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Change the current practice of using inaccurate weather data as an input for load forecasting in energy infrastructure operation and maintenance. `
Combine big data, advanced analytics, and arti cial intelligence to exponentially increase the accuracy of weather prediction.
Doing so will make outage predictions more accurate and enable better operational risk identi cation and more robust scenario planning, in turn leading to optimum deployment of resources for system maintenance.
A pilot project focused on building climate resiliency in operation and maintenance
“As the philosopher Charles Handy said: ‘The future is not inevitable. We can in uence it, if we know what we want it to be.’”
Keerthi Kumar Challa Associate Project O cer, India Resident Mission
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Technology