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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

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.

Products

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.

Professional Services

Whether your challenge can be solved by our existing products or requires the development of new analytics solutions and market design approaches, our team is ready to help.

Market Design Get expert insight into innovative market design questions. Co-creation Build the optimal solution with help from the experts. Match-Integrate-Support Maximize the impact of our products while minimizing risk.

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About

About N-Side Careers

3:00PM, Nov 29 | N-SIDE booth - Hall 8 Stand 12.0.B10

N-SIDE Speaking Session

Lessons learnt from implementing a machine learning forecaster in a TSO's secure infrastructure

What will you learn?

This talk is aimed at project sponsors at TSOs who are considering deploying machine learning forecasters for their operations.
We will tell the story of the design, deployment, and evolution of a specialized forecasting solution used in day-ahead planning at a European TSO, covering both project management aspects and technical considerations.
Topics include how to design and implement a forecaster for

Cost
Accuracy
Reliability
Security
Ease of support and maintenance
Extensibility

Speaker

Herman Carstens Grid Forecasting Lead

Herman holds a PhD in electrical engineering, where he focussed on machine learning on energy datasets.He has been involved in numerous forecasting and other advanced analytics machine learning projects, both as data scientist and as project manager.Herman is currently the product owner for grid forecasting at N-SIDE.

Topics

AI in real-life: Do's and Don't

An interactive session to showcase real-life applications of Advanced Analytics and Artificial Intelligence in the energy sector, in and outside Europe. Focus on what works... and what doesn’t

Speakers

Arnaud Debray Business Development Engineer

Arnaud holds a master’s degree in Electromechanical Engineering from UCLouvain with a specialization in power systems. After several years working for a system operator, he joined N-SIDE aiming for new challenges. He is now working mostly on local energy markets and flexibility management problematics through various industrial and R&D projects.