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TOP-Energy (GFaI e.V. — Society for the Advancement of Applied Computer Science), Berlin — Latent two-part asset: (1) a normalized, machine-readable German grid-charge and regulatory reference dataset — network-usage/demand charges (also called service price, performance price, grid usage charge) by voltage level and grid operator, plus annually published peak load time windows per operator/voltage band, and the StromNEV §19 atypical-grid-use materiality thresholds; (2) customer-side quarter-hourly industrial load profiles with the peak-load-window demand reductions actually achieved, held as…
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Latent two-part asset: (1) a normalized, machine-readable German grid-charge and regulatory reference dataset — network-usage/demand charges (also called service price, performance price, grid usage charge) by voltage level and grid operator, plus annually published peak load time windows per operator/voltage band, and the StromNEV §19 atypical-grid-use materiality thresholds; (2) customer-side quarter-hourly industrial load profiles with the peak-load-window demand reductions actually achieved, held as modelling inputs inside the tool. Neither the tariff table nor the load profiles exist as a licensable bulk product today — network operators publish windows per operator in scattered PDF/HTML, and load profiles stay inside each utility.
From 7 yearsCoverage Utilities · Information TechnologyAsset class Equities · Commodities
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TOP-Energy (GFaI e.V. — Society for the Advancement of Applied Computer Science), Berlin — Latent two-part asset: (1) a normalized, machine-readable German grid-charge and regulatory reference dataset — network-usage/demand charges (also called service price, performance price, grid usage charge) by voltage level and grid operator, plus annually published peak load time windows per operator/voltage band, and the StromNEV §19 atypical-grid-use materiality thresholds; (2) customer-side quarter-hourly industrial load profiles with the peak-load-window demand reductions actually achieved, held as…
Gfai offers (Alternative, Reference, Fundamental) — Est. 1-4M quarter-hourly load points per 100 modelled connections per year (35,045 points per connection per year); plus a reference layer covering essentially all German distribution and transmission operators × 3 voltage bands × 4 seasonal windows annually — on the order of tens of thousands of normalized fee/window records per tariff year.
Industrial electricity demand-charge forecasting; grid capacity and hosting-capacity planning for distribution operators; demand-response and peak-shaving programme design; industrial demand-condition indices for German manufacturing; cost-benefit modelling of behind-the-meter storage and curtailment; utility tariff benchmarking; training of load-forecasting models labelled with achieved in-window demand reduction.
The data is with 7 years of history.
Coverage spans Europe; Electric Utilities, Application Software; alternative, reference, fundamental; equities, commodities.
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