Why using data-driven weather intelligence and machine learning is helping utilities make agile, confident decisions to mitigate disruption.
Decoding Weather Data for Strategic Decision-Making
Why using data-driven weather intelligence and machine learning is helping utilities make agile, confident decisions to mitigate disruption.
Utility companies can learn the lessons from how storms have disrupted supply in the past. We look at 2023’s biggest ice storm an explain how this event can be used to inform future resilience planning.
How utility companies can improve preparedness for the challenges of prolonged cold temperatures by looking at a past example.
Due to the significant impacts, hurricane seasons are met with concern and uncertainty. Learn about the 2023 season and recent trends around intense storms.
The solar industry is growing, and with it, the potential for weather risks. Find out how Lightsource bp uses weather intelligence to reduce hailstorm loss.
From record heat to floods, climate change is increasing challenges for German utilities. Learn how technology improves responses up to seven days in advance.
As utilities face growing weather impacts, data technology can provide valuable outage insights for targeted, proactive response planning.
Hail is costly to the solar industry, with the potential to cause millions of dollars in damage. Learn four weather-related approaches to reducing risk.
Storm Impact Analytics from DTN delivers advanced outage prediction data and technology to support improved planning and decisioning during weather impacts to power grids.
Learn key takeaways from the Future of Utilities Summit, where discussions focused on the need for resiliency and the power of data and digitalisation.