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Hitachi Energy — Market Insights (formerly Velocity Suite) — Consolidated North American grid and energy-market reference dataset: 30+ years of history across 3,000+ data sources, spanning generation, transmission, fuel sourcing, pricing, weather impacts and system load for the US, Canada and Mexico, delivered with integrated entity relationships (generation–transmission–substation linkage, interconnection queues, pricing and load), geospatial geometry, and a proprietary research layer added on top of the public inputs. Access is via API, dashboards and a built-in virtual analyst, with integr…
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Consolidated North American grid and energy-market reference dataset: 30+ years of history across 3,000+ data sources, spanning generation, transmission, fuel sourcing, pricing, weather impacts and system load for the US, Canada and Mexico, delivered with integrated entity relationships (generation–transmission–substation linkage, interconnection queues, pricing and load), geospatial geometry, and a proprietary research layer added on top of the public inputs. Access is via API, dashboards and a built-in virtual analyst, with integration to an AI forecasting layer for solar, wind, load and market prices.
Scale Stated scope: 3From 30 yearsCoverage Industrials · Financials
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Hitachi Energy — Market Insights (formerly Velocity Suite) — Consolidated North American grid and energy-market reference dataset: 30+ years of history across 3,000+ data sources, spanning generation, transmission, fuel sourcing, pricing, weather impacts and system load for the US, Canada and Mexico, delivered with integrated entity relationships (generation–transmission–substation linkage, interconnection queues, pricing and load), geospatial geometry, and a proprietary research layer added on top of the public inputs. Access is via API, dashboards and a built-in virtual analyst, with integr…
Hitachienergy offers (Fundamental, Geospatial, Price, Reference) — Stated scope: 3,000+ source datasets over 30+ years across three countries. A grid asset registry plus node-level pricing and hourly load and weather series at that depth is a multi-terabyte store — asset registries run to hundreds of thousands of records, while hourly series across thousands of nodes and zones for three decades reach billions of rows. The relationship layer (generation-transmission-substation linkages, queue-to-upgrade mappings) is smaller in volume but represents the bulk of the accumulated manual effort..
Utility and IPP investment planning and portfolio benchmarking; renewable and storage asset siting against transmission, queue position and local pricing; grid infrastructure demand forecasting for equipment vendors and their investors; commodity and fuel-supply analysis; weather-risk and load-forecast model input; regulatory and transmission-planning analysis; and, as the non-obvious angle, a geospatially grounded graph of generation-to-transmission relationships across 30+ years, which is a rare training substrate for graph and spatial models of grid expansion, plus a long clean price-and-load panel for time-series foundation-model pretraining.
The data is with 30 years of history.
Coverage spans US, Japan, Europe; Heavy Electrical Equipment, Financial Exchanges & Data; fundamental, geospatial, price, reference; equities, fixed_income, commodities.
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