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.
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.
Resources
The latest insights from N-SIDE
Forecasting and optimization solutions for power grids and markets
We accelerate the transition towards renewables and electrification by enabling leading grids and market players in making better, faster and safer decisions with machine learning and mathematical optimization technologies.
Trusted by…
System operators
Power Exchanges
We develop solutions for several segments
N-SIDE provides expertise and deploys advanced analytics software for
organizations around the world and throughout the energy value chain.
System Operators solutions
N-SIDE helps system and network operators (DSOs, TSOs, ISOs, etc.) make optimal decisions with a combination of advanced analytics, industry experience, and software expertise.
View all solutions
Power Exchanges solutions
Seamlessly match supply and demand in challenging electricity markets. N-SIDE is the trusted provider of auction-based electricity market clearing algorithms currently powering exchanges in Europe and India.
View all solutionsProducts
Our software products leverage advanced analytics and AI to simplify
decision-making and improve efficiency.
N-SIDE uses machine learning to produce a variety of forecast for system operators, including system imbalance forecast and congestion risk forecast.
This robust market clearing algorithm matches supply and demand bids in a closed-gate auction fashion, considering potential congestion and other constraints to produce market clearing prices and volumes.
Determine the optimal strategy and daily schedule for grid interventions and related outages, leveraging advanced analytics to integrate your constraints and achieve your business objectives.
This solution uses machine learning and advanced analytics to enable TSOs to dynamically adapt reserves volume based on the real imbalance risk faced by the system.
Services
Our skilled team of energy experts and software engineers will work with you to develop
innovative AI and machine learning-driven solutions to your biggest challenges.
Market design
Our deep experience in the energy sector, coupled with our strong background in applied mathematics, enables our consultants to advise system operators and power exchanges on innovative market design questions.
Co-creation
Leveraging the knowledge of both your business stakeholders and N-SIDE’s energy incubation experts, we’ll work together through ideation and prototyping to arrive at an innovative, production-ready application.
Match-Integrate-Support
Let us facilitate the gradual adoption of our software products by your organization while mitigating risk and maximizing impact using this proven step-by-step approach
Why N-SIDE?
System operators
Increase efficiency and reduce cost while maintaining high reliability.
Become more agile.
Reduce balancing reservation costs by up to 10%.
Power Exchanges
Optimize price setting and bid acceptance at maximum social welfare value.
Optimize allocation of cross-border scheduled exchanges.
Work with the company whose solutions enable 200M€ in matched trades daily.
Market Participants
Get robust and non-ambiguous recommendations.
Profit from value-based pricing.
Benefit from an objective function fitting your precise needs.
Case study
EUPHEMIA: How the European Power Exchanges couple the electricity market
The EUPHEMIA algorithm developed by N-SIDE calculates electricity prices across 25 European countries and allocates cross-border transmission capacity on a day-ahead basis.
Featured resources
White paper
Accelerate time to market with clinical supply optimization
Wastage in clinical trials is accepted as the norm, but there is another way: end-to-end clinical supply chain optimization. Download white paper
Webinar
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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud. View Webinar
Case study
Sanofi improves clinical trial monitoring with N-SIDE Suite for Clinical Trials
Sanofi has implemented a new solution to improve clinical trial monitoring: using dashboards from the N-SIDE Suite for Clinical Trials. Read case studyWhy N-SIDE?
Advanced analytics
Energy expertise
Software development
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Featured resources
Article
Time-series forecasting in energy: the need for explainable AI
Energy players need to explain decision-making, even when it’s powered by AI. We’ve developed a unique method for improving transparency called multipole expansion.
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CASE STUDY
Strategies for managing internal grid constraints in the European balancing platforms
The Norwegian TSO Statnett, together with N-SIDE, is conducting an ambitious R&D project to address new challenges emerging from the implementation of the European balancing platforms.
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CASE STUDY
Innovative operational planning for TSO built on advanced analytics
Elia, one of the European TSOs, partnered with N-SIDE to achieve more agile planning and more stable execution of works, increasing the number of activities planned while significantly reducing the stress on the grid.
Read case study