WhyGrene
WhyGrene provides an AI-driven Distributed Energy Resource Management System (DERMS) called the Grene Edge DERMS that integrates simulation, operations, and aggregation for utilities, DER owners, and microgrid operators. The platform combines digital twin simulations, real-time AI forecasting, and economic optimization to turn distributed resources into visible, dispatchable assets while helping owners reduce costs and add revenue across batteries, EVs, solar PV, and loads.
- Energy
- Clean Technology
- Artificial Intelligence
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Utilities, distributed energy resource (DER) owners, and microgrid operators struggle to integrate variable renewable assets like solar, batteries, and EVs into grid operations. These resources are often invisible, unpredictable, and difficult to dispatch, while microgrids frequently fall short of their financial potential because assets are undersized, suboptimally operated, or unable to participate in market revenue streams.
Solution
Grene provides an AI-driven Distributed Energy Resource Management System (DERMS) called the Grene Edge DERMS that integrates simulation, operations, and aggregation tools into a single platform. Utilities can turn distributed resources into visible, predictable, and dispatchable assets to balance supply and demand. DER owners can use economic and power flow optimization to cut costs and add revenue across batteries, EVs, solar PV, and loads. Microgrid operators can increase ROI by right-sizing assets, optimizing operations with market signals, and aggregating capacity for grid services. The platform combines digital twin simulations, real-time AI forecasting, and automated optimization to deliver reliable, affordable, and sustainable energy outcomes.
Target Audience
Primary customers are utilities seeking to balance supply and demand, DER owners and OEMs looking to save and make money, and microgrid operators aiming to increase return on investment.
Features
- Digital twin simulations that model power flows and economic performance under various hardware configurations and operational scenarios
- AI and machine learning forecasting of energy production and consumption to minimize power costs in real time
- Economic and power flow optimization across batteries, EVs, solar PV, and loads to reduce costs and generate revenue
- DER aggregation capabilities enabling participation in grid services and market signals
- Integrated planning tools for right-sizing assets to maximize microgrid ROI