Until just a few years ago, millions of people in rural India did not have reliable access to electricity, according to a report issued by the World Bank. Pressure to forecast demand, down to 15-minute time frames, and procure power beforehand, created lots of challenges.
For state governments, the key to balancing supply is accurately predicting demand. But, until recently, predictions have been calculated manually using spreadsheets. Lacking precision, distribution companies were buying too much power, leading to waste, or too little power, contributing to financial losses. Delhi-based Mercados EMI a leading consultancy firm that specializes in solutions for demand forecasting, chose IBM Weather Business Solutions to help predict demand with greater accuracy with more frequent updates.
“The bottom line is you have to know how much power you will consume so that you buy only as much as you require.” – Rachit Kumar Agarwal, Managing Partner
Turns out, predicting energy consumption has a lot to do with the weather. New improvements in the Weather Company Data Packages helps forecasters predict day-ahead energy requirements.
Factoring in weather data
The post Keeping the lights on in India using weather data appeared first on Business Operations.
Original article: Keeping the lights on in India using weather data
Author: Kunal Virmani