Skip to main content
BB

Battery Based Trading

Battery Based Trading offers an energy management system that optimizes the operation of batteries, solar panels, and electric boilers based on real-time energy price fluctuations. This technology enables users to purchase energy at lower rates and sell it during peak demand, effectively reducing electricity and gas costs while maximizing profit from energy trading.

Amsterdam, The NetherlandsFounded 20229500+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Many energy consumers lack automated systems to optimize the use of batteries, solar panels, electric boilers, and EV chargers based on fluctuating energy prices, leading to increased electricity and gas costs and missed opportunities for profit from energy trading. Existing solutions often fail to provide real-time insights and dynamic adjustments based on market conditions.

Solution

Battery Based Trading provides an energy management system that intelligently optimizes the operation of batteries, solar panels, electric boilers, and EV chargers by responding to real-time energy price fluctuations. The system enables users to automatically purchase energy when prices are low and sell it back to the grid or utilize it when prices are high, reducing energy expenses and maximizing potential revenue from energy trading. By leveraging state-of-the-art algorithms, the system accurately forecasts energy consumption and production, allowing for smart energy management. The platform supports optimization based on dynamic contracts with hourly pricing, as well as short-term imbalance market opportunities.

Target Audience

The primary target audience includes both large and small energy consumers seeking to reduce electricity and gas costs and profit from energy trading, specifically those with batteries, solar panels, electric boilers, and/or EV chargers.

Features

  • Automated control of batteries, solar panels, e-boilers, and EV chargers based on real-time energy prices.
  • Algorithms for forecasting energy consumption and production.
  • Optimization based on dynamic contracts with hourly pricing.
  • Short-term imbalance market optimization.
  • Real-time monitoring of key parameters via a user-friendly application.
  • Insight into energy bills and trading results.
This profile is AI-generated and may contain inaccuracies.