Energy / Utilities8 weeks
Smart Grid Management & Renewable Energy Forecasting
Client: NextWave Energy
Forecast renewable production and consumption patterns for efficient grid management and trading.
The Challenge
NextWave Energy needed to balance energy supply and demand on the grid by accurately forecasting production from renewable sources (solar, wind) and predicting consumption patterns. The challenge was to enable efficient grid management and trading with higher renewable penetration.
Key Challenges:
- Balance energy supply and demand on the grid
- Accurately forecast production from renewable sources (solar, wind)
- Predict consumption patterns for efficient grid management
- Enable efficient energy trading with renewable integration
Without accurate renewable forecasting, the company faced grid instability, inefficient energy trading, and inability to integrate more renewable sources effectively.
Our Solution
- High-fidelity time-series forecasting system using weather data and historical production
- Smart meter data integration for consumption pattern prediction
- Renewable production forecasting for solar and wind sources
- Grid management optimization enabling efficient energy distribution
- Energy trading optimization based on accurate forecasts
- Real-time monitoring and alerting for grid stability
Technology Stack
PythonTensorFlowLSTMsProphetCloud IoTGrafana
Client Testimonial
"Increased wind prediction accuracy by 40%, enabling more renewable integration."
— Grid Operations Director, NextWave Energy