Intelligent Generation provides POWR:Suite, an AI-driven cloud platform that optimizes battery energy storage operation by forecasting market prices and scheduling charge‑discharge cycles to maximize revenue and lower electricity costs. The solution also automates clean backup power activation during outages and offers real‑time analytics, reporting, and API integration for commercial, industrial, and grid operator customers.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses with battery energy storage systems often lack the tools to efficiently monetize stored energy, resulting in missed revenue from wholesale power markets and higher electricity costs, while also facing challenges in managing backup power during outages.
Solution
Intelligent Generation offers an AI-driven cloud platform, POWR:Suite, that optimizes the operation of battery energy storage systems. The software uses real-time data analytics and machine‑learning algorithms to schedule charge and discharge cycles for maximum economic return, enabling participation in wholesale power markets and reducing utility bills. It also provides automated, clean backup power activation during grid interruptions, enhancing resilience. Comprehensive monitoring, reporting, and grid‑integration capabilities give users actionable insights to improve operational efficiency and support sustainability goals.
Target Audience
Primary customers are commercial and industrial enterprises, as well as grid operators, that own or manage battery energy storage systems and seek to reduce energy costs, generate market revenue, and improve power reliability.
Features
- AI‑based optimization engine that forecasts market prices and schedules battery dispatch for revenue generation
- Real‑time analytics dashboard with performance metrics, cost savings, and revenue tracking
- Automated clean backup power control that instantly switches to stored energy during outages
- Seamless integration with grid operators and energy markets via standardized APIs
- Cloud‑hosted monitoring and reporting tools for remote asset management
- Machine‑learning models that continuously improve dispatch strategies based on historical data