ABOUT THIS WEBINAR

Renewables

AI for Renewables: 5 Steps to Unlock Actionable Insights from Alarm Data

 

Webinar Summary

In the next decade, the world must double its installed capacity each year to meet demand and global sustainability targets. As the world’s dependence on renewable energy grows, renewable assets must meet higher standards of reliability and performance. Renewable Energy and Operators struggle to achieve high-performance operations at scale because of massive volumes of data, multiple data silos, manual processes, and inefficient workflows.

IN THIS WEBINAR YOU WILL:

In this webinar, SparkCognition’s Rob Budny and Clara Midgley discuss best practices in data processing, data quality management, energy loss calculations, and workflow management that can enable you to scale your asset management practices profitably. Learn how your company can:

  • Increase operational efficiency with intelligent alarm processing.
  • Validate contractual obligations in real-time rather than retroactively.
  • Accurately and quickly quantify lost production because of alarms.
  • Enhance O&M practices with predictive analytics for multi-asset class fleets.

About the Speakers

Rob Budny

Rob Budny leads the sales of SparkCognition products to the power generation industry. He is a Mechanical Engineer by training, with 20 years of power generation experience, and a particular focus on renewable energy. Using his expertise in rotating equipment reliability, Rob has been developing and selling AI solutions for the power generation industry for the past 7 years.

Clara Midgley

Clara Midgley is the Product Manager for Renewable Energy APM at SparkCognition. In this role, she guides the product development roadmap to ensure that the APM delivers maximal value to each of its users. Clara is a Mechanical Engineer with nearly a decade of experience working at large IPPs. Clara has particular expertise in battery energy storage systems, which is a rapidly growing segment of SparkCognition's renewable energy businesses.

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