOI: 10.4018/979-8-3373-2091-5.ch012
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Abstract
This chapter explores the role of cloud computing in carbon monitoring and analytics, providing scalable and efficient solutions for tracking carbon emissions across various industries. Cloud platforms enable organizations to gather real-time data from multiple sources, including IoT sensors, satellite imagery, and environmental databases, to monitor, analyze, and visualize carbon footprints. Technologies such as big data analytics, machine learning, and artificial intelligence (AI) are integrated into cloud systems to generate actionable insights for reducing emissions. Additionally, this chapter discusses case studies of cloud-based carbon monitoring systems and examines challenges related to data security, privacy, and interoperability. By emphasizing the potential of cloud ecosystems in driving sustainable innovation, this chapter highlights cloud computing's critical role in climate action.
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