Tackling the
energy Transition

AI for Power
Grid Operators

Measurement Data

Preparation of
Grid Models



The Digitalisation of the Distribution Grids Starts with us

The energy transition takes place in the distribution grid. With our know-how in energy systems, software and AI we create the foundation for distribution grid digitalisation.

Artur Löwen, CEO and Founder

Observability in Distribution Grids

Full grid transparency at the lowest cost

Preparation of Grid Models

We prepare the grid models so they can be used for following processes. The result is a computable grid model in CGMES format, the digital (grid) twin.

Utilising Measurement Data

The Gridhound software analyses your measurement data and checks for errors and inconsistencies. Measurement data is an essential element for further digital processing, e. g. also for state estimation.

Optimal Measurement Placement

Based on information theoretical methods, our software determines the grid points with the maximum information density. This allows the minimization of required hardware and ensures an optimum selection of the measurment points, also taking into account economic aspects.

State Estimation

Our AI system is able to learn the behaviour of the distribution grid and to estimate the electrical parameters at all other network elements on the basis of very few measurement points. This enables us to establish complete observability in the distribution grid.


Our patented AI processes form the core of our product suite Graice
(GRid Artificial Intelligence Computing Engine).


Our product suite Graice is constantly being improved in cooperation with our customers.

Research Projects

We also grow our solution in research projects, including here:

SOGNO (Service Oriented Grid for the Network of the Future) aimed to develop a cost-effective automation solution for distribution system operators to fully monitor and control the infrastructure.
Learn more.

The objective of ADMS (“Advanced Distribution Monitoring System”) was to develop a modern advanced distribution monitoring system.
Learn more.

The RESERVE project has developed and tested new technologies that allow a stable supply from renewable resources.
Learn more.


Exciting tasks in an innovative team:

#Energy Transition

Do you have solid programming experience, ideally with Python, and do you implement algorithms and data structures with confidence? Your heart beats for clean code and an agile approach?

We are looking for you.

#Smart Grid
#Distribution Grid
#Power Systems

You have successfully completed your Master in Electrical Engineering with a focus on Electrical Power Engineering? You have a good understanding of grid calculation, grid simulation and grid components?

We are looking for you.

#Energy Transition
#Python #Distribution Grids

We are looking for Student Assistants (f/m/d) as Software-Developers Back-End and as Electrical Engineer – Power Engineering.

We also support master theses and industrial internships.


Gridhound is a start-up / spin-off of the RWTH-Aachen and the E.ON Energy Research Center. We offer a solution for an innovative and cost-effective monitoring of power distribution grids.

With the machine-learning approach to monitor and estimate the status of the medium and low voltage grid in real time, Gridhound actively accelerates the energy transition and enables distribution system operators to proactively avoid problems and optimize grid operation.

Distribution network operators worldwide are facing the challenges of integrating an increasing number of renewable energies while at the same time the consumption also changes, e.g. by the increasing electrification of transport and heating/cooling – never risking network stability.
As a team, we target this challenge by combining the know-how and agile approach from software development with the development of energy systems.


CEO, CTO and founder Artur Löwen has more than 15 years of experience in software development, e.g. for database-based CAD applications (such as Helios3D) and 3D visualization, of which he has worked more than 7 years in the energy sector.

The idea for Gridhound originated during his work at the Institute for Automation of Complex Power Systems at the E.ON Energy Research Center of RWTH Aachen University, when a European distribution network operator postulated the need for affordable capacity management for medium- and low-voltage grid monitoring. This input, coupled with the resulting implications for the future viability of the networks, led to the idea of ​​transferring machine learning methods into network operation, thereby addressing the challenge of distribution system operators with an absolutely innovative approach.
Two years later, after intensive research, planning and a proof of concept in the form of a dissertation, Gridhound was launched.

Professor Antonello Monti is the head of Institute for Automation of Complex Power Systems of the E.ON Energy Research Center at RWTH Aachen University.
For Gridhound he acts an idea provider, visionary and consultant/adviser and shares a deep connection with Gridhound.

Nicole Zeidler acquired extensive along with international expertise in the setup, marketing and successful sale of complex products and services in her previous employments in private companies and public services. Her skills in Business Development, Marketing and Sales form a valuable link between man and technology.


Gridhound SPARK Digital Event

SPARK claims to be the world’s most exciting future energy event. “Where disruptors and innovators spark new thinking. Where fresh business models are created. And where the leading minds of old and new energy – from the old and the new…

Financing round with increased shared capital

Gridhound secures financing from a Hamburg family office, additionally increasing the participation of existing investors. The energy and AI start-up acquires half a million euros to support the energy transition in the distribution power grid. Aachen,…

Gridhound at FEIN Colloquium on March 4

The association „Förderer der Energie- und Informationstechnik für zukunftsfähige Netze Aachen e.V. (FEIN Aachen e.V.)“ aims to promote science and research in the area of energy and information technology for sustainable grids. We…

E-World 2020 – Visit us in hall 4 (#4-701)

In 2020 we will continue our mission to enable observability in the distribution grid through the use of artificial intelligence. For the first time, we are also exhibiting our topic with our own stand (Hall 4, 4-701) at E-World (Essen) -…

Book Project “Realization Utility 4.0 Volume 1 and 2”

The article of Dieter Keller-Giessbach and Artur Löwen on the potential of using AI in the distribution grid - making grid monitoring more intelligent at low cost Further links: Utility 4.0 on Xing: https://www.xing.com/communities/groups/utility-4-punkt-0-d52b-1088298/posts Utility…

Gridhound: Finalist at the UK Energy Innovation Awards 2019

We are delighted to have been named a finalist at the UK Energy Innovation Awards 2019 in September. Congratulations to all winners.

IP Transfer from RWTH to Gridhound

IP transfer from RWTH to Gridhound - enabling Gridhound to go beyond Smart Grid. We are proud to announce that on 5th of July we signed a license agreement with RWTH Aachen. We would like to thank the team of #RWTHInnovation, Dr.-Ing.…

Rockstart Smart Energy Accelerator

Gridhound is part of the Rockstart Smart Energy Accelerator Program! The official nomination of this year's participants is still pending, but we are pleased to announce in advance that we will be there. About Rockstart Rockstart was founded…

Upcoming event:
Grid Awareness –
Applied from copper to cloud

Description Distribution network operators are facing the challenges of integrating an increasing number of renewable energies. At the same time the raise of electrification of heat and transportation is changing people´s consumption habits,…


You can revoke your consent at any time.
Further information can be found in our data protection declaration.

This website uses cookies to ensure the best possible service. By visiting this site, you consent to the use of cookies. This setting can be revoked at any time in the personal browser settings Privacy policy

Die Cookie-Einstellungen auf dieser Website sind auf "Cookies zulassen" eingestellt, um das beste Surferlebnis zu ermöglichen. Wenn du diese Website ohne Änderung der Cookie-Einstellungen verwendest oder auf "Akzeptieren" klickst, erklärst du sich damit einverstanden.