Don’t make vegetation management decisions in the dark

Don’t make vegetation management decisions in the dark Read the blog post

Enhance asset reliability and availability

IBM Maximo® APM for Energy and Utilities includes an open, integrated platform and analytics tooling to provide a detailed understanding of asset and network performance.

Key capabilities of APM for Energy and Utilities

  • Pre-built data models and dashboards tailored to energy and utilities standards
  • Aggregate and analyze current and historical operational data to visualize asset health
  • Scoring models to help determine risk exposure 
  • Weather and cognitive APIs
  • Detailed historical and real-time analysis of wind farm assets

→ Read the solution brief (PDF, 335 KB)

Maximo APM for Energy and Utilities key benefits

Improve maintenance practices and plans

Analyze historical and real-time data to monitor asset health, warn of impending failure, and plan maintenance procedures and schedules.

Quickly assess risk and impact on grid

Use risk-exposure analytics to get information in the context of grid operations. Calculate potential impact to the grid by aggregating and analyzing asset performance data.

Understand assets in operational context

Understand the performance of individual assets within the network through relevant asset and operational data.

Prioritize maintenance and replacement

Enable operations, maintenance and finance personnel to make smart decisions about maintenance scheduling, asset replacement and infrastructure investments.

Optimize wind farm operations

Report historical, current and predictive insights for wind turbines and wind farms, and optionally incorporate weather data to optimize performance.

How customers use it

  • map analytics in webpage

    Connectivity model helps avoid manual verification


    Current methods of determining which customer is powered by which phase of which distribution transformer, as well as determining interconnections between laterals and transformers can be time-consuming and costly when conducted in the field.


    Patented linear analytics algorithm with accuracy greater than 90% utilizes smart meter data to identify which meters are connected to which electric phase and provide recommendations to fix connectivity records without need to send crews into field.

  • turbine interior infographic of analytics

    Wind farm performance and optimization


    To be economically competitive, the wind industry needs to embrace digital technologies in order to maximize the availability, reliability, and performance of wind farms and their assets.


    Wind360 provides situational awareness of wind farm assets using historical and real-time data, including weather. Monitor wind speed, blade angles, vibration, yaw speed, power AT, wind direction. Provide advanced warning of pending asset failure.


Next Steps

IoT for energy distribution

Want to know more?