In this chapter, the focus will be on the improvements of the efficiency of the solar energy systems using the advanced computational method namely deep learning. Due to the raise of the demand of adopting renewable energy, it is of paramount importance to improve the efficiency of the solar energy systems that are in use. This chapter discusses the capability of different deep learning models for enhancing the operation of solar energy systems, in terms of energy generation prediction, identification of malfunctions, system design, load estimation, and energy storage control. It presents an overview of the past research done on the use of deep learning in the optimization of solar energy and the advancement made in the area. Also, the chapter highlights the performance of these models and the sets them against the conventional optimisation approaches and also provides application scenarios and examples. © 2025 Elsevier B.V., All rights reserved.