Upload your two CSVs, preview the headers, then map the right columns. After that, merge to add SEK/MWh.
Guided Workflow
Load energy prices: In panel 1, pick your Nord Pool CSV and map the interval and price columns.
Load FX rates: In panel 2, upload the EUR/SEK CSV and confirm the date and rate fields.
Merge & review: Click Merge & Compute SEK/MWh to preview the combined table.
Export data: Download the merged CSV for version control and/or send it straight to the simulator.
Run simulator: Scroll down to the simulator workspace, load the merged rows, and walk through the modelling steps.
Tip: keep DevTools open with “Disable cache” while iterating so you always load fresh scripts.
Upload status
Energy prices
Energy: no file selected
FX rates
FX: no file selected
1) Energy Prices
2) EUR/SEK Rates
Step 1: load energy prices → Step 2: load FX rates → Step 3: merge to unlock download & simulator hand-off.
start_utc
end_utc
area
price_eur_per_mwh
date_utc
eursek
price_sek_per_mwh
Arbitrage Simulator
Load the merged SEK/MWh price table below and walk through the 15 minute timeline, Swedish villa load model, battery controller, KPIs, and exports — no extra tab required.
Quick Checklist
Load price data: Use “Load last merge” or paste CSV, then confirm the ingest status banner.
Build timeline: Click Build 15-min timeline and glance at the preview table.
Generate load: Enter annual kWh and create the Swedish villa profile.
Configure battery: Adjust controller sliders for your scenario.
Run simulation: Execute, study KPIs, daily rollups, and export if needed.
Tip: the ingest banner always shows the active period so you can spot missing data early.
1) Data (prices in SEK/MWh)
CSV fallback (paste here)
No price rows loaded yet.
2) Build 15-minute timeline
No 15-min timeline yet.
3) Swedish villa load model
No load profile yet.
Average Summer Day (load + price)
Average Winter Day (load + price)
Average Daily Price Spread by Month
Daily Spread Distribution
Selected Day Price Profile
4) Battery & controller
Run the simulation to view daily load, price, and battery behaviour.