What data source does this use?

Hourly prices are fetched from the Porssisahko.net API and converted to Finland time.

How are times handled?

All UTC times are converted to Finland local time to ensure accurate scheduling.

What outputs are returned?

The skill returns current_price (snt/kWh), best_charging_windows (3h, 4h, 5h), and today_stats (daily average, min, max).

Nordpool Fi

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@ovaris

npx machina-cli add skill @ovaris/nordpool-fi --openclaw

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Nordpool Finland Energy Prices 🇫🇮

Hourly electricity prices for Finland with optimal EV charging window calculation (3h, 4h, 5h).

This skill fetches hourly electricity prices for Finland using the Porssisahko.net API. It handles UTC conversions to Finland time and provides helpful summaries for energy-intensive tasks like EV charging.

Tools

nordpool-fi

Fetch current prices, daily stats, and optimal charging windows.

Usage: public-skills/nordpool-fi/bin/nordpool-fi.py

Output Format (JSON):

current_price: Current hour price (snt/kWh)
best_charging_windows: Optimal consecutive hours (3h, 4h, 5h) for charging.
today_stats: Daily average, min, and max prices.

Examples

Get optimal 4h window:

public-skills/nordpool-fi/bin/nordpool-fi.py | jq .best_charging_windows.4h

Source

git clone https://clawhub.ai/ovaris/nordpool-fiView on GitHub

Overview

Nordpool Finland Energy Prices fetches hourly electricity prices for Finland and computes optimal EV charging windows (3h, 4h, 5h). It uses the Porssisahko.net API, converts UTC to Finland local time, and returns current price, best windows, and daily stats to guide charging decisions.

How This Skill Works

The skill uses the nordpool-fi tool to pull current prices, today’s stats, and the best charging windows (3h/4h/5h). It handles UTC-to-Finland time conversion and exposes a structured JSON with current_price, best_charging_windows, and today_stats.

When to Use It

To minimize charging costs by targeting low-price hours in Finland
When planning fleet or individual EV charging for Finland-based operations
For daily price summaries and optimal 3h/4h/5h windows before charging
When comparing today’s price volatility to plan charge timing
When you need current price and optimal window info for immediate charging decisions

Quick Start

Step 1: Run the Nordpool Finland script: public-skills/nordpool-fi/bin/nordpool-fi.py
Step 2: Read the JSON outputs for current_price, best_charging_windows, today_stats
Step 3: Pick a charging window (3h/4h/5h) based on current_price and today_stats

Best Practices

Check all three window lengths (3h, 4h, 5h) to find the best fit for your load and schedule
Cross-check today_stats with expected usage to ensure the chosen window aligns with demand
Remember the UTC-to-Finland time conversion to avoid misaligned charging times
Use current_price alongside today_stats to decide between real-time vs scheduled charging
Store and compare daily statistics to identify price trends and better future planning

Example Use Cases

Example 1: Get optimal 4h window: public-skills/nordpool-fi/bin/nordpool-fi.py | jq .best_charging_windows.4h
Example 2: Retrieve current price: public-skills/nordpool-fi/bin/nordpool-fi.py | jq .current_price
Example 3: Get today’s stats: public-skills/nordpool-fi/bin/nordpool-fi.py | jq .today_stats
Example 4: Show 3h window: public-skills/nordpool-fi/bin/nordpool-fi.py | jq .best_charging_windows.3h
Example 5: Compare all windows for planning: public-skills/nordpool-fi/bin/nordpool-fi.py | jq .best_charging_windows

Frequently Asked Questions

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