MWattpower-sector data

Manifesto

Honesty is the brand

Brazil's power sector produces excellent public data — and conclusions published without sources, dates or methods. MWatt exists to do the opposite: build tools in which every figure can be traced to the official document it came from. This is the standard every product signs up to.

1.Official, open sources only

Every primary data point comes from ONS, CCEE, ANEEL, EPE or MME — open data or published official acts. No market figure without a public source enters our tools.

2.A source and date for every figure

Every value shown carries its source document — the ratifying resolution, dataset or official act — and its date. If you cannot trace a figure back to its source, that is a bug: please tell us.

3.Derived results are labeled as derived

When we calculate something from official data — a ranking, average or scenario — the result is labeled as our own calculation and the math is published. Assumptions are identified as assumptions and, whenever possible, are editable by you.

4.Honest absence

If no official source exists, the value appears as missing — a dash, not a guess. We do not interpolate or substitute estimates for missing data, and we do not hide coverage gaps: they are stated in each product’s methodology.

5.A scenario is not a forecast; a forecast has a scorecard

Scenario tools such as BESS state that they produce scenarios from historical data and cited assumptions — never oracles. Where we publish an actual forecast, as in Spotcast, every forecast error is measured against the official price in an append-only log that nobody rewrites, including when a naive baseline beats our model.

6.Reproducible by design

Our data pipelines (ETL) are code: they run on public source files and produce versioned datasets. Each product publishes its complete methodology.

See it in practice

Each product publishes its own methodology page, with formulas, datasets and stated limitations:

  • Spotcast — Hourly PLD forecast, with a public track record. Sources: CCEE and ONS (Brazil), and Energy-Charts/Fraunhofer ISE (Europe) — open data, CC-BY.
  • TUST — TUST by busbar, without mining ANEEL spreadsheets. Sources: ANEEL Ratifying Resolutions (CEDOC).
  • Curtailment — How much wind and solar did Brazil curtail?. Sources: ONS Open Data and CCEE (hourly PLD) — CC-BY.
  • Grid connection queue — Basic Grid access, by substation. Sources: ONS Open Data, ANEEL, MME and EPE.
  • Pre-budget — Honest triage before the distributor's connection quote. Sources: ANEEL Resolutions 1,000 / 1,059 / 1,098, Law 14,300, PRODIST Module 3; public utility maps where available.
  • BESS — Where is a utility-scale battery worth it in Brazil?. Sources: CCEE (PLD), ANEEL (TUST), ONS (curtailment), EPE and MME.
  • SimSolar — Is rooftop solar worth it at your home?. Sources: Brazilian Solar Energy Atlas (INPE/LABREN, 2017); ANEEL-approved tariffs (compilation) and Greener costs.
  • Data centers — AI data centers in Brazil — map and ranking. Sources: Sources cited for each data center (announcements, public bodies and trade press).
  • Capex ANEEL — Where does the money go in a Brazilian power plant?. Sources: Each line is sourced or explicitly marked as an assumption.
  • Mine BTC — Mine bitcoin at home or buy it?. Sources: Open mwhash math (frontier.py); all-in residential B1 tariff (ANEEL); measured HaaS premium (NiceHash order book).
  • Where to mine — Where in the world is power cheap enough to mine bitcoin?. Sources: mwhash frontier (frontier.py); regional mining power prices (industrial/PPA), legality and livability, each cited to a source.
  • Buzz — What's hot in the power sector, measured — not guessed. Sources: ANEEL/MME/EPE/ONS news (official) and Canal Energia/MegaWhat (press), collected by a versioned ETL.

Found a figure without a source, an incorrect calculation or an undeclared gap? Email contato@matheusdm.com. Fixing it quickly is part of the standard too.