The global transition from fossil fuels to renewable energy has become a critical priority in addressing environmental and sustainability challenges. However, the intermittent nature of renewable energy sources, such as solar and wind, poses significant challenges in ensuring a stable and reliable energy supply. This article explores the role of Internet of Things (IoT) technology in optimizing renewable energy storage systems to address these challenges. Using a systematic literature review (SLR) approach, the study identifies recent innovations in IoT technologies, including the integration of artificial intelligence (AI), big data analytics, and smart energy management systems, which enhance efficiency, sustainability, and reduce operational costs of energy storage systems. IoT enables real-time data monitoring, energy demand prediction, and decentralized energy management, reducing energy losses, extending the lifespan of storage devices, and supporting grid stability. The findings highlight that IoT integration offers innovative solutions to mitigate the intermittency of renewable energy, supporting the global energy transition toward more reliable, cost-effective, and environmentally friendly energy systems. This study provides valuable insights into the potential of IoT in advancing renewable energy storage technologies and contributes to the development of sustainable energy solutions for the future.