<p>This paper presents a multi-source thermal storage for peak shaving and load balancing to improve the performance of Hybrid Energy Storage (HES) systems for abandoned mines. The proposed system combines renewable energy sources, such as solar, wind, and traditional power sources, and use Information Gap Decision Theory (IGDT) to optimize scheduling under uncertainties. Furthermore, it implements a Multi-Source Thermal Storage Peak Shaving (MSTSPS) with a Load Balancing Strategy (LBS) to manage variable loads efficiently, which significantly reduces peak-to-valley load differences and scheduling costs. In the end, it presents a case study using IEEE-39 nodes to evaluate the performance of the proposed work. Results show that the proposed system reduced peak-to-valley load differences with substantial cost savings, highlighting the potential of abandoned mines as sustainable, cost-effective storage solutions for renewable energy.</p>