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Machine learning based PV power forecast & grid support solutions for PV integration in diverse climatic zones in India

Innovator Details

Innovator
Prof. Rhythm Singh & Prof. Raksha Sharma

About

The project aims to develop a reliable and autonomous hardware system for collecting data essential for generation forecasting and create a robust PV power forecasting methodology accounting for local climatic variations. It will provide recommendations for grid support in diverse climatic zones and establish a cloud-based software service for centralized forecasting.
Funding Organization
Funding Organization
Department of Science and Technology (DST)
Quick Information
TRL: Technology Readiness Level
6
TIH Name
iHub DivyaSampark, IIT Roorkee
Status
ongoing
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