Background
As Europe pushes towards significant CO2 emission reductions, the Prosumer GPT, a project funded by Fraunhofer FIT, project addresses the urgent need for consumers to become proactive energy prosumers. In the scope of this project, we plan to explore the development of an LLM that acts as a virtual consultant for prosumers, guiding them through the complexities of managing photovoltaic systems, heat pumps, and storage systems. The project emphasizes user-friendly interfaces, backed by a Python-based engine, to simplify interactions with home energy management systems (HEMS).
Objectives:
- Identifying the potential of LLMs to serve as an interactive user interface for energy management decision-making
- Identifying the potential of a combined tool based on ad hoc trained LLM combined with a Python based engine exploiting the available knowledge on building modelling
- Identifying the key factors for successful development and implementation of an LLM-powered chatbot integrated with a Python-based engine for enhanced home energy management decision support.
- Implementing and evaluating the developed platform