Scoptvision provides a white-label energy management software that optimizes home charging for electric vehicles by utilizing advanced algorithms to align energy consumption with real-time pricing and grid demand. This technology enables end-users to save up to 50% on charging costs while creating new revenue streams for EV charger providers and enhancing grid stability.
Funding
Funding not disclosed
Founders
Product
Problem
Electric vehicle (EV) owners face challenges in optimizing home charging due to fluctuating energy prices and the need to align consumption with grid demands. Current solutions often lack the intelligence to dynamically adjust charging schedules based on real-time conditions, leading to higher costs and potential grid instability.
Solution
Scoptvision offers a white-label energy management software platform that optimizes EV home charging by leveraging advanced algorithms to align energy consumption with real-time pricing and grid demand. The software enables end-users to reduce charging costs by automatically optimizing energy usage. Scoptvision's modular algorithm allows for easy enabling or disabling of relevant optimizations based on specific needs, such as peak shaving, solar optimization, dynamic pricing, and balancing services. The platform integrates seamlessly with charging station manufacturers, vehicle manufacturers, charge point operators, charge point management systems, and grid operators.
Target Audience
Scoptvision's primary customers include charging station manufacturers, vehicle manufacturers, charge point operators, charge point management systems, and grid operators seeking to optimize their energy propositions.
Features
- White-label proposition enabling partners to bring their own branded energy management solutions to market
- Modular optimization algorithm that considers real-time data and variables, including dynamic pricing, solar optimization, and peak shaving
- Scalable solutions designed with open standards to simplify the installation process
- Peak shaving capabilities to reduce peak demand by managing energy consumption based on real-time data
- Solar optimization to maximize the use of solar energy by aligning energy generation and consumption
- Dynamic pricing integration to optimize energy consumption by anticipating price fluctuations
- Balancing services to ensure a stable energy grid by precisely matching supply and demand