“BSES uses a mix of advanced statistical forecasting models using complex algorithms, combined with state-of-the-art weather forecasting solutions, including AI and machine learning. Accurate day-ahead, intra-day and medium-term demand forecasting is vital for optimal and cost-effective planning in ensuring reliable power supply to consumers at an optimal cost,” said a spokesperson of the company in Delhi.
BSES recently partnered with Australia-based Power Ledger, a global leader in blockchain technology, to launch consumer-to-consumer (peer-to-peer) solar power trading on a trial basis.
Tata Power, which has discoms both in Delhi and Mumbai and is in the process of adding more cities to its kitty, has also been adopting solutions to track demand-supply and grid infrastructure. Sanjay Banga, president, transmission & distribution, said the company bases its technology needs on two parameters — operational excellence aimed at reducing faults and maintenance time, and customer experience — to meet every unique demand.