™LAYLA

Energy Insights Application

™LAYLA

Energy Insights Application

™LAYLA

Energy Insights Application

Without reliable data, up to 1.1 million kilometers of low-voltage lines need to be renewed for an energy transition

By orchestrating data, enormous savings potentials can be achieved through intelligent control of large consumer devices. End consumers benefit from this both through lower energy costs and by avoiding unnecessary expenses in the grid infrastructure.

LAYLA optimizes the energy budget thanks to smart algorithms that reduce electricity costs, maximize solar power usage, and efficiently manage battery storage. It adapts consumption to use energy at the most favorable price and supports integration with Home Assistant for centralized energy management.

LAYLA provides data and triggers for all applications locally and for external queries through its API-supported system environment.

LAYLA FEATURES

  • API-supported system environment: Provides data for all applications and external queries
  • Real-time data access: Enables quick and immediate access to various data sources, including IoT data, customer data, and energy consumption data
  • High flexibility: Data can be queried and adapted as needed
  • Easy integration: Easily integrable into existing systems and applications
  • Scalable architecture: Automatically adapts to increasing data traffic and user requirements, thus ensuring consistently high performance
  • Secure data transmission: Ensures the protection of sensitive data through encrypted transmissions and strict security protocols
  • Central energy management: Enables seamless connection for centralized management of all energy aspects of the household
  • Energy cost optimization: Uses advanced algorithms to reduce electricity costs and achieve significant long-term savings
  • Maximization of solar energy: Optimizes the use of self-generated solar energy, reduces grid dependency, and maximizes self-consumption
  • Battery storage management: Intelligent control of battery storage for optimal use of stored energy during times of high electricity prices or low feed-in tariffs
  • Automated device control: Automatic adjustment of the operation of electrical devices to the most favorable consumption times based on energy prices and availability of renewable resources

LAYLA FEATURES (incl. APP)

  • Management: Multiple households and residents
  • QR-Code: Adding eniqo devices like NANCY via QR-code
  • GDPR- and BSI-compliant consent: for data release and transmission
  • Visualization: Detailed load profiles via dashboard and detailed view
  • Notification Center: For customer communication or notable events in electricity consumption
  • Identification: Individual electricity consumers in the household through pattern recognition and machine learning
  • Recording and visualization: Of the energy usage of individual devices
  • Derivation of forecasts: And optimization potentials from the overall consumption
  • Display: Of electricity costs in real-time
  • Evaluation: Of the collected data for analysis of future consumption and costs