Eneryield is developing state-of-the-art machine learning methods for intelligent analytics of power quality, based on several years of research at Chalmers University of Technology.
The methods are capable of classifying and finding the root-cause of power quality events, which gives the necessary information to take action and mitigate disturbances, leading to reduced energy losses, reduced wear and tear of components and less stops in production.
They can also model the power grid, which makes it possible to predict power quality events and variations. This is used as a control component to make power electronics react in real-time with increased efficiency.
The methods are capable of classifying and finding the root-cause of power quality events, which gives the necessary information to take action and mitigate disturbances, leading to reduced energy losses, reduced wear and tear of components and less stops in production.
They can also model the power grid, which makes it possible to predict power quality events and variations. This is used as a control component to make power electronics react in real-time with increased efficiency.
Location: Sweden, Gothenburg
Employees: 1-10
Investors 2
| Date | Name | Website |
| 27.07.2022 | Techstars | techstars.... |
| - | Chalmers V... | chalmersve... |
Mentions in press and media 4
| Date | Title | Description |
| 28.05.2024 | Startup Eneryield secures additional seed funding | Startup Eneryield secures additional seed funding Tue, May 28, 2024 10:00 CET Report this content Eneryield receives investment from ABB and Chalmers Ventures To bring to market an innovative solution that helps to predict evolving faults a... |
| 28.05.2024 | Eneryield raises Seed funding to predict power outages | Swedish energy tech spinout Eneryield have raised Seed funding of an undisclosed amount to prevent power outages in peoples’ homes by predicting faults. Will the fund, they will develop the product for market release. Capital was provided b... |
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