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PeakPilot knowledge base

Stronger energy advice starts with a better model.

Strengthen your advisory method with the data, scenarios and assumptions behind investments in grid capacity, charging infrastructure and battery storage.

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From explanation to client decision

An article provides direction. The client case provides the evidence.

Use the knowledge base to frame the right calculation question. Draw a conclusion only after client data, grid limits, tariffs and assumptions are combined in one scenario comparison.

  1. 01

    Define the question

    Separate energy, peak demand and financial outcomes before comparing variants.

  2. 02

    Make inputs auditable

    Record the source, period, unit and missing intervals in the client data.

  3. 03

    Separate advice from assumptions

    Show which outcome follows from data and which choice changes because of an assumption.

Start with the client question

Three routes through the same decision layer.

Read the background, then continue to the solution where you model the client case.

Grid congestion and connection capacity

Find the decisive interval and assess how a scenario fits within grid import and export limits.

Explore grid congestion

Business EV charging

Translate vehicles and charging windows into a site profile alongside building load and PV.

Explore EV charging

Battery storage and ROI

Compare power, capacity and dispatch using the same client data and financial assumptions.

Explore battery storage
All topicsGrid congestionBusiness EV chargingBattery storage
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Working method

Move from insight to testable advice in three steps.

The knowledge base helps sharpen the question. PeakPilot then keeps project data, scenarios and outcomes together.

Read before modelling

Define the technical or financial question you need to answer for the client.

Model with client data

Translate the question into interval data, grid limits, assets, tariffs and explicit assumptions.

Review before handover

Check the scenario comparison and show which assumption influences the conclusion.

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Quality control

What remains visible in auditable advice.

A client decision is stronger when sources, assumptions and conclusions stay connected.

Source data

Period, unit, resolution and data quality remain part of the assessment.

Assumptions

Grid limits, tariffs, investments and scenario settings are recorded explicitly.

Decision

The preferred variant stays attached to the comparison that supports the advice.

From insight to scenario

Test your next client question.

Bring client load, generation, charging infrastructure and storage together in one auditable simulation.

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