Ashvarya Mathur

About Ashvarya

Ashvarya was awarded a research masters in system electronics from Polytech Nantes, France; and a Bachelor of Engineering from BK Birla Institute of Engineering and Technology, Pilani, in electrical engineering.

He has worked for more than four years to improve the thermal characteristics of a computer numerical control (CNC) machine tool, and has applied for several related patents.

He has been published in several international journals, including the International Journal of Machine Tools and Manufacture, and Procedia CIRP.

His research focuses on information systems aimed at improving socio-economic outcomes.

Project details

Multi time scale wind speed forecasting

Renewable energy sources are intermittent sources of power and are highly dependent on weather and climatic conditions. Variations in power generation poses multiple operating constraints like requiring primary and spinning reserves, complicated power production planning, and balancing power etc. It also has commercial implications in terms of financial planning, cash flow and downtime scheduling etc. Forecasting of weather patterns can help plan long term and short term operations of wind turbines. State-of-the-art forecasts can also have a significant economic impact. ReNew Power owns and operates over 50 wind farms with installed capacity close to 3GW (as of January 2019). A reliable forecast system for each of the farms would add to robustness to financial planning at ReNew.

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UQ Supervisor

Professor Tapan Saha

School of Information Technology and Electrical Engineering
IITD Supervisor

Professor B.K Panigrahi

Department of Electrical Engineering