SAMAWATT's machine learning algorithm
has a proven record of significantly
reducing grid imbalance penalties
Extracting higher financial value from renewable assets
We significantly reduce electric grid imbalance penalties for renewable assets operators
SAMAWATT's typical clients include wind and solar park operators who face the challenge of intermittent energy production due to uncertain weather conditions. SAMAWATT employs state-of-the-art machine learning algorithms and synthesized market intelligence to extract higher financial value from renewable energy assets, while reducing the notoriously high grid imbalance penalties.
What do we do?
using powerful algorithms..
Renewable Power Forecast
We provide accurate wind and solar power production forecast on hourly granularity for 72-hour horizon. We achieved a daily MAPE below 2% mark for a sustained period of time, thanks to our machine learning algorithms
Power Dispatch Optimization
If the renewable power is marketed in the day-ahead or intra-day markets, then we model both production and price uncertainties and combine them to suggest optimal dispatch decisions.
Insightful & Accurate Analysis
Through our SaaS trading platform, renewable park managers can carry out pre- and post-dispatch analysis to control the grid imbalance costs. Our reporting module provides real-time P&L breakdown by market