How N-SIDE’s Power Matching Algorithm is clearing the electricity markets

How N-SIDE’s Power Matching Algorithm is clearing the electricity markets
Topics
Market Operation
Power Exchanges
TSO
Wholesale Markets
Page published on
June 3, 2025
Several years ago, we set a clear goal: to provide any Power Exchange and Transmission System Operator with access to the same advanced optimisation standard and high quality that clears Europe’s single-day-ahead market, without lengthy integration cycles, while being configurable and operated locally.

Here are four non-negotiable KPIs define that standard:

How N-SIDE’s Power Matching Algorithm is clearing the electricity markets

Why Market Operators Choose N-SIDE’s Power Matching Algorithm

Five practical advantages drive rapid adoption:

  1. Scalable by design: Proven on data sets well above 50,000 bids with no material increase in solution time.
  2. Product-agnostic: A configuration layer maps bid and auction formats (day-ahead, intraday, reserve, capacity) onto one solver core.
  3. Audit-ready outputs: Each run is packaged with a snapshot of inputs, parameters, and solver logs. Reruns may execute at a different pace but always satisfy the same optimality criteria, ensuring the results are reproducible within the solver’s tolerance.
  4. Fast onboarding: Comprehensive APIs connect to existing gate-closure and settlement systems in weeks, whether the deployment is in the cloud or on-premises.
  5. Beyond a tool: Our market design consultants routinely help customers diagnose, understand, and enhance their operations. That expertise ships with the software and builds the best-in-class experience.

Five Years of Impact

Since the first production go-live, the algorithm has become a cornerstone of several distinct market designs.

    On a typical day across these markets, the algorithm:

    Matches more than €50 million of value
    Delivers 99.9% service availability
    Executes more than 50
    energy, capacity, reserve and response auctions.
    Clears more than 900 GWh
    of nominated volume for Wholesale Electricity Markets, as well as more than 80 GWh of Grid Balancing services
    Produces a solution in a few seconds
    even for the largest data sets

    Versatility Beyond Day-Ahead

    Current production use-cases span the whole timeline of electricity trading:

    • Day-ahead energy (hourly and 15-minute)
    • Auction-based intraday power
    • D-1 capacity & reserve
    • Long-term capacity remuneration mechanisms

    All share the same solver core, parameterised for each geography and market design.

    Continuous Evolution

    Our roadmap flows directly from active client projects:

    • Deeper customisation: parameters that follow local pricing rules, market designs, and network models allow each customer to adapt the engine to their needs, even during software integration
    • New latitudes: rollouts in several geographies validate the solver under different demand patterns, usage requirements, and grid topologies.
    • Transversal knowledge: lessons learned and features developed for any customer are integrated into the algorithm’s core, so that every new market benefits immediately from the expertise accumulated in earlier projects.
    • Scaling horizon: performance tests confirm processing capability beyond 100,000 bids without significantly increasing computation time.

    Talk to Our Experts

    If you operate a power exchange, run market design for a TSO/ISO, or advise policymakers, we would be happy to discuss how N-SIDE’s Power Matching Algorithm can support your market. Don’t hesitate to reach out and have a chat with us!

    Author
    Sergio Z. Perilla
    Sergio Z. Perilla
    Senior Energy Analytics Consultant
    Sergio holds a double master’s degree from KTH (Sweden) and TU/e (The Netherlands) and brings over 5 years of experience to the energy sector. At N-SIDE, he bridges the gap between client needs and technical implementation, specializing in power matching algorithms, grid operations, and outage planning. His work leverages mathematical optimization and data science to solve complex challenges in power systems and electricity markets.