Redwood City‚ Calif. – November 5‚ 2015 – Enel SpA‚ a multinational power company serving 61 million customers‚ won the Global Smart Energy Elites 2015 “Digital Utility Transformation” award for using C3 Energy’s C3 Predictive Maintenance™ software application to advance network reliability and control grid maintenance costs. Winners of the Global Smart Energy Elite 2015 awards‚ announced by Metering & Smart Energy International at European Utility Week in Vienna‚ Austria‚ represent the best smart energy projects worldwide.

Enel is a major player in the electric power and gas markets of Europe and Latin America‚ operating in more than 30 countries across four continents with 96 GW of generation capacity. A pioneer in smart grid operations‚ Enel operates 1.2 million miles of electric and gas distribution networks‚ with more than 100‚000 remotely monitored and automated substations. With 80 percent of its infrastructure digitized‚ Enel has a world-leading automated distribution sensor and control network. Enel’s deployment of C3 Predictive Maintenance enhances its digital transformation‚ leveraging the company’s investments to further improve grid reliability and reduce maintenance costs.

“Enel’s efforts to address grid reliability with C3 Energy’s predictive maintenance platform is a prime example of a utility effectively executing its digital transformation strategy‚” said Claire Volkwyn‚ managing editor for Metering & Smart Energy International. “We are showcasing superb work being done by Enel and other utilities across the globe in leveraging the increasingly data-rich smart grid.”

Using Machine Learning to Predict Feeder Section Failure
Enel has always achieved high system reliability‚ with an industry-leading average annual interruption time (SAIDI score) of only 40 minutes per customer. Enel deployed C3 Predictive Maintenance across 16‚000 substations serving one million customers from a single control center in Italy. The deployment was designed for Enel Distribuzione to accurately predict faults on medium voltage electric distribution feeders across Italy. C3 Predictive Maintenance integrates data from 10 source systems: SCADA‚ maintenance work orders‚ fault protection‚ asset management‚ historical equipment failures‚ known network issues‚ power quality‚ lightning‚ terrain and vegetation‚ and weather. C3 Predictive Maintenance leverages more than 750 analytics to update the asset health score in real-time as data is received‚ and then uses a machine learning model to predict the probability of feeder faults and pinpoint their locations with increasing precision over time. With this information‚ Enel is able to conduct efficient inspections and proactively address possible problems‚ which will drive substantial savings for Enel.

“Enel is a smart grid innovator and a leader in renewable energy. The company continues to raise the bar in its digital transformation‚ which enables it to achieve its goals of greater reliability‚ operational efficiencies‚ and cost reductions‚” said Ed Abbo‚ president and CTO at C3 Energy. “It has been an honor to work with Enel as a technology partner in Italy and as the company expands these initiatives across its operations.”

The comprehensive Global Smart Energy Elite 2015 overview is available at