Integrating Dynamic Pricing Models with HEMS solutions

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Recording of Friday, May 09, 2025 | The smarter E Europe Exhibition Program 2025 | Exhibition Program | Language: English | Duration: 10:15 .

Dynamic Energy Tariffs and Smart Home Systems: Navigating Germany's Evolving Market for Cost Savings and Renewable Integration

The speaker, representing a smaller company targeting the German market, discusses the current state of energy pricing in Germany and recent changes due to dynamic tariffs. Traditionally, fixed-price contracts dominated with prices around 42 cents per kilowatt-hour. Energy costs consist of taxes, grid fees, and procurement charges. Recent legislation has introduced dynamic components like Module 3 for flexible consumers allowing participation in variable grid fees based on consumption patterns aimed at stabilizing grids. Dynamic tariffs require users to adapt their energy usage according to fluctuating prices throughout the day—lower during nights but higher during peak times like evenings or lunch hours. This variability can result in significant savings (down to 14 cents/kWh) or increased costs if not managed well. To address these complexities and enhance user experience while promoting renewable energy use, they offer Home Energy Management Systems (HEMS). These systems autonomously optimize consumption using machine learning models after basic configurations by users regarding temperature settings and budget constraints. Installers play a crucial role; thus training programs are established ensuring installers understand product intricacies including installation procedures and customer communication about potential savings through optimized behavior adjustments facilitated by HEMS technology integration into residential setups.

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Dr. rer. nat. Dennis Rohde
Product Manager
Energielenker solutions GmbH

Discover how recent innovations are transforming Home Energy Management Systems (HEMS) into key enablers of efficient energy use and grid stability. Examine the integration of renewable energy sources like solar PV and wind, leveraging AI and machine learning for predictive energy optimization, and empowering homeowners with real-time insights to drive energy-efficient behaviors. Learn how these advancements are shaping the future of sustainable energy management.

Further Talks of this session:

Speaker

Thomas Haupt
Doctoral Candidate and Research Associate in Smart Energy Systems
Hochschule Ansbach

To Talk

Speaker

Jan Lehmann
Vice President Product Management
Kiwigrid GmbH

To Talk

Speaker

Robert van der Meulen
Head of Growth Partnerships & Services
GridX

To Talk

Speaker

Kathrin Rust
CEO
Solar Manager

To Talk

Speaker

Sandra Trittin
CGO
Beebob

To Talk

To Talk

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