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India Energy Atlas (energymap.in) — Derived Indian grid analytics layer: hourly state-level electricity demand (live state-despatch-agency scrape where metered, otherwise a proprietary disaggregation pipeline), hourly load/net-load/wind/solar shapes, hour-of-day x day demand heatmaps, load duration curves, day-ahead and day-2 hourly demand forecasts with uncertainty bands, per-state fuel mix and a demand-weighted carbon-intensity scorecard including greenest-hour identification, district/sector disaggregation of discom demand, state tariff slabs with 10-year tariff history by consumer categor…
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Derived Indian grid analytics layer: hourly state-level electricity demand (live state-despatch-agency scrape where metered, otherwise a proprietary disaggregation pipeline), hourly load/net-load/wind/solar shapes, hour-of-day x day demand heatmaps, load duration curves, day-ahead and day-2 hourly demand forecasts with uncertainty bands, per-state fuel mix and a demand-weighted carbon-intensity scorecard including greenest-hour identification, district/sector disaggregation of discom demand, state tariff slabs with 10-year tariff history by consumer category, and grid infrastructure/reliability views — plus published forecast-error series (rolling 30-day and 90-day MAPE, 48-hour accuracy by horizon, spike-accuracy, and model version).
Scale Per state: 24 hourly values per day across loadFrom 10 yearsCoverage Utilities · Industrials
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India Energy Atlas (energymap.in) — Derived Indian grid analytics layer: hourly state-level electricity demand (live state-despatch-agency scrape where metered, otherwise a proprietary disaggregation pipeline), hourly load/net-load/wind/solar shapes, hour-of-day x day demand heatmaps, load duration curves, day-ahead and day-2 hourly demand forecasts with uncertainty bands, per-state fuel mix and a demand-weighted carbon-intensity scorecard including greenest-hour identification, district/sector disaggregation of discom demand, state tariff slabs with 10-year tariff history by consumer categor…
Energymap offers (Alternative, Esg, Geospatial, Price) — Per state: 24 hourly values per day across load, net load, wind and solar, plus heatmaps (24 x 30 days), load-duration curves, forecast series with bands, hourly carbon intensity and daily error metrics — roughly 100+ million hourly state-series points if extrapolated across ~36 states/UTs over multiple years. Directly observable on this one page: live hourly demand (14,448 MW), peak 21,614 MW against 11,609 MW base, and 48-hour accuracy over n=19 and n=18 day windows..
Hourly marginal emissions accounting for near-real-time corporate electricity reporting and hourly match claims (greenest-hour identification is directly usable for 24/7 CFE accounting); grid carbon-intensity signals for EV charging, data-centre workload shifting and demand-response timing; industrial tariff and load arbitrage for energy-cost modelling; state-level demand nowcasting as a proxy for economic and industrial activity; training and benchmarking load-forecasting models against published per-state error series; solar/wind curtailment and capture-rate analysis; and — the unusual one — a published forecast-accuracy and data-provenance layer usable as a meta-label set for anyone building on Indian grid data.
The data is with 10 years of history.
Coverage spans APAC, UK; Electric Utilities, Research & Consulting Services; alternative, esg, geospatial, price; equities, commodities, structured_products.
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