Grid solutions
N-SIDE helps system operators make optimal decisions by providing AI software solutions, from system planning to the control room of the future.
Power exchange solutions
Seamlessly match supply and demand in challenging electricity markets. N-SIDE is the trusted provider of auction-based electricity market clearing algorithms.
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.
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.
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The latest insights from N-SIDE
Pauline Martin
Guarantee the security of electricity supply for several million consumers is the daily challenge of the TSO. With the energy transition, new constraints are emerging in the energy landscape with a direct impact on the planning of grid activities requiring outages.
In such a context, Elia, one of the European TSO’s, has launched a new program called Synapse. The purpose of this program is to offer a more agile planning and a more stable execution of works. One key enabler to reach this ambitious target is the development of an innovative optimization tool, Opso.
The tool : advanced analytics to optimize the grid activities schedule
Our data scientists have selected two technologies : Constraint Programming and Large Neighborhood Search in order to model such a complex optimization problem (e.g. hundreds/thousands of works/outages to be scheduled). The smart mix of those two technologies enables to reach a high degree of flexibility in the definition of non linear constraints while keeping reasonable execution time for the business.
The results : an optimal grid activities schedule
The very first use of the optimization tool, as proof of the concept, shows the ability to increase the number of grid activities planned while significantly reducing the stress on the grid (reducing the number of outage days).
Beside the initial proof of concept, the tool was used in a field test during the summer 2020 to help the operational planning teams reschedule the works canceled due to the COVID-19 pandemic. This illustrated one of the main benefits of the tool: being able to quickly reschedule activities affected by external factors.
Learn more about Synapse & the innovative operational planning tool for TSO