Discovery Graph
Curated relationship map of major topics, datasets, and methodology. It shows representative connections across the site rather than an exhaustive graph of every page and edge. Machine-readable JSON is available for crawlers and programmatic discovery.
Best for: Understanding site structure and the machine-readable topic map.
Major Topic Clusters
- Consumer electricity economics — Electricity cost, Average electricity bill, Electricity affordability, Electricity cost of living
- Price dynamics — Electricity inflation, Electricity price volatility, Electricity trends
- Business / infrastructure — Business electricity cost decisions, Data center electricity cost, AI energy demand, Grid capacity and electricity demand
- Energy transition — Solar vs grid electricity cost, Battery backup electricity cost
- Market structure — Power generation mix, Electricity markets, Regional electricity markets, Electricity generation cost drivers
- Data / methodology / discovery — Future expansion framework, Electricity data, Datasets, Methodology, Electricity topics, Entity registry
Key Discovery Relationships
A few high-level relationships across the site:
- Electricity affordability depends on electricity prices and cost data.
- Volatility and inflation help explain electricity cost dynamics over time.
- Electricity data and datasets support multiple topic pages and rankings.
- Methodology explains how calculations, rankings, and derived metrics work.
Machine-Readable Graph
A lightweight, curated JSON subset of major nodes and relationships is available for programmatic discovery and LLM crawlers:
/discovery-graph.json — Topic and data relationship graph (JSON)