ATO Energy provides a real-time energy management tool that utilizes dynamic ratings and AI to optimize asset performance and predict energy needs based on historical data, seasonality, and weather forecasts. This technology enables energy operators, such as solar panel owners and fleet managers, to secure flexible energy contracts while minimizing reliance on costly backup solutions.
Funding
Funding not disclosed
Founders
Product
Problem
Energy operators face challenges in optimizing asset performance and predicting energy needs due to fluctuating factors like weather and seasonality. This often leads to reliance on expensive backup solutions and inflexible energy contracts. Grid owners also struggle with managing grid performance and asset usage effectively, leading to potential overloads and increased operational costs.
Solution
ATO Energy offers an AI-driven energy management platform that utilizes dynamic ratings and predictive insights to optimize asset performance and forecast energy needs in real-time. The platform enables energy operators, such as solar panel owners, EV charger operators, fleet managers, and wind power parks, to secure flexible energy contracts while minimizing dependence on costly backup solutions. For grid owners, including DSOs, TSOs, and industrial companies, the platform provides dynamic ratings and AI-driven long-term capacity predictions to manage grid performance and asset usage more effectively. ATO Energy's digital twin technology simulates grid conditions, forecasts equipment optimization or replacement needs, and reduces the risk of overload, ensuring reliable operations and minimizing operational costs.
Target Audience
The primary target audience includes energy operators such as solar panel owners, EV charger operators, fleet managers, wind power parks, DSOs, TSOs, and industrial companies.
Features
- AI-driven forecasts based on historical data, seasonality, and weather patterns
- Dynamic ratings for transformers and powerlines to increase capacity up to 50%
- Real-time monitoring of energy supply and demand dynamics
- Predictive analysis to identify weak points in the grid and prevent overloads
- Digital twin technology to simulate grid conditions and optimize asset management
- Support for flexible energy contracts and reduced reliance on backup solutions
- Monitors loss of life