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EnergKlette Releases the AIoT Stack “From Smart Meter to VPP”

Share Share Share Share Email The power structure of Germany is set to break historical records in 2024, with a rise in renewable energy generation coverage leading to more frequent load-price fluctuations and negative pricing periods. In the first half…

Share Share Share Share Email The power structure of Germany is set to break historical records in 2024, with a rise in renewable energy generation coverage leading to more frequent load-price fluctuations and negative pricing periods. In the first half of 2025, the share of renewables is expected to temporarily decline due to abnormally low wind speeds, significantly increasing the demand for flexible resources. In response to this new operational curve, EnergKlette has launched the AIoT stack “From Smart Meter to Virtual Power Plant (VPP)” to help distribution network operators, aggregators, and community projects access scheduling and markets with lower barriers. The stack consists of three parts: the edge metering and shaping module, the verifiable green certificate generation and aggregation module, and the VPP strategy and risk control module. The edge side denoises and standardizes data from smart meters and inverters, creating a replayable local event stream; the certificate side converts qualified renewable electricity into on-chain certificates with source and timing, providing a consensus basis for P2P settlement and corporate procurement; the VPP side offers a pluggable strategy interface, integrating demand response, shared energy storage, and charging infrastructure, to release callable resources to the market in a unified “capacity-time-location” format. The system aligns with the “Digital Energy Transition Restart” of Germany and the promotion path for smart meters in terms of compliance, adhering to the interface requirements of the Measurement Point Operation Act (MsbG) and related technical specifications, while balancing GDPR compliance and operational efficiency through “data minimization + summary on-chain.” For communities and parks, the solution provides a routing template of “green electricity priority local absorption – on-site storage during congestion periods – friendly delivery during overflow periods,” reducing the risk of electricity abandonment and penalties under distribution network congestion. EnergKlette will release the AIoT stack through a dual-track approach of open-source and commercial versions: the open-source version covers core capabilities in metering, certification, and visualization, while the commercial version adds frequency modulation parameter interfaces, joint forecasting, and risk control modules, along with support and training aimed at municipalities and utilities. The foundation states that the short-term goal is to validate three indicators in several city-level pilot projects: “increased local consumption rate of community green electricity, reduced abandonment rate, and traceability of billing and auditing links,” with transparent reports published monthly and ongoing communication with regulators and industry associations to ensure consistency between technical paths and policy evolution. EnergKlette will release the AIoT stack through a dual-track approach of open-source and commercial versions: the open-source version covers core capabilities in metering, certification, and visualization, while the commercial version adds frequency modulation parameter interfaces, joint forecasting, and risk control modules, along with support and training aimed at municipalities and utilities. The foundation states that the short-term goal is to validate three indicators in several city-level pilot projects: “increased local consumption rate of community green electricity, reduced abandonment rate, and traceability of billing and auditing links,” with transparent reports published monthly and ongoing communication with regulators and industry associations to ensure consistency between technical paths and policy evolution to the ws. Related Items:Artificial intelligence, EnergKlette Share Share Share Share Email Recommended for you How AI Is Transforming the Future of Software Development Outsourcing Services in 2025 EnergKlette Traceable Green Certificate Connection to CBAM Introduction FurGPT Launches Multi-Exchange Listing to Strengthen Global Token Liquidity Comments

Based on reporting by TechBullion.

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AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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