FAME4ME – Foresight and AI-based, user-oriented management of energy services
FAME4ME at a glance
FAME4ME aims to research the potential uses of sustainable energy management in buildings in the face of price fluctuations and geopolitical uncertainties and improve them with the help of artificial intelligence. Based on user behavior, the project is developing tailored, AI-supported, dynamically generated energy services to increase flexibility in the energy system and reduce electricity supply costs. A user-friendly app provides an AI-supported, intuitive visualization of generation and consumption forecasts and price signals for electricity use as well as individualized recommendations for action.
Specialist contact person
Dr. Christoph Kost, Fraunhofer Institute for Solar Energy Systems ISE
Consortium management
Do you have questions about the FAME4ME project? Contact the SmartLivingNEXT project office.
Challenge and innovation
The FAME4ME research project is responding to the challenge posed by the changing use of energy applications (e.g. controlling heat pumps, charging electric cars) and the variable availability of energy sources (e.g. wind, solar) in the building sector. Intelligent energy management in residential and building environments can help to increase the use of renewable energies through controlled energy consumption or provide flexibility potential for the system.
The aim of FAME4ME is therefore to use artificial intelligence to test and improve energy services for private users. One focus is on combining smart meters, energy management and time-variable electricity tariffs. The project will investigate user behavior in relation to flexible electricity consumption and the adaptation of time-variable electricity tariffs. The focus is on improving the benefits and effectiveness of the respective tariffs from the user’s perspective. In addition, a user-friendly app is being developed that can provide a visualization of generation and consumption forecasts and price signals for electricity use as well as individualized recommendations for action. The aim is to increase energy efficiency and develop a sustainable energy supply.
Linking the platform with the SmartLivingNEXT ecosystem, especially with the Dataspace, allows access to relevant context data such as incentive signals or market information. Combining data from different data sources is an important innovation compared to previous solutions. AI processes can be used to develop individual energy services based on this data on electricity supply and demand.
Application and benefits
Real applications (use cases) are analyzed by different user groups in workshops with pilot customers as well as through pilot studies and our own investigations. Surveys and analyses of user behavior with certain tariffs should allow conclusions to be drawn about how to improve customer benefits. At the same time, the complete technical implementation at the users’ premises is intended to test and expand interoperability with the various platforms. The continuously generated data will also contribute to the further development of the AI methods used.
Advantages of FAME4ME
| Without FAME4ME | With FAME4ME |
| electricity consumption that is not geared towards increasingly fluctuating availability. | Consumption tailored to availability, leading to optimal use of electricity in society. |
| Electricity prices that are independent of increasingly fluctuating availability. | Dynamic electricity tariffs that encourage the use of electricity based on availability. |
| Lack of data or data that is difficult to access, making it impossible to develop AI services for optimal load and tariff determination. | Pre-trained AI algorithms and models as well as a dashboard that provides AI developers and metering point operators with an overview and enables them to offer AI-based services. |
| The integration and use of cross-manufacturer smart meter data for services within the SmartLivingNEXT ecosystem is not yet supported. | The SmartLivingNEXT ecosystem provides access to cross-manufacturer smart meter data, which enables the provision of new cross-domain smart (energy) services. |
The consortium partners of FAME4ME
Fraunhofer ISE (consortium leader), EnBW AG, University of Würzburg
