Advanced System Technology branch AST of Fraunhofer IOSB

Energy and Energy Data Management

The energy sector of the future is digital, automated and efficient. At Fraunhofer IOSB-AST, we support energy suppliers, municipal utilities, network operators and platform service providers in achieving a secure, scalable and cost-effective transformation. With over 30 years of industry experience, we combine research expertise with tried-and-tested solutions for forecasting, optimisation and the automation of energy sector processes.

We are committed to highly automated, robust and resilient energy management based on modern software architecture. To help our customers realise their full potential in the field of energy management, we leverage the benefits of the latest AI techniques.

Our range of services

Energy data management with EMS-EDM PROPHET

Time Series & Energy Data Management
Process automation (scheduler)
Balancing Group and Grid Usage Management
Support for regulatory processes (e.g. Redispatch 2.0, metering point operations)
TÜV-certified solutions in accordance with DIN EN ISO 50001

The benefits for you: reduced manual effort, higher data quality and audit compliance, better control of energy flows and costs, flexible integration

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AI-powered forecasts for electricity, gas, heating and cooling

WattPredictor for accurate time series forecasts, including calendar logic, exogenous variables, imputation and performance monitoring
Use cases: Forecasts for load and feed-in, district heating and gas under dynamic tariffs, grid losses, DBA, industry, neighbourhoods, integration of e-mobility

The benefits for you: reduced forecasting risks, greater automation, scaled mass data, and the realisation of AI potential

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Optimisation and operation of cross-sectoral energy systems

Multi-market and multi-use-case optimisation of electricity and heat generation technologies, flexible consumers and storage systems, integrated across different sectors and in interaction with district heating networks
Energy system planning, simulation and evaluation in relation to various business models and market developments

The benefits for you: the most cost-effective way to realise the potential for flexibility in the deployment planning of your assets, and risk minimisation in the planning process

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Research & custom development

Research partnerships & consultancy services
Development and testing of specific forecasting and optimisation models
Use-case-specific AI applications for automation and scaling

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Our training programmes

Face-to-face seminar

Energy Data Analyst

During this seminar, participants will gain an overview of the methods of time series analysis and forecasting currently being discussed in research, and will gain an insight into their practical application in the energy sector.

Duration: 3 days of face-to-face teaching

Face-to-face seminar with online sessions

Energy Data Science for Optimization

This seminar covers the basics of optimising cross-sector energy planning and puts these into practice using simple examples. The seminar follows on thematically from the Energy Data Analyst seminar, but is not based on it in terms of content.

Duration: 2 days of face-to-face sessions and 2 online sessions