Power First. The Power Intelligence Platform.
Live capacity, pricing, carbon intensity and interconnection data across 60+ power grids · tap any region, scroll to zoom
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Live grid
Utilization
<60% load
60–85%
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Data Confidence
● White pip on a market = live API data (EIA, Open-Meteo)
◑ Recent data, updated several times a week
◐ Grid model estimate (no pip on the map)
⚡ Largest system capacity marginDe-rated capacity minus peak demand, market-wide. A system-conditions snapshot, not a read on whether a site can connect: that depends on the local substation and the connection queue.
Data Centers & AIPGIQ Score: where to build next →
Industrial & CommercialPrice volatility & grid stress →
Energy InvestorsCurtailment, spreads & renewables →
Battery & StorageDaily price spread = storage revenue →
🌡 Grid Conditions Today · what the weather is doing to demand right now, region by region
Live temperature versus an 18°C comfort baseline tells you which grids are under cooling or heating stress today, and therefore where prices, peaks and curtailment risk are elevated right now. A grid running hot is competing harder for every megawatt, exactly when a new large load would feel it.
● CDD/HDD from Open-Meteo current temp (18°C baseline). Demand classification derived. Peak-season context from historical patterns.
⚡ All Regions · Live Prices, Carbon & Load
| Region | $/MWh | 24h High | 24h Low | Trend | Carbon |
|---|
● US: EIA live · ● Ontario: IESO live · ● Europe: ENTSO-E live · ◑ South Africa: Eskom recent · ◐ Other regions: model estimates · Methodology
⏳ Time to Connect · the real gate for a new large load, longest waits first
◐ Connection-time read curated from grid-operator and reform reporting (PJM, NESO, AEMO and others). Interconnection-queue position, not generation supply, is usually what decides whether a project can energize. Markets without a defensible read are not shown.
🌀 Cheap-Power Windows · where a flexible load buys surplus low, cheapest hours first
◐ Cheapest-hour price is modelled from each grid's daily price cycle and current price; renewable share and installed battery fleet are real where tracked. A load that shifts into the cheap hours, or a co-located battery, captures this surplus. Not a metered curtailment figure.
🔌 Most Stretched at Peak · peak demand vs firm capacity; a fuller bar is more stretched
🏗 System-level room · Top regions for new data centers, AI clusters & industrial load
◐ System firm margin = de-rated (firm) capacity − peak demand, market-wide. Not local capacity at a specific substation. Directional screen for siting new load, not a connection guarantee; local interconnection-queue capacity is the binding constraint.
⚡ Ramp Coverage · dispatchable flexibility vs the variable renewables it must balance
◐ Grids ranked by variable-renewable share. Buffer = fast-dispatchable plant (gas, oil, hydro, storage, biofuel) as a cushion for wind+solar variability. Share of installed capacity.
🔋 Storage Arbitrage · daily price spread a battery can capture
🌿 Cleanest Grids · renewables + nuclear share, by region
◐ Calculated from regional fuel mix across all tracked grids.
💵 Cost of Generation · lifetime-average cost (LCOE) by technology, $/MWh · pick your region for local costs, the global range is only context
◐ Unsubsidized levelized cost of energy (LCOE), from Lazard LCOE+ and IRENA, with nuclear variants from the IEA/NEA Projected Costs study and NEI. LCOE already spreads each plant's upfront cost across its full operating life, so it is the lifetime-average cost per MWh. For nuclear that life is long and running costs are low, so an existing or life-extended plant is about $30 to $45/MWh, among the cheapest power here. New nuclear's cost is set by capex, build time and above all the cost of capital: at a low, regulated discount rate (China, Korea) it is roughly $55 to $105/MWh, while a Western merchant-financed first-of-a-kind with overruns runs $142 to $222/MWh. Renewables' low LCOE excludes the cost of firming intermittency (storage, backup, transmission). Local costs vary; this is the global picture.
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Research & Guides
In-depth, sourced guides on where and how to build power-intensive projects. Each opens in a new tab.
🏅
PGIQ Ratings & Reports
Our proprietary tier rating for siting a large new load, market by market, with full reports, evidence, sources and the latest rating actions.
View ratings →
🤖
Build with PowerGridIQ (API & MCP)
Give your AI agents a reasoned, cited siting and scheduling decision across 84 markets. JSON API, Model Context Protocol (MCP) server, live signals and rating-change webhooks. Free to evaluate.
For developers →
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Data Centers & AI
Where to site 100 MW-plus compute load: system-level room, connection speed, price and carbon across 60-plus grids.
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On-Site Power & Fuel Cells
The 90-day bridge around the grid queue: the fuel-cell wave, carbon break-even of on-site gas, and the hydrogen question.
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Virtual Power Plants
How aggregated batteries, heat pumps, EVs and flexible load firm the grid, why Europe leads, and how a large load can earn from it.
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Siting Case Study
A worked example of choosing a site for a large new load, weighing power, connection, price and carbon end to end.
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Grid Weather by City
Live weather, 7-day forecast and a heating/cooling degree-day demand read for top data-center metros, tied to their grid.
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More guides are added over time. Figures in each are drawn from public sources and cited on the page.
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Grid Overview
Fuel Mix
Zone Balance
⚡ Interconnection Flows