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A BSES release said the peak power demand in BSES Rajdhani Power Ltd. (BRPL) and BSES Yamuna Power Ltd (BYPL) areas had reached 1,926 MW and 1091 MW, respectively, during last winter."This year, it is expected to reach 2,020 MW and 1,165 MW for BRPL and BYPL respectively. Besides long-term arrangements, BSES discoms are also using advanced techniques like Banking, Backdown and Power Exchange to dispose off surplus power, ensure reliable power supply and making arrangements to get power during summer months," the statement said."In case of any unforeseeable contingency, BSES discoms will buy short term power from the exchange which is available at economical rates and can range between (around) Re 1 to over Rs 4 per unit during winter months, depending on the time-slot," it said."The backbone of BSES' power-supply arrangements during the winter-months includes long-term agreements from power-plants like Dadri (stage 1 & 2), hydro stations, Singrauli, Rihand, Sasan, DVC Mejia and Delhi based gas fueled generating stations. Additionally, BSES is also receiving 50 MW of wind power and 20 MW of solar power from SECI," it added.The company said that for taking care of the summer demand and to optimally manage the winter surplus, BSES discoms export and bank surplus electricity with other states."BRPL will bank between 267 MW and 278 MW with states like Himachal Pradesh and Manipur. On its part, BYPL will return around 235 MW to states like Himachal Pradesh, Meghalaya and Goa from whom it had taken the quantum during the summer-months," a BSES official said.To better meet present day demand, BSES said it uses a mix of in-house advanced statistical forecasting models and state-of-the-art weather forecasting solutions, including artificial intelligence (AI) and machine learning."Domain expertise provided by IMD-POSCO also helps. These help discoms build advanced models, which leads to high accuracy planning and huge saving of man-hours and cost," a spokesperson said.According to BSES, "this 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."( With inputs from IANS )

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