AI for Renewables: 3 Proven Ways to Maximize Production & Profitability

AIRED ON: July 7, 2022

Webinar Summary

Renewable energy operators face enormous challenges to remain profitable in an increasingly competitive market. Facing tightening margins, operators are looking to extract maximum value by leveraging the flood of data collected from their renewable assets. As grid changes lead to increasing curtailment, forecasting becomes more challenging. And as the global supply chain is constrained, unforeseen equipment failures can lead to a costly and lengthy downtime. Operators leveraging AI have seen an increased performance, reduced costs, and optimal efficiencies.

Join our industry expert for this game-changing webinar as we discuss how artificial intelligence can enhance your renewable asset performance and profitability in three key ways:

1) Increase revenue with more accurate forecasts trained on your assets’ actual data.

2) Reduce costs by alerting staff to critical anomalies, and predicting issues days or weeks before they happen, while eliminating false results.

3) Improve decisions by automating energy loss waterfalls that reconcile events automatically for real-time understanding of the bottom-line impact.


SparkCognition’s Rob Budny will help you:

  • Analyze outputs from installed assets to improve production forecast accuracy.
  • Understand why operators not using AI and predictive models are falling behind the market.
  • Learn techniques to maximize throughput and significantly improve O&M operations.

About the Speaker

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.

Watch It Now

AI for Renewables: 3 Proven Ways to Maximize Production & Profitability originally aired on July 7, 2022. Did you miss this webinar? No need to worry. You can watch it on-demand today!

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