• Harshitha P
• Ashish Kumar
• Aditya Ranjan Sarkar
• Ayush Raj
• Anshul

This survey is for studying AI-driven solutions for real-time energy pricing based on supply, demand, and storage levels. Traditional pricing models struggle with renewable energy changes, creating a need for a AI enhanced approach that can handle the dynamic nature of demands, supply or storage levels. Major AI models-including machine learning, reinforcement learning, and optimization techniques—are used to forecast demand, optimize storage, and handle prices in real time. Software systems integrate data sources while overcoming difficulties like latency and security.

Energy , Artificial Intelligence , AI-Models

"AI system for real-time energy pricing based on supply, demand and storage level", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.f838-f841, November-2024, Available :http://www.jetir.org/papers/JETIR2411594.pdf

"AI system for real-time energy pricing based on supply, demand and storage level", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppf838-f841, November-2024, Available at : http://www.jetir.org/papers/JETIR2411594.pdf