Demand — actual & forecast
issued 3 Oct, 02:00 IST
Meghalaya is drawing 131 MW of electricity at the current hour (2026-10-03T03:00:00+05:30 IST), per the India Energy Atlas state-page-live snapshot.
The latest modeled in-state generation mix for Meghalaya is dominated by Hydro at 100.0%. Grid carbon intensity is 24 gCO2/kWh.
Hourly disaggregation for Meghalaya is awaiting the cross-project Atlas DISCOM Disaggregation tier-A endpoint; once it lands the live page will surface P10/P50/P90 bands without any FE change.
The day-ahead hourly demand forecast for Meghalaya publishes a ±1.5σ band over the next 24 hours — per-state model v20 (holdout MAPE 4.8%); level-calibrated x1.68 vs canonical trailing 24h.
Composed at 2026-10-03T03:00:00+05:30
Weather sensitivity
Slope
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R²
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Confidence
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Demand's sensitivity to temperature (MW per degree) is what turns a heatwave forecast into a load forecast. A high, tight slope means cooling load dominates and peaks are weather-driven and forecastable; a weak or noisy slope means the swing factor is something else — industrial shifts, agriculture, or a data gap worth questioning.
We do not show a modeled-vs-actual chart for Meghalaya because no audited live SLDC interval served-load actual; the available source is modeled, a daily peak, dead/restricted, or otherwise outside the pinned L(s,t) estimand. Accuracy scoring requires an independent interval actual.
no forecast-accuracy rows accumulated yet for this state; the nightly writer needs replayed (forecast, actual) pairs before scoring.
A carbon scorecard isn't published for Meghalaya yet — it appears once enough hourly generation history has accumulated.
Policy & RE Transition
Latest actual
Shortfall
A Renewable Purchase Obligation is statutory, not aspirational: a state utility must source a set share of its energy from renewables or pay a penalty. A widening shortfall against the MNRE trajectory is an early signal of either a procurement gap or a banked-REC scramble at year-end — both move power and REC prices.
We do not show a solar capture-rate for Meghalaya because no audited live SLDC interval served-load actual; the available source is modeled, a daily peak, dead/restricted, or otherwise outside the pinned L(s,t) estimand. Accuracy scoring requires an independent interval actual.
Grid cleanliness
Each cell is one hour's grid carbon intensity. Greener = cleaner, browner = more fossil — the green hours are when discretionary load is cheapest on emissions.
SOURCE: CEA carbon factors · UPDATED 04:30 IST
Coverage: frequency since 2025-09-19; congestion since 2026-05-22; demand records since 2018-01-01; news since 2026-05-22.
Daily analytics cache
30D avg peak
2026-10-03
YoY peak shift
baseline window
Load factor
2 daily rows
Shortage days
0 MU
30D carbon avg
derived daily layer
Weather-load link
joined weather samples
Data centers
0 MW mapped
Fiber routes
31 route segments
Digital infra basis
State bounds route estimate
Seasonality
Monthly average daily peak load
An hourly residential cost curve isn't published for Meghalaya yet — it appears once the underlying tariff data is available.
Upstream: atlas-discom-disaggregation · /v1/discom-disaggregation/hourly-residential-demand
Residential Tariff
| Schedule | Slab | Energy rate |
|---|---|---|
| DLT | 0–100 kWh | ₹5.00/kWh |
| DHT | 0+ kVAh | ₹5.85/kVAh |
| KJT-METERED | 0–30 kWh | ₹4.57/kWh |
| DLT | 100–200 kWh | ₹5.04/kWh |
| DLT | 200+ kWh | ₹5.10/kWh |
10-Year Tariff History
Published slab rates · no derived averages
DISCOM Health
AT&C (Aggregate Technical & Commercial) loss is the single clearest read on a distribution utility's solvency. Every percentage point is power delivered but never billed or collected; a worsening trend tells you a DISCOM is heading toward the payment delays that ripple back to gencos and IPPs.