AI can analyze vast datasets to predict energy demand more accurately and optimize the balance between renewable and traditional energy supply.

Predictive analytics is one of AI's most impactful applications in energy management. Through machine learning algorithms, AI systems can analyze historical energy consumption data alongside real-time inputs to forecast future energy needs accurately. 

Integrating AI in grid management revolutionizes how energy is distributed and consumed. Smart grids powered by AI facilitate the efficient distribution of renewable energy, ensuring the energy supply is stable and sustainable.

AI can predict energy demand patterns with high accuracy. By understanding demand fluctuations, energy providers can adjust production levels, store excess energy, and reduce wastage. This demand-supply balance is essential for maintaining grid stability and ensuring that renewable energy efficiently meets the country's needs.