Spotfire® for Energy & Utilities

Fuel energy innovation with visual data science and AI

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

Screen with line graph icon

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
Graph with sun and energy icon

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
Triangle hazard sign

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 company logo

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.

Read customer story

Wind towers with sunset

Discover more resources

power lines at sunset
man at power plant at night
wind and solar farm
oil and gas wells at sunset
power plant
solar farm

Spotfire for Energy

Watch the video

Reuters Plus: Harness the power of visual data science in energy

Read the article

Revolutionizing industry visual analytics

Read the digital report

Stay ahead of the energy competition with visual data science

View the infographic

Smart Energy: Unlocking the power of visual data science for energy

Read the article

Hart Energy: Better energy results with Spotfire

Read the white paper

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.

Dive deeper into AI

Spotfire partners with enterprises around the world

Enertel logo

Enertel enables smarter energy decisions

Well spacing from public oil and gas data points across a basin of over 30,000 wells

S&P Global logo

S&P Global delivers data-driven customer value

80 percent time reduction for well attribute visualization and analysis

Ready for real-time insights for energy?