Selling synthetic intelligence (AI) options within the vitality sector via a pan-European testing and experimentation facility.
The evolving vitality sector is more and more searching for AI options because the vitality panorama has reworked considerably in recent times. Speedy advances in digitalisation and AI are accelerating this shift, pushing stakeholders to reinforce their capabilities and embed AI into their operations and providers. As organisations navigate this digital transformation, the demand for trusted AI experience continues to develop. EnerTEF responds by growing a Knowledge Area–compliant, centralised entry market that integrates a number of thematic nodes throughout Europe, enabling the co-creation of dependable, validated AI options and bridging the hole between vitality stakeholders and AI consultants.
EnerTEF central platform
Inside the undertaking, a central platform acts as a one-stop store that connects vitality stakeholders with AI consultants. Power stakeholders publish detailed descriptions of the providers they want, along with the bodily and digital belongings accessible for experimentation, so AI suppliers can entry related knowledge, info and current instruments to develop options. Excessive-performance computing assets and an AI Workbench are made accessible to AI suppliers via the federated nodes, enabling them to design, run, and consider experiments inside the platform. All knowledge is accessed via a devoted Knowledge Area, making certain safe and clear trade and governance. On this approach, EnerTEF establishes a whole vitality and AI ecosystem the place stakeholders can join, outline collaborations and transactions, categorical enterprise wants, and validate AI providers, laying the groundwork for a centralised European vitality market.
Nodes and satellites
EnerTEF will likely be carried out in phases, beginning with an preliminary operational community that demonstrates the platform’s capabilities in actual circumstances. The primary phases give attention to validating the strategy, processes, and providers with a core group of amenities and stakeholders. The outcomes will help the platform’s wider business rollout and onboarding of further individuals. On this preliminary deployment, EnerTEF is structured across the following TEF nodes and satellites:
TEF RES
Within the TEF RES node, which leverages websites in Greece and Portugal, the main target is on harnessing numerous datasets from renewable vitality amenities. These embrace hydropower vegetation, PV installations, wind parks and offshore renewables, together with wave vitality era. Asset house owners use the node to specific wants that AI suppliers can deal with, similar to era forecasting, predictive upkeep, fault detection, monitoring, and operational optimisation. To speed up this work, current options and belongings originating from earlier EU initiatives, together with AI-based forecasting and time collection analytics instruments, are built-in into the EnerTEF market, supporting experimentation and serving to validate and examine service outcomes.
TEF EV
Constructing on an vitality neighborhood in Luxembourg, EV node develops and validates providers round a community of electrical automobile (EV) chargers. EVs have gotten a key asset inside vitality communities as a result of they introduce flexibility that may help native balancing, scale back peaks, and enhance the usage of domestically produced renewable vitality. The neighborhood additionally integrates complementary belongings similar to PV programs, wind parks, and battery storage, enabling built-in situations. Precedence providers embrace EV flexibility, optimising charging in opposition to renewable era and accessible battery capability, AI-enhanced multi-agent programs for Automobile-to-Grid purposes and EV-driven demand forecasting.
TEF TSO
Hosted in Slovenia, the TEF TSO node goals to reinforce the utilisation of current tools and assets by enabling structured collaboration with AI consultants. Its bodily and digital spine is the ELES Diagnostics and Analytics Centre, which brings collectively huge knowledge capabilities, superior analytics and robust technical experience. ELES and Elektro Gorenjska act as the top customers, representing the TSO and DSO respectively and actively contribute to the validation, demonstration, and fine-tuning of the developed AI providers. Precedence providers on this node give attention to energy administration, fault detection and identification, and transmission grid stability evaluation.
TEF DSO
The TEF DSO node focuses on growing AI options that help distribution grid providers for monitoring, management, and automation. Primarily based in Germany, it leverages a real-time digital simulation setting that may generate high-quality artificial knowledge, enabling fast growth, testing, and validation of providers even when discipline knowledge entry is constrained. This setup helps use circumstances similar to grid state estimation and anomaly detection, fault localisation, predictive upkeep and operational optimisation, serving to DSOs consider AI instruments in a managed and reproducible setting.
TEF BUILD
The TEF BUILD node in Greece helps the digitalisation and vitality transition of the Municipality of Athens by leveraging constructing info, vitality knowledge and native belongings similar to PV programs and EV chargers. The main focus is on enabling a better, extra decarbonised municipality and serving to facility managers make higher choices that ship measurable vitality and monetary financial savings. Essentially the most wanted providers embrace AI-driven constructing consumption optimisation, monitoring and fault detection, predictive upkeep, and constructing self-consumption maximisation.
Hydrogen, trade, and district heating community satellites
The three smaller satellite tv for pc nodes, primarily based in France, Greece and Spain, give attention to AI providers for hydrogen vitality programs, trade, and district heating and cooling networks, respectively.
The TEF Hydrogen node helps the event of AI-driven vitality administration, management, and predictive upkeep providers, with emphasis on purposes in gas cell hybrid electrical autos and hydrogen-enabled microgrids. The TEF Trade node targets AI options for course of planning optimisation and sustainable provide chains, together with improved manufacturing scheduling and manufacturing course of modelling. The TEF District Heating Community node prioritises demand forecasting, vitality consumption optimisation and operational determination help, constructing on current DHN bodily infrastructure and digital twins that present the digital setting and knowledge wanted for experimentation and validation.
Affect on the vitality sector
EnerTEF accelerates Europe’s vitality transition by turning actual stakeholder wants into trusted, validated AI providers. It reduces time to deployment, strengthens interoperability and cybersecurity and allows cross-border collaboration, serving to AI options scale throughout the vitality worth chain. It additionally creates a repeatable pathway for broader adoption by integrating new stakeholders, nodes and market-ready providers over time.
Please word, this text may also seem within the twenty fifth version of our quarterly publication.
