About
This project was born from a puzzling anomaly: electricity prices across several central European bidding zones kept returning zero values — yet there was no obvious explanation. No exceptional solar surplus, no unusual wind generation, no clear fundamental driver.
Those debugging sessions — chasing a phantom zero in the data — inspired the team to pay homage to Āryabhaṭa (आर्यभट, c. 476–550 CE), the ancient Indian mathematician and astronomer widely credited with formalising the concept of zero and positional notation. Without zero, no null price; without Āryabhaṭa, no zero. The name stuck.
What this dashboard is for
Day-ahead electricity prices are shaped by the balance between available generation and system demand. To understand why a price looks unusual on a given day, you need the full picture: how much renewable capacity was online, what load looked like hour by hour, and how cross-border flows were affecting the zone.
Aryabhatta lets you pick any two days — or any two bidding zones — and place them side by side across all key metrics: prices, generation mix, clean-vs-fossil breakdown, total load, and cross-border flows. The paired view makes it immediately obvious which day was structurally different and why prices moved the way they did.
Day-Ahead Prices
Hourly spot auction prices — including negative price events.
Generation Mix
Stacked area by fuel type: wind, solar, gas, nuclear, hydro and more.
Clean Energy Share
Renewable / nuclear / fossil as a proportion of total daily output.
Total Load
Actual system consumption — the demand side of the price equation.
Cross-Border Flows
Net import/export per neighbour: positive = imports, negative = exports.