How can AI – which is still a very new technology for the energy sector – be integrated into an established energy ecosystem with its tried-and-tested system approaches? This question is answered by a new AI Energy white paper written by VDE’s standardisation organisation, DKE.
A regular participant in IFA Global Markets, the VDE-supported DKE German Commission for Electrical, Electronic & Information Technologies of DIN and VDE (VDE DKE) is the platform used by approximately 9,000 experts from industry, science and administration to develop norms, standards and safety regulations for electrical engineering, electronics and information technology.
The goals of standards include supporting global trade and also promoting the safety, interoperability and functionality of products and plants.
Artificial intelligence (AI) systems can improve efficiency, increase resilience and optimise supply continuity in the context of energy management and distribution networks and at power plants and end consumers. To produce the white paper on this important topic, DKE brought together experts in the fields of standards and AI.
They identified and classified more than 300 standards that could be relevant for AI solutions in the energy sector. The standardisation experts then created an architecture where norms and standards ensure the interoperability of the systems and processes. The AI developers contributed their ideas and applications to enhance the architectures.
“So the white paper not only provides an overview but also sets up the basis for industry and research to launch joint projects that will bridge the gap in standards between AI and energy or come up with completely new applications,” explains Dr. Matthias Uslar, deputy chairman and German spokesperson of the DKE “Smart Energy” system committee.
With the white paper, DKE aims to help interest groups to network in order to promote the secure digital transformation of the energy sector. “Standards are needed to make the development and use of AI solutions transparent and scalable in the first place, and so to promote general acceptance,” adds Jörg Schmidtke, chairman of the “Smart Energy” committee. One element of a standard is the definition of use cases. This method facilitates the mapping and comparison of processes.
The white paper is divided into four sections and presents potential applications from the energy sector in the context of AI. In the first section, the white paper investigates the possible uses of AI with respect to energy technology.
“After this, the expert teams for standards are introduced, as well as the present state of technology, i.e. the topic of digital architectures in particular. The third section presents the existing norms and standards in light of their potential relevance to artificial intelligence.
Finally, the last section looks at the next possible steps aimed at encouraging better coordination between artificial intelligence and energy. This represents a complete reinterpretation of sector coupling,” explains standards expert Dr. Uslar.
The “AI Energy” white paper is available free of charge (in German only) at DKE Whitepaper KI Energy.
Photo – top of page – Thomas Richter / Unsplash