CEO, Ebrahim Balouji (Ph.D, Ph.D), showcased how Eneryield’s IntelliView has proven its impact by predicting power outages in power systems. We would like to thank ABB for the opportunity to present and we look forward to supporting the power grid expansion journey, allowing operations to proceed without disturbance.

"The reason why I chose to study marketing was to have the opportunity to work with a company and a product I truly stand behind
– and I am thankful to be given the opportunity to do just that.

I believe Eneryield's product, IntelliView, has the ability to revolutionize the reliability and sustainability of power infrastructure. With the increased demand for electricity and the more intermittent nature of renewable energy, this is a product that will come to facilitate this change, to meet new environmental goals.” 

Seed Europe writes "Eneryield, a Swedish energy tech spinout, has successfully raised seed funding from ABB and Chalmers Ventures to enhance their predictive technology for power outages.

Founded in 2019 by Johan Rådemar, Ebrahim Balouji (Ph.D, Ph.D) and Karl Bäckström (Ph.D.), Eneryield specializes in reducing unplanned outages through advanced fault prediction integrated into existing electrical systems. Their software, Intelliview, does not require additional hardware, making it a seamless addition to current power networks. Available for both cloud and on-premises deployment, Intelliview is poised to transform grid maintenance and reliability, offering early warning capabilities to prevent faults and reduce operational costs for utility and industrial customers."

Read more here

Eneryield makes the Swedish Climate Startup Map list

"Later this spring, I will defend my PhD thesis on probabilistic machine learning. My research has been focused on developing theory and methods for combining deep learning with probabilistic graphical models. I am somewhat of a novice in the electrical power engineering field, but I expect to find many applications for my research here, especially in terms of explainability, unsupervised learning, and learning from noisy labels.

Despite having quite different research topics, co-founder Ebrahim Balouji and I used to share an office as PhD students and I am thrilled to be doing so again, this time working together for real."

Both Elias and Valter come from Chalmers University of Technology, having bachelor's degrees in Engineering Physics, and are now completing their master's degrees in Engineering Mathematics and Computational Science and Systems Control and Mechatronics, respectively. Their master's thesis, titled "Automatic Extraction of Power Quality Features in Three-Phase Systems Using Autoencoders" explores the innovative use of autoencoders in the power sector.

Gustav also studies at Chalmers University and has a bachelor's background in Software Engineering, but is now studying a master's degree in Data Science and AI. His master's thesis title is "AI Time Series Forecasting in Electrical Power Systems Using Attention Based Models", and focuses on utilizing attention-based models for time series fault predictions.

We welcome Elias, Valter, and Gustav to our team and are excited about the innovation they bring!

"Sweden-based startup Eneryield is using AI to detect signal anomalies in undersea cables, predict equipment failures to avoid costly repairs and enhance reliability of generated power." - states NVIDIA.

The implementation of explainable AI is helping accelerate the clean energy transition. "By optimizing solar and wind farms, simulating climate and weather, modernizing power grids, capturing carbon, and advancing fusion breakthroughs" with AI, we are able to facilitate the expansion of renewable energy. 

Read the full article here and view NVIDIA's video featuring Eneryield Powering the Future of Clean Energy here

Eneryield presents at CIRED 2023

The New York Power Authority (NYPA) is launching a demonstration project with a Sweden-based technology company to explore the use of artificial intelligence as part of a long-term upgrade strategy for the Y-49 Long Island Sound Cable that transports power from Westchester to Long Island.

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The Electric Power Research Institute's (EPRI) Incubatenergy® Labs program recently announced the selection of Eneryield of Gothenburg, Sweden as one of 20 startup companies that will conduct accelerated demonstrations of their technologies with utilities and EPRI as part of Incubatenergy Labs 2021 Cohort.

Read also:
The NYPA News Release
It Talk News Article
Final Project Report

Eneryield wins the SKAPA innovation award

Karl Bäckström Co-Founder of Eneryield states "We can not describe how proud we are to be selected in this tough competition. This gives us the opportunity to speed up development and accelerate the transformation towards a more electrified society"

The jury highlighted the relevancy of Eneryield's innovation in a world where the demand of electricity is rapidly growing and how it suits the Sustainable Development Goals (SDGs).

See more from the SKAPA innovation 2020

Ebrahim, one of the brains behind Eneryield's technology, explains their solution

The world is becoming more digitized and power systems are following the trend. As more sensors are deployed in the power grids, the amount of data collected is also increasing. This creates great opportunities to add value by analyzing data in more sophisticated ways, for example by using novel machine learning methods. These have become suited to analyze power grid data as the availability of computational power, data storage and communication have improved recently. Benefits created revolve around energy efficiency, reliability and predictive maintenance.

Ebrahim Balouji has developed new, state-of-the-art deep learning and machine learning methods to analyze signals related current and voltage. He is currently doing his second PhD within Signal Processing at the Electrical Engineering department at Chalmers University of Technology.

“Machine learning makes it possible to utilize the large amounts of data available on the power grids to extract valuable insights, which can give power grids a higher performance and make them more effective,” Ebrahim says.

By using supervised and unsupervised deep learning techniques, Ebrahim’s methods can classify power quality events and earth faults to identify their root-cause and the direction with a very high accuracy. This process usually requires manual effort and expertise in the field, but Ebrahim’s work shows that this process could be automated with improved accuracy.

This is one important cornerstone in Eneryield’s work to deliver an accurate model of the power grid at any location and point in time. By pinpointing weaknesses in power systems, it is possible to strengthen them and improve security of supply and energy efficiency. Ebrahim has also classified and analyzed partial discharges with impressive results, which is used to estimate the lifetime of electronic devices, such as motors, to understand when maintenance is needed.

The ability to predict power quality events and variations, like harmonics and flicker, is another one of Ebrahim’s findings. This research has been performed together with his fellow colleague Karl Bäckström, who also doctorates at Chalmers. In order to predict power quality, special pre-processing methods for the signal are used. The developed method resulted in the possibility of predicting power quality events and variations upto desired horizons. Applying this innovation in for example active power filters, devices used to compensate power quality disturbances, could reduce their current delays. This would make them act in real time with a higher efficiency and improve the power quality in affected areas.

See Ebrahim Balouji’s publications here.

The power quality consultancy Unipower and Eneryield are now offering a new report for power quality analytics based on Ebrahim’s research. The machine learning based insights delivered in the report makes it possible for power utilities to improve the reliability and efficiency of their power systems.

Say hi to Matilda!

Eneryield is forming a collaboration with the power quality and smart grid specialistsUnipower. The purpose is to implement Eneryield’s machine learning methods for intelligent analytics of power quality in Unipower’s supervision system.

Eneryield’s technology, developed by the Chalmers University of Technology researchers Ebrahim Balouji and Karl Bäckström, are capable of automatically classifying and suggest the direction of disturbances with a very high accuracy. The brand new functionality of finding the root-cause of a disturbance will also be enabled, making it easier to decide who is responsible for it or to mitigate it.

By being able to train and use Eneryield’s machine learning methods on the large amount of power quality data that Unipower has access to, both parties add a unique contribution to the collaboration. This combined strength creates opportunities to launch the next generation of data-driven and self-learning power quality supervision, which is necessary to accelerate the transformation towards a more electrified society.

Unipower will initially offer the functionality as a report that can be generated in their supervision system PQ Secure.

This EU initiative enables us to further verify the impact our machine learning based methods could have on the climate and strengthens our vision of accelerating the transformation towards a more electrified society.

The other startups in the Spring 2020 batch of the accelerator are: Future Closets, GreenStock, Helios Innovations, Lupinta™, Manna Insect, Nature Preserve, Ocean Oasis, Snömoln and Tebrito

During the HUB2019 conference ABB and Mälarenergi AB invited 19 finalists to compete in a dragon’s den where each company got to pitch either in front of a jury from ABB or Mälarenergi AB. Later two from each group were chosen to pitch during the dinner where the winner also was chosen. We at Eneryield feel humbled and cheerful to say that we ended up as one of the two winners and now look forward to conduct a collaborative project where we further prove our intelligent control of power electronic devices.

HUB2019 is a conference where the leading voices and decision-makers share their most important insights about a sustainable energy system and the global structural transformation that Swedish business is undergoing.

See ABB's Linkedin post

This year 93 startup companies got to share SEK 28 million. An important focus are innovative startups focusing on tech and with the ability to contribute to UN’s sustainable development goals. Eneryield were one of the startups fulfilling these criteria and receives funding for a project that shall contribute to Eneryield's company building.

As an early stage company, Eneryield needs to verify its technology with potential customers, develop a first prototype and strengthen its control position by developing an IP strategy. The contribution from Vinnova will be to significant help to achieve such.

Read the full statement here

“Stödet gör det möjligt för unga företag med riskfyllda projekt att prova sina idéer och komma en bit på vägen att hitta en investerare, kund eller partner.”

– Emelie Falk, ansvarig för utlysningen på Vinnova. 

Tänk:Om is part of Göteborgs Energi’s extensive work on sustainability and environmental issues. Every year the stipend Tänk:Om is awarded to sustainable ideas, which contributes to the UN Sustainable Development Goals. This year, together with CarbonCloud and the podcast “Rösta med plånboken”, Eneryield was elected as a winner by the jury.

Venture Cup is an annual competition for startups, and the 2019 edition was held in Gothenburg. The competition consists of five prize categories, namely Impact Maker, Game Changer, Best Traction, Student Superstart and Startup of the Year, where Eneryield was awarded the Impact Maker award. The jury agreed that Eneryield’s solution has huge potential, and could make a big impact from a sustainability perspective. Eneryield’s solution implies a reduction of carbon dioxide emissions as well as kWh consumed.

Johan at Eneryield pitching at Venture Cup.

VGR offers co-financing to small and medium-sized companies (SMEs) who drive digitalization, innovations, globalization, research and renewal. VGR prioritize investments that are ecologically, socially and financially sustainable. Eneryield was elected for their sustainable potential, when benefitting the UN Sustainable Development Goal number 7: “Clean and affordable energy”. The loan granted will be helpful while continuing developing the company.