Case Study Showcase
Grid Optimization System
AI for grid load balancing and energy efficiency
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Company Profile
A large regional utility provider serving 2 million households.
Industry
Energy & Utilities
Region
Western Europe
About the Client
Our client is a major energy utility facing the challenge of integrating renewable energy sources into an aging grid.
0%
Energy Efficiency
0 Months
Project Timeline
0M+
Households Served
Challenge
The primary challenge was "grid instability". Traditional power plants are slow to ramp up, while renewable generation can change in seconds.
- High cost of balancing power during peak renewable generation.
- Frequent localized grid instability.
- Lack of visibility into residential solar feed-in.
- Manual intervention required for 80% of balancing tasks.
The Solution
Predictive Grid Management
WebbyButter deployed a distributed AI architecture across the substation network with predictive models for 24-hour forecasting.
The Outcome
Powering a Sustainable Future
Grid efficiency improved by 40%, and emergency power purchase costs dropped by 60%. CO2 emissions reduced by 15%.
0%
Balancing Efficiency
0%
Emergency Cost Saving
0%
Carbon Reduction
"WebbyButter has helped us solve the most difficult technical challenge of the energy transition."
Chief Technical Officer, Regional Grid
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