Smarter energy decisions with Spotfire
Integrated energy companies are exploring new opportunities to remain competitive in the evolving energy landscape. Global energy demand is expected to rise exponentially by 2050, driven by growing uses of AI, electric vehicles, and shifting market priorities. Now is a pivotal time for energy companies to stay ahead of these growing pressures.
Spotfire® visual data science combines advanced analytics with energy-specific data connectors, visualizations, and customizable extensions to solve energy's most complex business problems.
Visual data science for energy
Grid load forecasting
As renewable energy comes online, forecasting grid load and generation becomes exponentially more complex due to weather variability and distributed assets.
Spotfire enables visual, real-time exploration of historical consumption, weather data, and generation patterns. Using built-in predictive models and integration with Python/R, operators can forecast demand and renewable supply, identify peak load risks, and simulate “what-if” grid scenarios.
- Early failure detection
- Minimized downtime
- Optimal turbine configuration
- Increased energy output
Asset health & maintenance optimization
Utility-scale energy systems, like transformers, turbines, and substations, require proactive maintenance to prevent costly failures. But without a unified view of asset health, maintenance is often reactive or overly scheduled.
With Spotfire, you can visualize and analyze asset health KPIs, failure trends, and service logs. Combine real-time condition analysis (on variables like temperature, vibration, and load cycles) with historical data to optimize maintenance schedules.
- Minimized unplanned outages
- Extended asset life
- Smarter maintenance strategies
Failure prediction & performance optimization
As energy systems grow more complex, especially with distributed renewables and storage, predicting failures and optimizing performance becomes increasingly difficult without advanced analytics.
Use Spotfire to fuse time-series data, operational metrics, and external factors (such as weather or load demand) to detect anomalies, forecast degradation, and optimize performance. Run simulations and AI models to test corrective actions before implementing them.
- Fewer system disruptions
- Increased energy yield
- Continuous performance tuning across a variety of energy assets
Powering top energy organizations
Enel Group transforms with Spotfire for the digital energy era
END-TO-END process monitoring
Spotfire allows Enel to predict the needs of its customers, make faster decisions, and take faster action.

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AI-powered energy solutions
The future of AI for energy
Decarbonization, regulatory pressures, and market fluctuations are pressuring the energy and utilities industry to rapidly transform. Learn how AI and GenAI is changing the energy landscape—and how visual data science is at the forefront.
Spotfire partners with enterprises around the world
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