E.ON SE: Artificial intelligence warns of potential power failures

Dow Jones received a payment from EQS/DGAP to publish this press release.

DGAP-Media / 2018-05-24 / 11:13 
 
*Artificial intelligence warns of potential power failures* 
 
Eliminating faults in the electricity grid long before they can occur: this 
is made possible by the use of artificial intelligence based on a technology 
developed in its present form by E.ON. It is now being used by 
Schleswig-Holstein Netz AG, a German grid operator belonging to the E.ON 
group. Combining comprehensive data analysis with a self-learning algorithm 
now makes it possible to predict faults and failures in the electricity grid 
much more reliably than before, and to take appropriate action much earlier. 
 
E.ON has been using this method in Schleswig-Holstein Netz AG's 
medium-voltage grids for around nine months. And the results are 
astonishing: "The probability that we can predict a defect in the power grid 
has increased by a factor of two to three," explains Thomas König, 
responsible for E.ON's German grid business. "And our customers benefit as 
well because possible sources of error that we identify in advance reduce 
the number of faults and make our grid more stable." 
 
The new forecasting approach, also known as predictive maintenance, uses a 
variety of internal and external data such as the age and type of the power 
lines, maintenance and weather data as well as real-time information such as 
the current load behavior. The resulting forecasts open up completely new 
possibilities for the maintenance of the network infrastructure. 
 
By identifying potential sources of failure, the number of faults and 
failures can be reduced because the sources of a defect can be eliminated 
before the predicted failure occurs. For this reason, around a dozen 
maintenance projects in Schleswig-Holstein Netz AG's grids were brought 
forward in recent months. 
 
The new technology also improves planning for grid construction projects, 
which benefits municipalities in particular. For citizens and communities, 
improved maintenance means a reduction in construction activities and 
earthworks for repair purposes. For the company itself, it offers the 
prospect of allocating budgets and planning investments much better in 
advance. 
 
In recent years, E.ON has continuously improved the security of supply in 
its networks. At Schleswig-Holstein Netz AG, for example, the average 
downtime in 2016 was just 8.85 minutes, around a third lower than the 
nation-wide average of 12.8 minutes. 
 
This press release may contain forward-looking statements based on current 
assumptions and forecasts made by E.ON Group Management and other 
information currently available to E.ON. Various known and unknown risks, 
uncertainties, and other factors could lead to material differences between 
the actual future results, financial situation, development or performance 
of the company and the estimates given here. E.ON SE does not intend, and 
does not assume any liability whatsoever, to update these forward-looking 
statements or to align them to future events or developments. 
 
End of Media Release 
 
Issuer: E.ON SE 
Key word(s): Energy 
 
2018-05-24 Dissemination of a Press Release, transmitted by DGAP - a service 
of EQS Group AG. 
The issuer is solely responsible for the content of this announcement. 
 
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Archive at www.dgap.de 
Language: English 
Company:  E.ON SE 
          Brüsseler Platz 1 
          45131 Essen 
          Germany 
Phone:    [phone] 
E-mail:   [e-mail] 
Internet: www.eon.com 
ISIN:     DE000ENAG999 
WKN:      ENAG99 
Indices:  DAX, EURO STOXX 50 
Listed:   Regulated Market in Berlin, Dusseldorf, Frankfurt (Prime 
          Standard), Hamburg, Hanover, Munich, Stuttgart; Regulated 
          Unofficial Market in Tradegate Exchange 
 
End of News DGAP Media 
 
689183 2018-05-24 
 
 

(END) Dow Jones Newswires

May 24, 2018 05:13 ET (09:13 GMT)