It can be challenging to coordinate the flow of information among utility departments in the face of a severe weather event. Storms are becoming more prevalent and severe because of climate change, and teams must collaborate to deliver accurate and prompt communications to customers.
The first step is to have a crisis communications plan in place. Supporting your plan with predictive data analytics, delivered by E Source Data Science, can help with:
- Decision-making
- Message accuracy and timeliness
- Resource planning
And adding market research data, software tools, and guidance from the E Source Corporate Communications Service can help your operations and communications teams deliver more-effective outage communications to affected customers.
Customers want utilities to improve reliability and outage communications
According to data from the E Source 2023 Business Customer Satisfaction Study, “Provides reliable energy” and “Effectively communicates during energy emergencies” are two of the most important attributes large business customers look for in their utility. But our data shows gaps between how important those attributes are to customers and the utility’s performance in those areas. Our research on small and midsize business customers showed similar trends. These gaps highlight an opportunity for utilities to improve their outage communications with these customer groups.
Utility attribute gap analysis
Utilities can also improve their outage communications with residential customers. Data from the E Source US Residential Customer Insights Center shows that only 40% of electric and gas customers strongly agree that their utility communicates effectively.
Residential customers’ perceptions of the effectiveness of their utility’s communications
Electric or dual-fuel customers
Gas customers
Collaboration between operations and communications teams is the key to an effective storm response
While the operations team is working to restore customers during an energy emergency, they don’t always have a plan for keeping the communications team updated on their progress. They may not know when they’ll be able to safely restore power or how to distribute resources to help the most customers, so they don’t provide prompt updates. This ambiguity leaves customers confused and frustrated. The faster and more accurate your outage communications are, the more satisfied your customers will be.
Imagine if your operations teams could provide best- and worst-case outage scenarios in advance of storms so that the communications team could message customers quickly and accurately. With the E Source Storm Insight solution, utilities can predict storm-induced outages and plan where to send crews to streamline restoration efforts. The AI-powered tool combines your utility’s unique data, including outage history and infrastructure, with E Source’s own derived data layers for spatial and vegetation conditions, as well as industry-leading weather forecast data. Learn more about Storm Insight in our blog post How Hurricane Idalia can inspire utilities to take a data-driven approach to outage prediction.
Sample predictive analytics data from the Storm Insight tool
How Alabama Power uses Storm Insight
We spoke with Shane Powell, data analytics and innovation manager at Alabama Power, about how the utility uses Storm Insight. Alabama Power experiences about 70,000 outages annually, with the average outage lasting 2 hours and 20 minutes. During significant storm events, outages can last much longer. During storms, the utility uses Storm Insight to estimate the personnel and time it needs to repair damage and restore power.
The collaborative relationship between Alabama Power and E Source has helped evolve the analytics over time. The analytics have shifted from using historic averages of restoration rates per personnel to the current-state data science model. The current-state model quantifies dynamic effects to promote more-accurate ETRs.
Alabama Power has been capturing “gut feel” ETRs from local general managers and comparing those with the model’s outputs. The predictive model is currently 85%–90% accurate, while instincts can be wrong by a factor of days.
Optimize customer communications. The next step in optimizing Alabama Power’s storm response will be using Storm Insight predictions to inform customer communications. Alabama Power currently enrolls customers in outage text messages sent via an in-house outage management system interface. But the utility uses gut-feeling ETRs to inform those messages. The communications team is continually refining predictions and sending updates to customers. It’s easy to overwhelm customers when ETRs are constantly changing. Powell hopes to harness the power of data science to improve the outage customer experience—Storm Insight is 95% accurate within an hour of the storm.
According to Powell:
Customers get to the point where they don’t care. They want to know the real answer at the outset and then when the lights are back on. If we tell them it will be 48 hours, they don’t mind if it is 46 or 42 hours. Customers want to know more about blue sky days when lights go out. That is when they care about if it is going to be 30 minutes or 3 hours so they can figure out whether to eat out or whether they can just delay their next meal.
Improve response and resource planning. Another goal for Alabama Power is to roll out Storm Insight across the organization to help with storm response planning. The first 85% of restoration efforts usually happen quickly after a storm. But as most utilities do, Alabama Power saves the hardest hit cases for when it has the most resources. Storm Insight can help the utility organize its resources most effectively to restore that final 15% of customers.
The tool also helps Alabama Power avoid public relations issues related to storms and resource planning. Having accurate predictions improves the utility’s resource planning accuracy. Suppose a major weather event occurs and the utility isn’t prepared. In that case, it has to ask for additional resources and restoration takes longer.
If the utility predicts a massive event and nothing materializes, the public criticizes the big bill produced by a small storm. But the worst-case scenario is when there’s a big bill and a long outage. Alabama Power uses the Storm Insight tool to show historical storm data and how that informed the utility’s decision-making process.
To learn more about how utilities use data to prepare their teams for storm season, watch the recording of the E Source webinar Storms are coming: The power of predictive analytics for storm response, restoration, and outage communications.
How you can coordinate restoration with communications
Pairing Storm Insight with a comprehensive crisis communication plan will help your utility effectively communicate during energy emergencies and meet or exceed customers’ expectations.
We recommend reviewing your crisis communication plan with other utility departments. This will help coordinate your approach to restoring power and keeping customers informed. Include the following strategies in your outage communications plan.
Start by sharing information on emergency preparedness with customers. Help them understand what they can do to prepare for severe weather events. For example, explain how to create an emergency kit, craft a family communication plan, and stay informed.
Form local partnerships. Build trust and make sure your communications reach the right customers by working with community groups to align your messaging. Important partners include local community organizations and emergency management agencies.
Prepare key messages for utility leadership and contact center staff. Make sure senior leaders are prepared to discuss all possible scenarios with employees, customers, and the media. And give your contact center staff the same key messages and information they can share with customers.
Prepare your lineworkers to interact with customers. During a severe weather situation, lineworkers are often the face of your utility to customers. Make sure they understand not only how to be technically proficient but also how to help customers who are upset or frightened.
Evaluate the effectiveness of your outage communications with your operations team. After a storm occurs, review what worked well and what you can improve in your response to the emergency. Plan for how your teams can collaborate more effectively in the future.
