SparkCognition Industrial AI Suite for Renewables
Artificial intelligence (AI)-powered renewable energy asset performance management platform for solar, wind, hydro, and storage
SparkCognition Industrial AI Suite for Renewables is the world’s first AI-powered full-spectrum APM platform for renewable energy, enabling you to improve profitability by increasing energy production, reducing maintenance costs, and maximizing operational efficiency.
Artificial intelligence (AI)-powered renewable energy asset performance management platform for solar, wind, hydro, and storage
SparkCognition Industrial AI Suite for Renewables is the world’s first AI-powered full-spectrum APM platform for renewable energy, enabling you to improve profitability by increasing energy production, reducing maintenance costs, and maximizing operational efficiency.
Proven Value
“Renew Energy chose 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 product, and the team at SparkCognition works closely with our internal team to continuously increase the solution’s functionality.”
Wade Weichman
Technical Director, RENEW Energy
Increase renewable energy production, reduce maintenance costs, and maximize operational efficiency
Hidden underperformance, lack of visibility into production loss and its causes, and premature and unexpected component failures are just some of the challenges faced by renewable energy operators today. Weighed down by extremely large data volumes and diverse asset mixes, asset management often becomes a time-consuming (and expensive) endeavor, requiring multiple tools that together fail to deliver a strong return on investment.
SparkCognition Industrial AI Suite for Renewables was built by renewable energy experts to provide a single AI-powered tool for the management of multiple asset types—solar, wind, hydro, and energy storage—with proven ability to increase annual energy production up to 5% and decrease O&M costs by 10%.
Ready to optimize renewable energy production and decrease your operations and maintenance costs?
Get end-to-end visibility with dashboards, monitoring, and automated reporting
Industrial AI Suite for Renewables gives you the entire picture to view actionable alerts for fleet-level KPIs and operations and use automated performance metrics to streamline maintenance decisions.
- View energy production, capacity factor, revenue, and energy-based availability.
- Monitor assets or components at risk of failure and examine maintenance cost trends.
- Measure downtime and lost energy events by frequency and duration.
- Observe current site environmental conditions (wind speed, direction, temperature, solar irradiation, and more).
Watch our webinar: 5 Steps to Unlock Actionable Insights from Alarm Data
Drill down using powerful alarm and event management features
Drill down to explore your project and device-level KPIs. Industrial AI Suite for Renewables improves operational outcomes by enabling analysts and technicians to spend less time managing data and more time developing solutions.
- Set up custom alerts from project to asset level.
- Review faults and downtime by frequency, duration, and lost energy.
- Discover components with early-stage and advanced failure risks.
- Create configurable dashboards to track environmental conditions and asset-specific data.
Watch our webinar: Strategies for Optimizing Renewable Asset Reliability and Performance
Forecast energy production, demand, and pricing
SparkCognition Industrial AI Suite for Renewables provides AI-enabled predictions to forecast power production, demand, and pricing to help you meet regulatory requirements.
- Track multiple types of availability agreements with energy- and time-based forecasting.
- Forecast real-time grid operations, turbine control, load dispatch planning, energy trading demand, and pricing.
- Proactively make online and offline generating decisions, set reserve requirements, and plan O&M decisions around remaining useful life.
- Gain visibility into future spare parts needs and plan crane callouts earlier to avoid unnecessary costs.
Watch our webinar: Unleashing AI to Supercharge Renewable Asset Performance
Prevent failures and reduce O&M costs with predictive maintenance
Industrial AI Suite’s advanced anomaly detection and predictive analytics ensure timely maintenance action, minimizing component damage and reducing failure rates and downtime. Early problem detection enables maintenance staff to proactively plan, prepare, and avoid unexpected costs.
- Combine SparkCognition expertise, physics-informed models, and advanced AI to prevent failures and reduce cost.
- Extract maximum ROI from learnings captured by predictive analytics combined with prescriptive actions.
- Combine data from multiple assets with scalable and automated model building.
Watch our webinar: How Intelligent Renewable APM is Changing the Game
Turn data into valuable insights with self-service analytics
SparkCognition Industrial AI Suite makes any data in the platform available to create custom analytics reports. Analyze datasets including production, revenue, availability, fault data, maintenance costs and time, parts usage, and anomaly detection.
Advanced natural language processing technology allows you to retrieve data from unstructured sources to improve analytics and prescriptive insights.
- Generate time domain, scatter, fault, and downtime visualization plots.
- Create heatmaps.
- Plot and compare multiple assets or components to identify anomalies quickly.
- Use both preconfigured and user-defined analysis.
Watch our webinar: NERC Compliance—Best Practices in Solar GADS Reporting
Renewable energy asset performance management case studies
AI for Renewable Energy: Building a More Sustainable World
Detect yaw misalignment 80% faster with 96% accuracy to increase revenue by $45,000
Save $150K per incident by detecting pitch bearing issues up to six months earlier
Accurately calculating energy loss with corrective actions to increase profitability by 10%
How solar operators can reduce energy production loss caused by soiling
Why Industrial AI Suite for renewable energy asset performance management?
With over 4.5 GW of clean energy assets in use so far, SparkCognition Industrial AI Suite for Renewables—the world’s first AI-powered asset performance management platform for renewable energy—has increased its customers’ annual energy production from 2-5% and decreased O&M costs by 10%.
Industrial AI Suite for Renewables delivers proven, fully automated, cost-effective, and scalable capabilities to increase renewable energy production, reduce maintenance costs, and drive meaningful operational improvements.
Leverage the vast streams of data you already have to power advanced monitoring and insight generation, enable longer prediction horizons for maintenance and correcting underperformance, and attain highly accurate forecasting capability with SparkCognition Industrial AI Suite for Renewables.
