Forecasting

N-SIDE uses machine learning to produce a variety of forecasts for system operators, including system imbalance forecast, reserve needs forecast and congestion risk forecast.

Optimize Grid Management & Remedial Actions, Tailored for a Greener Future

Power Matching

This robust market clearing algorithm matches supply and demand bids in a closed-gate auction fashion, considering potential congestion and other constraints.

Outage Planning Optimization

Leverage advanced analytics to determine the optimal strategy and daily schedule for grid interventions and related outages.

Dynamic Reserves Dimensioning

TSOs: dynamically adapt reserves volume based on the real imbalance risk faced by the system using machine learning and advanced analytics.

Remedial Action Optimization

Reconfigure your topology and find the optimal remedial actions to operate your network more reliably, efficiently and economically