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.
The DGAP Distribution Services include Regulatory Announcements,
Financial/Corporate News and Press Releases.
Archive at www.dgap.de
Language: English
Company: E.ON SE
Brüsseler Platz 1
45131 Essen
Germany
Phone: +49 (0)201-184 00
E-mail: info@eon.com
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)
