Artificial intelligence for the energy industry

Discover innovative next-generation AI solutions for the energy industry!

How can your energy company benefit from the current AI revolution?

Be a pioneer in the energy industry and shape a sustainable, efficient and customer-oriented energy future with the help of artificial intelligence! With our experienced team of data scientists, we at scieneers are happy to make our contribution to digitalization in the energy sector and support you with our experience from numerous innovative data projects.

Generation

Transformer models, such as the Temporal Fusion Transformer (TFT), can increase the accuracy of your forecasts required for efficient plant operation and also provide significant added value in the context of predictive maintenance and anomaly detection. In doing so, TFTs offer the highest interpretability and enable the generation of high-quality forecasts even for plants with comparatively short data histories (“cross-plant” learning) via so-called data fusion.

Example: Anomaly detection for wind turbines

Transmission and distribution

Complex processes, such as the grid connection process in the power grid, can be significantly accelerated through digitization – completely in the cloud if required – and using AI (e.g. for reading out documents, generating customer responses). AI can also be used for early detection of damages in your assets – novel transformer models such as Temporal Fusion Transformer (TFT) can add significant value here through increased accuracy and improved interpretability.

Example: Optimization of plant schedules

Energy trading

Benefit from more precise energy price forecasts and the fast inference of new transformer models such as the Temporal Fusion Transformer (TFT) – unlike many classic models, its inference is in the range of seconds and thus enables participation in intraday trading in 15-minute intervals. The schedules of your own power generation plants, which depend, for example, on load forecasts to be generated in real time, can also be optimized for intraday trading in this way.

Example: Heat forecasts for intraday trading

Sales and customer service

Speech models can support your sales and customer service, for example through personalized e-mail campaigns and telephone customer approaches (text-to-speech technologies). The use of vector databases enables speech models to access company-specific information in the process. ChatGPT is not an option for privacy reasons? Open source models such as Llama 2 can be retrained (“fine-tuned”) for your specific use case and operated locally.

Example: AI-based word processing

Inspired by the innovative possibilities of digitalization with AI?

Have you already identified a concrete use case for your company that you would like to implement with us? Or is it still a vague idea that we want to substantiate together?

No matter where you are at the moment, it is not difficult to get started with AI in your company. We will be happy to take you on a joint journey to unfold the individual advantages of AI.

Take the next step now

Transformer models conquer the energy industry

Natural language processing, machine translation, and image recognition are just a few application areas of transformer models – in the energy industry, these powerful AI models offer even more exciting possibilities and are often superior to classic models.

Cold-start mitigation

Data Fusion makes it possible to combine different data sources for model training. This helps to mitigate the “cold-start” problem (i.e. short data history for new assets). Instead of having to wait for a full season, data from existing assets can be used for new assets. Successes through initial reliable model results are achieved at an early stage.

Interpretability

Transformers are not black box models. On the contrary, they offer a very high degree of interpretability, giving decision makers insights into the underlying processes and crucial factors. This is how AI delivers comprehensible results.

Forecast quality

The transformer architecture enables optimized pattern recognition. Adaptive learning often allows energy demands, peak loads and renewable energy generation to be predicted more accurately compared to classical models. High model quality opens up numerous application possibilities.

Our joint roadmap

You want to exploit the potential of artificial intelligence for your company? We support you from generating ideas to productive implementation.

Start together now

Dream
Set a vision

Joint definition of the strategic goals of the AI project. Development of a clear vision for the solution that meets the needs and objectives.
Derive
Derive a concept

Analysis of existing data sources. Identification of relevant features to serve as the basis for the AI models and selection of suitable models.
Develop
Develop a product

Creation of a high-quality data basis. Development and training of the AI models as well as refinement of the models through iterative tests and optimizations.
Deploy
Provide a solution

Integration of the AI models into the existing infrastructure and processes. Establishment of continuous model monitoring as well as ongoing support, e.g., through training.

What our customers say

“In our project, the colleagues from scieneers were able to convince not only professionally but also humanly: Coupled with high motivation and a pinch of fun, this always leads to excellent results. Thanks for that!”

Benjamin ReinhardProduct development at Steag New Energies GmbH

“Thanks to scieneers, the runtimes of the ETL loading processes of a large application on AWS could be reduced from originally several days to a few hours in a short period of time, thus also significantly reducing the operating costs. scieneers integrated very quickly into our internal team as an AWS/Glue Spark Data Engineer and contributed significantly to the success here. Many thanks for the very good partnership.”

Andreas HeuerSenior Director IT Portfolio Management at CENTOGENE GmbH

“With scieneers, we have a highly competent and reliable partner with whom we have built our platform for data analysis. The dedicated team at scieneers also provides us with advice and support when it comes to more advanced biostatistics: this enables us to gain new and valuable insights into our biological methanation technology.”

Dipl. Ing. Birgit Lewandowski Director Development at Electrochaea GmbH

“The colleagues of our partner scieneers have excellent expertise and come up with solutions very quickly, which help us to further develop our BI systems in a stable and performant way.”

Jan DosterHead of BI, PMO & IT Service at SuperBioMarkt AG

“You are the most efficient meet’ers I’ve ever met…”

Dr. Laurent LardonSenior Process Engineer at Electrochaea GmbH

“The scieneers Power BI Advanced training was well organized and objective, including interactive discussions in which any questions have been addressed by the trainers in a very professional way. I would 100% do it again!”

Amr AshourSHARP BUSINESS SYSTEMS DEUTSCHLAND GMBH

“I’m impressed with how the scieneers colleagues got to grips with the problems in a very short time and helped us significantly improve our analysis results with creative approaches to solving them.”

Michael ScholzEnBW

“In scieneers, we have found a partner that understands our vision and is able to quickly and efficiently translate it into working solutions.”

Dr. Christoph TempichDirector Digital at von Rundstedt

“In the scieneers Power BI training, our colleagues got along very well and were able to take away a lot of new things. It was a complete success!”

Emilia BarberioBusiness Intelligence Project Manager at Kendrion GmbH

“With the scieneers, we implemented a very good solution quickly and pragmatically despite difficult environment conditions. Not only professionally, but also humanly, the scieneers show a lot of flexibility and customer orientation!”

Ali SalmanManager Global Reporting at Daimler Truck AG

“Agile development of analytics projects always requires a high level of trust among all parties involved. Here we have found a very committed partner in scieneers, who is able to always produce good customer-oriented solutions with its expertise as well as its open and pragmatic manner.”

Sascha BackProduct Owner at Prosoz Analytics

“Due to the trustful cooperation between the Jobcenter Ostalbkreis and the team of scieneers, the requirements of the political levels could always be realized. In the further project we will work together on the productive further development!”

Philipp PriemerLeiter Controlling at Landratsamt Ostalbkreis

“With the help of the MIP-Power BI Connector developed by scieneers, we were able to generate initial reports and dashboards for our store floors much faster. We particularly liked the fast and uncomplicated collaboration!”

Thomas von LonskiData Analytics Platform Manager at Schott AG

“Competent, motivated, flexible, human – these are the attributes I would use to describe the scieneers and the collaboration with them. I am already looking forward to the next project that we will implement with the colleagues.”

Dr. Christoph StockhusenHead of Data Platform at Otto Group data.works GmbH

“scieneers quickly understood our requirements and together we were able to efficiently implement the desired solutions and go live. The project with you guys was fun and successful!”

Rüdiger LangPrincipal at Consileon Business Consultancy GmbH

Looking for support? Contact us!

Our Director of Data Science
Dr. Lars Perchalla
will be happy to advise you in a non-binding initial consultation.

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