The Andhra Pradesh Transmission Corporation (APTransco), for the first time in India, released the day-ahead electricity forecasting model using artificial intelligence (AI) and machine learning (ML) to forecast next day's electricity consumption, including a day-ahead electricity demand for every 15 minutes. The development will enable the AP State Load Dispatch Centre (SLDC) officials to take decisions on electricity demand and supply, grid management and minimise power purchase cost. 

The forecasting model is being developed by Google and World Bank together, with the SLDC, with SLDC working on the initiative inhouse. As the system gets deployed, APTransco aims to extend the day-ahead forecasting models for wind energy, solar energy, market prices, central generating stations' surplus and frequency. APTransco is also working on a low-cost model for electricity dispatch. The model will generate data to inform about how much electricity should be generated and dispatched every 15 minutes, the next day from generating stations so that there are reduced costs arising from power purchasing. 

Secretary for energy Srikant Nagulapalli said the government is aiming to build the most efficient and financially robust power sector to address future power demand and supply cost-effective power to consumers with zero interruption.