TAHNIAH PROF. MADYA DR. NG THEAM FOO RUTRANS 2024

The proposed research program aims to address the pressing need for sustainable practices among local SMEs through the integration of energy conservation, efficiency, renewable energy monitoring, ESG digital reporting, and carbon predicting approaches. The program is motivated by the challenges faced by SMEs in adopting information technology for real-time data analysis, particularly in the context of low detection accuracy and high dimensionality in manufacturing processes. The objectives of the program include measuring energy efficiency profiles, developing mechanisms for renewable energy performance monitoring, designing robust algorithms for real-time energy consumption analysis, constructing hybrid models for anomaly detection, establishing carbon emissions strategies, and measuring the impact of these strategies on sustainability goals. Collaborations with industry experts and academic institutions will ensure the successful implementation of these objectives. The research methodology involves data analytics, auditing reports, sensor certifications, machine learning, deep learning, and multi-criteria decision methods. The expected outputs include energy profiling reports, renewable energy monitoring mechanisms, anomaly detection models, carbon emissions strategies, and ESG digital platforms. The outcomes will be measured through the Carbon Emission Reduction Index, toolkit calculators, and action plan policies. The implications of this research program are significant, as it will not only enhance the sustainability practices of local SMEs but also contribute to environmental protection, cost savings, and policy development. The impact of the program extends to the broader community by promoting a culture of sustainability and responsible business practices. Overall, this research program holds immense significance in driving positive change towards a more sustainable future for SMEs and the environment.