About the AISOP project

Creating an AI-assisted decision support system for electricity distribution system operators, underpinned by advanced digital technology, to drive decarbonisation. The project started on 1 May 2022 and runs until 1 May 2025.


AISOP’s overarching mission is to:

Create an AI-assisted decision support system to drive decarbonisation in electricity distribution systems.

AISOP’s solutions will:

Acquire, process, interpret and exploit data for the benefit of DSO operational planning, integrating AI/ML-based solutions, enhanced situational awareness, and market incentives.

The project will:

Increase grid observability by using data from multiple sources and in different time resolutions
Help DSOs operate the grid using data-driven decision support tools
Improve the efficiency of network operations
Reduce curtailment of renewable energy and distributed energy resources
Improve options for tariffs for prosumers


AISOP aims to create actionable, tangible and applicable outcomes for distribution systems with the goal to improve operational planning and support decarbonisation. The outcomes will take the following forms while insuring reproducibility, replicability and interoperability:

Methodologies & knowledge

Accessing and combining heterogenous, dispersed datasets

Developing grid situational awareness using edge and embedded network devices

ML-based risk analysis and risk quantification

AI/ML based identification of dynamic tariffs for congestion management


Data analytics (forecasting, local optimisation)

ML-based anomaly detection and fault prediction

Digital process twin for distribution systems

Embedded and distributed sensors for LV and MV networks


Dynamic tariffs

DSO congestion management

Fault detection and prediction

Operational risk management

Integration of community in trading platforms

Areas of innovation

AISOP will contribute to the green energy transition and energy decarbonisation by innovating in both the technological and operational fields. Key areas include:

Digital representation of DSO tasks

Acquisition and representation of end-user and network data in a digital process twin

Insights from data driven analytics

Use of edge analytics to reduce data transfer or centralisation

Privacy protection in data access and exploitation

Grid state forecasting based on temporally and spatially distributed data sources

Anomaly detection from available infrastructure such as smart meters

Market and tariff design for improved operational planing

Digital platform integration into operational planning and network management


AISOP aims to involve need-owners at both national scale as well as at the Europe-wide level. The main need-owners representing the potential users of the AISOP solutions are:

System operators (DSO, TSO)

Technology providers (e.g., digital platforms, sensors)

Prosumers and consumers of electricity

Energy Communities and Energy Managers providing services to the communities

Energy/flexibility aggregators, energy retailers

Building and Distributed Energy Resource (DER) owners

Environmental & socio-economic impacts

AISOP will bring the following beyond-tech benefits:

Reduction in DSO challenges through advanced analysis of DERs, ensuring higher hosting capacity of renewables and efficient grid utilisation.

Reduction of CO2 emissions through the development of grid-reflective dynamic tariffs that can improve renewable energy integration.

Cost reduction for consumers by improving network utilisation.

Overall reduction of investment costs by leveraging smart resources that have the potential to support services from stakeholders.

Improvements to data privacy and security resulting from edge analysis and distributed computation.

Improvements to grid resilience as a result of better network visibility.

Conceptual architecture

AISOP includes innovative content relating to data access and ingestion, grid situational awareness, and decision support solutions.


May 1. 2022
Project start
May 1. 2022
November 2022
Defined requirements and characteristics of the digital process twin
November 2022
May 2023
AI-based model for grid situational awareness
May 2023
December 2023
Start of the digital process twin test activities in Germany
December 2023
May 2024
ML-based risk analysis, anomaly detection prototype, and prototype of the dynamic tariff
May 2024
June 2024
Start of the Swiss test activities in Chapelle-sur-Moudon and Rolle
June 2024
April 2025
Test activities complete
April 2025
May 1. 2025
Project completion
May 1. 2025

Our numbers

Demo sites
0 M

Our technology

Intelligent distributed sensors

Risk-based dynamic tariffs
Advanced data analysis
Digital platforms for decision support

AISOP combines data access and ingestion, decision-support, dynamic tariffs, and digital platform integration for improved distribution grid situational awareness.

Our partners

AISOP brings together an international consortium of highly qualified partners comprising need owners, scientific partners, technology providers and demo sites.

Arbeitsgemeinschaft für sparsame Energie- und Wasserverwendung (ASEW)
Westfalen-Weser Netz (WWN)
Bundesministerium für Wirtschaft und Klimaschutz (BMWK)