2018 - PI World - San Francisco - Industrial Analytics
Correlating Photovoltaic Power with Irradiance using Operational Machine Learning
As photovoltaic (PV) capacity increases, variability in the power generated by PV becomes an ever larger contributor to the quality and stability of the electric grid. Managing PV plant variability while maintaining standards of reliability requires a clear understanding and ability to predict PV output.
To manage its photovoltaic arrays, EDP requires a real-time prediction of PV power output as irradiance changes. To create a scalable solution, a system is needed that does not require the assistance of data scientists but rather enables the business unit domain experts to make these predictions and to do so in a real-time operating environment.
In a less than three weeks, using a cloud version of Falkonry's automated machine learning system with data from a PI system, a remote team from EDP created a model that accurately predicts PV power output as a function of irradiance.
Sanket leads marketing at Falkonry and is responsible for the company’s positioning, thought leadership and go to market strategy.
Sanket has over 20 years of experience in the high tech, energy, industrial and automotive markets in areas ranging from of product development to market strategy. Prior to Falkonry, he was VP of Product Marketing for Innovation & New Ventures at Flex, where he brought to market its Innovation services and launched the LabIX startup initiative. Earlier he led marketing and product development teams at Cisco and Delphi.
Sanket holds Master’s degrees in Electrical Engineering and Business Administration – both from the University of Michigan. He is a frequent industry speaker and holds thirteen U.S. patents.
EDP Inovação S.A.
Filipa Reis is a Technology Expert for Cleaner Energy at EDP Inovação S.A.