Aug 2024
Datanumia Launches New AI-Powered Calculation Engine to Accelerate Residential Energy Transition
Leveraging household energy consumption data unlocks tailored energy efficiency solutions. By analyzing information like consumption indexes, user profiles, and public data such as weather, we can pinpoint the best recommendations for each household. This approach helps customers optimize their energy use, saving on kWh, money, and reducing their carbon footprint. Today, Datanumia presents its new calculation engine and shows how energy consumption data, new electrical equipment, and artificial intelligence are set to transform how we manage energy at home.
Introduction
With energy prices soaring in Europe, optimizing energy use has become critical for helping individuals save on their bills. At the same time, European countries are pursuing ambitious climate goals to cut CO2 emissions. Achieving these goals requires ramping up renewable energy, electrifying energy uses, and enforcing stricter regulations on home energy performance. For energy providers, changes in the energy mix and the growing use of home-based production and storage systems (like solar panels, electric vehicles, heat pumps, and electric water heaters) are making their energy purchasing strategies more complex. This shift in the energy market also brings new opportunities for network flexibility, allowing for the optimized use of affordable, low-carbon renewable energy.
Home Energy Management Systems (HEMS) are set to play a pivotal role in this transformation in the coming years. Datanumia is already leading the charge, using algorithms, artificial intelligence, and energy consumption data to gain insights into individual energy usage. This allows us to offer personalized advice that helps people lower their energy bills and improve their home’s efficiency.
Energy Consumption Data: A Goldmine for Energy Efficiency
Energy consumption data provides valuable insights into understanding and optimizing usage patterns. By analyzing this data, we can:
- Identify energy intensive appliances
- Suggest solutions for electrifying energy uses
- Optimize home energy performance
- Reduce the carbon footprint of energy consumption
- Encourage the development of renewable energy
Key information like consumption indexes and load curves, user profiles (household size, existing appliances, lifestyle habits,…), and public data like local weather allow us to accurately assess each household’s energy needs.
Datanumia’s AI-Powered Calculation Engine
Datanumia has developed an innovative calculation engine that uses algorithms and artificial intelligence to identify customers’ energy usage patterns and recommend the best actions they can take. Our solution processes and analyzes thousands of data points and hundreds of variables to provide these tailored recommendations. Our engine can:
- Calculate the benefits for a customer to switch equipment or energy plans based on their unique situation
- Estimate potential savings in kWh, money, and CO2
- Determine the payback period for energy upgrades
- Advise customers on how to optimize their energy use
- Recommend priority actions to improve home energy efficiency
We follow a “Next Best Action” strategy, identifying and recommending the top actions one by one to help customers achieve greater energy efficiency and lower their bills.
Use case
This calculation engine can be applied to a range of scenarios, including:
- Energy renovation projects: Insulating walls, roofs, and windows to reduce heat loss
- Replacing gas boilers with heat pumps: A more eco-friendly and cost-effective solution
- Installing solar panels: Generating renewable energy at home
- Switching from a gas-powered vehicle to an electric vehicle: Cutting CO2 emissions and saving on fuel
- Installing a charging station: Making electric vehicle use more convenient and optimizing electric consumption
These actions enable homeowners to make significant energy savings, enhance home comfort, and reduce their carbon footprint. For energy providers, Datanumia’s recommendation engine can be used across various channels like energy monitoring applications, online simulators, targeted email campaigns, or directly integrated into customer service tools.
Benefits for Homeowners and Energy Providers
This approach offers numerous benefits:
For homeowners:
- Lower energy bills
- Reduced carbon footprint
- Access to personalized, practical advice
- Improved home energy performance
- Enhanced energy rating and property value
For energy providers:
- Stronger customer relationships through high-value services
- Deeper understanding of customer needs
- Better targeting of high-priority customers
- Promotion of energy efficiency and sustainable solutions
- Increased customer loyalty through relevant, personalized recommendations
Conclusion
Optimizing residential energy consumption and improving home energy performance through data analysis and artificial intelligence marks a major step forward in the energy transition. Datanumia’s calculation engine provides personalized recommendations that help customers achieve substantial savings and boost their property value, while also contributing to environmental protection. By helping energy providers offer the best energy efficiency solutions to their customers, Datanumia plays a crucial role in driving the energy transition and promoting sustainable development.
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