AI-Driven Approaches for Next-Gen Solar Cells

Abstract

AI plays a significant role in enhancing solar cell performance and has implications for sustainability and renewable energy integration. Additionally, it investigates how ML & AI may be applied to optimize energy production, boost solar cell efficiency, and facilitate intelligent grid integration. This chapter focuses on using AI-driven algorithms for solar cell material design and development. It shows how AI could accelerate the search for and development of materials with increased stability and effectiveness. It also explores the application of AI in developing solar cell technologies. The chapter discusses AI-powered control systems and prediction models for tracking and preserving solar cell performance. To improve the overall dependability of solar energy systems, it emphasizes the function of AI algorithms in identifying anomalies, predicting energy usage, and maximizing energy production. The chapter talks about the challenges of manufacturing and implementing solar cells. It draws attention to the ways AI could boost the sustainability of solar energy capacity.