Green AI-Based Sustainability Management Framework for Real-Time Carbon Footprint Monitoring in Enterprises

Abstract

The current environmental problems in industries and other business organisations are carbon emissions. Most businesses use manual methods of calculating their carbon footprints; hence, they take a lot of time to achieve the results. in this situation, companies have faced challenges in managing and improving their environmental performance due to inefficiencies in environmental monitoring processes. There is a need to come up with solutions that will allow the organisations to improve environmental performance. With this challenge in mind, this research seeks to present a Green AI-Based Sustainability Management Framework for carbon footprint monitoring purposes in enterprises. The proposed framework will use Artificial Intelligence (AI), IoT Devices, machine learning approaches, and data processing techniques in the continuous and efficient monitoring of carbon emissions in the enterprise. In this regard, the framework will capture environmental and business data and process information through intelligent predictive models and estimation of carbon emissions in order to determine parts with excess energy usage. Apart from this, the framework will enhance decision making through real-time monitoring and sustainability analysis. Moreover, the proposed model will help organizations in less energy waste and ensure eco-friendly operations.