Boosting Your Renewable System Performance

Do you need to make sense of sensor or other sequential measurement data where the responses are not single points, but a range of points presented as curves? Do you need to use that data to predict the likelihood of a system failure or maintain consistent power quality for a renewable energy or other systems? Would you like examples of how to use software to analyze the impact of, and interactions between,  geographic characteristics such as solar irradiance, proximity to bodies of water, latitude, season, temperature, time of day, and scattering elements such as clouds?

This session uses environment, photovoltaic (PV) irradiance and system operational data to:

• Import, clean and organize for analysis various types of files.
• Explore and evaluate images and data to understand the problem.
• Evaluate the factors and interactions related to curved data (current, temperature, irradiance).
• Determine the impact of factors on renewable energy system materials.

Suggested Prerequisites

• Basic understanding of characteristics and challenges to analyzing curved data.