Avoidable expenses and lost energy production add up fast. How much do they cost you?
Leverage AI to increase production, reduce costs, and improve operational efficiency of renewable assets
Boost energy production
OEMs have little incentive to optimize your energy output. Traditional methods of asset performance management (APM) can be time consuming and costly, and they don’t provide the actionable insights needed to make future improvements.
With SparkCognition’s AI-enabled APM solution for clean energy, your project can achieve higher production and substantial improvements to the bottom line.
Minimize downtime and risk
Machine learning-based predictive analytics provide accurate, actionable insights that help operators avoid unexpected downtime and costs.
Asset failures can be predicted with very high accuracy, up to six months in advance, saving up to $150,000 per event, through optimized repair scheduling.
风, 太阳能, 水电, and energy storage operators gain advance warning to plan corrective actions and optimize maintenance scheduling for emergent asset failures before they even happen.
Operational efficiency is critical when managing expensive renewable assets where O&M costs have a significant impact on the bottom line. With the exceptional amount of data at hand, there are many opportunities to improve operational efficiency and boost productivity.
SparkCognition enables operators to leverage AI and cloud computing to dramatically improve efficiency, unify data silos and create a holistic operational view, and reduce the burden of manually intensive tasks like reporting and workforce scheduling.
“Renew Energy chose the 系综 platform from SparkCognition to help us maximize the value of the O&M services we provide our wind energy customers. We have seen significant gains in operational efficiency with the 系综 platform, and the team at SparkCognition works closely with our internal team to continuously increase the platform’s functionality.”
Wade Weichman, Technical Director