sustainable AI-driven decision support in the RENEwable energy certificate market: AIRENE

Offentlig prosjektsammendrag

The AIRENE project will explore and utilise digitalisation technologies within the system of Energy Attribute Certificates (EACs) and sustainability reporting. At the core of this innovation is the introduction of data management procedures and integration of a structured database with finely tuned AI models, designed to significantly change how internal and external data is managed and utilised. Our approach extends beyond traditional data retrieval methods. We will take advantage of cutting-edge technologies including fine-tuned Language Models (LMs) and Retrieval-Augmented Generation (RAG) to enhance the capability and efficiency of our AI efforts. These technologies are important for maintaining and managing our organisational knowledge repository and external information, allowing for the seamless integration of relevant data. By using advanced frameworks, our system will enhance operational efficiencies and customer services across various applications significantly. Our AI-driven initiatives commit to sustainability and responsible technology utilisation. We are dedicated to incorporating sustainability principles into the design and deployment of our AI systems, optimising algorithms and infrastructure for energy efficiency, and undertaking comprehensive lifecycle assessments to minimise environmental impact.