Storm Preparedness


Emergency and Storm Preparedness is Critical for for Energy Utilities

Being prepared for the wide array of urgent issues and problems that can arise during severe weather and other emergencies is not easy for energy utilities. Their widely dispersed equipment and infrastructure creates many points of vulnerability and risk.

The typical utility uses some form of SCADA system to manage its power distribution equipment.  SCADA stands for Supervisory Control and Data Acquisition and is usually used to describe a system that includes data acquisition, monitor and control systems covering wide geographical areas. The label usually refers to the combination of data acquisition and telemetry.  Telemetry is an automated communications process where data is collected at inaccessible points and is then transmitted to receiving points of equipment for monitoring and management.

Managing the power network during emergencies will depend on ingesting SCADA data at speed and volume from monitoring devices at electrical transformer sites and transmission status on the grid is the first baseline step in the process.

This data then needs to be correlated with contextual data like maintenance history and equipment performance during previous storms or emergencies. Real-time situational data relating to stormy weather and equipment current status also needs to be integrated into the stream.

The data and process above sets the stage for the critical transition step in IoT Analytics for the emergency use case – anticipating equipment damage and service outages using predictive analytics – based on either historical analytics or machine learning.  In emergencies or storms, this usually means identifying failures in key generation or transmission assets.

The final step in executing IoT Analytics is to apply prescriptive analytics to determine the next best action to take.  This can be a wide variety of possibilities, examples could include:

  • Automatic re-scheduling of standard maintenance or repair routes
  • Dispatching a specialized service technician to solve a specific technical problem
  • Pre-positioning fields teams based on real-time storm conditions

The common theme for IoT Analytics for this emergency case is that it enables utilities to understand the potential impact of emergency events in real-time predict possible outcomes, and act quickly to mitigate problems and avoid outages.  It enables continuous service and preservation of business value.


Learn more

Learn more about how IoT Analytics are: