Grid Optimization System
AI for grid load balancing and energy efficiency
Company Profile
A large regional utility provider serving 2 million households.
Industry
Energy & Utilities
Region
Western Europe
About the Client
Energy Efficiency
Project Timeline
Households Served
Challenge
The primary challenge was'grid instability'. Traditional power plants are slow to ramp up or down, while renewable generation can change in seconds. This mismatch led to frequent localized brownouts and forced the client to purchase expensive emergency power from neighboring regions.
They needed a system that could predict generation and demand spikes at the micro-grid level and automatically adjust load balancing in real-time.
- High cost of balancing power during peak renewable generation.
- Frequent localized grid instability and voltage fluctuations.
- Lack of real-time visibility into residential solar feed-in patterns.
- Manual intervention required for 80% of grid balancing tasks.
The Solution
Predictive Grid Management
The Outcome
Powering a Sustainable Future
Balancing Efficiency
Emergency Cost Saving
Carbon Reduction
"WebbyButter has helped us solve the most difficult technical challenge of the energy transition. Our grid is now smarter, greener, and more resilient."
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