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HomeStatesOpen a StateAndaman and Nicobar IslandsAndhra PradeshArunachal PradeshAssamBiharChandigarhChhattisgarhDadra and Nagar Haveli and Daman and DiuDelhiGoaGujaratHaryanaHimachal PradeshJammu and KashmirLadakhJharkhandKarnatakaKeralaLakshadweepMadhya PradeshMaharashtraManipurMeghalayaMizoramNagalandOdishaPuducherryPunjabRajasthanSikkimTamil NaduTelanganaTripuraUttar PradeshUttarakhandWest BengalControl Room

Sikkim

Download state pack

Right now — live state snapshot

State grid status — key live tiles

as of 03:30 IST
  • Demand now
    88MW
    ▼1.8%
  • Peak today
    92MW
    ▼39.6%
  • Renewable share
    No data
    this hour · State Fuel Mix Hourly feed quiet
  • Carbon intensity
    24gCO₂/kWh
    ◆0.0%
  • IEX clearing
    No data
    this hour · feed quiet
  • Frequency
    49.99Hz
  • Net interchange
    ↓-77MW

Demand

Demand today — actual, forecast, and prior 7 days

Fuel mix

Fuel mix today — current mix and forecast

  • hydro · 100.0%
  • solar — no feed

Carbon

Carbon today — emitted and forecast

Emitted today
0 kt CO₂
Forecast EOD(climatology, low conf.)
0 kt CO₂
+0 kt P50 (band shows P10–P90)

Hourly operating record

Hourly operating record — today

Forecast

Sikkim — 48-hour demand & generation forecast

Demand & Forecast

48h forecast

Next 48 hours

Modeled

Loadhour of day · IST

TodayYesterday30-day avg

Net loadhour of day · IST

TodayYesterday30-day avg

Windhour of day · IST

TodayYesterday30-day avg

Solarhour of day · IST

TodayYesterday30-day avg

Historical trends

Loading two-year trace

Loading weather correlation

Loading multi-year demand

Forecast

Sikkim — demand & generation forecast for today

Demand — actual & forecast

issued 19 Aug, 03:00 ISTEstimated

BaselinePeak 0.0 GW · 18:00 IST
Full 48h forecast →

Generation by fuel — current mix & forecast

issued 19 Aug, 03:00 ISTEstimated

  • Hydro
  • Imports
Forecast accuracy (MAPE) & methodology

Sikkim — Forecast vs metered (90-day MAPE)

state-mape-daily

Loading 90-day MAPE history for Sikkim

Sikkim — 48h forecast accuracy (median daily-MAPE)

state_forecast_48h

Loading 48h forecast scorecard for Sikkim

Sikkim — Carbon scorecard

SLDC fuel mix

Loading carbon scorecard for Sikkim

Fuel mix — full history

Sikkim · generation mix · back to 2020

Loading production history…

Renewable Purchase Obligation compliance

Loading RPO compliance

Sikkim — Solar capture-rate

solar-capture-rate

Loading solar capture-rate for Sikkim

Loading carbon heatmap

Loading fuel-mix share

State at a glance

Loading POSOCO visualizations

Sikkim — Event timeline

frequency × congestion × demand records × news

Reliability calendar and historical signals

Loading daily analytics

Sikkim — Residential cost curve

residential-cost-curve

Loading residential cost curve for Sikkim

Infrastructure

Subsidies and incentives

Subsidies and incentives for Sikkim

Not collected yetNot yet populated for this state — pull it the moment it lands via the API.View API catalogue →

Tariff slabs and category explorer

Loading tariff explorer

DISCOM AT&C losses

Loading DISCOM health

Wire this state into your pipeline:API catalogue

Sikkim — frequently asked

What's the current electricity demand in Sikkim?

Sikkim is drawing 88 MW as of 2026-08-18T21:00:00+00:00 IST, sourced from the India Energy Atlas state-page-live snapshot.

What's Sikkim's renewable energy share right now?

Renewables (solar, wind, hydro, nuclear) account for 100.0% of in-state generation in Sikkim as of 2026-08-18T21:00:00+00:00 IST.

What's Sikkim's grid carbon intensity?

Sikkim's current grid carbon intensity is 24 gCO2/kWh as of 2026-08-18T21:00:00+00:00 IST, computed from the metered fuel mix using CEA v18 lifecycle emission factors.

When does Sikkim's peak demand hour usually occur?

Today's peak demand in Sikkim fell at 00:30 IST. Long-run peaks land in the evening (7-9 pm IST) on the residential lighting load.

Which DISCOM serves Sikkim?

Distribution in Sikkim is handled by one or more state-licensed DISCOMs; see the DISCOM card on the state page for the live roster.

How accurate is energymap.in's Sikkim data?

The day-ahead demand forecast for Sikkim runs at single-digit MAPE; we publish the rolling 30-day MAPE on the State MAPE History card so readers can audit it themselves. Live demand comes from the SLDC scrape when available; non-SLDC states use the Atlas DISCOM disaggregation pipeline (Tier-A/B/C provenance, P10/P50/P90 bands).

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PrivacyTermshello@energymap.in
26 d ago·energy.economictimes.indiatimes.com—22 bodies recovered, search ops underway to trace 3 more workers in Sikkim tunnel collapse27 d ago·energy.economictimes.indiatimes.com—Sikkim tunnel collapse: 20 workers dead, efforts on to rescue five trapped28 d ago·energy.economictimes.indiatimes.com—10 killed after gas burst triggers explosion at NHPC's Teesta Stage VI hydel project in Sikkim

What the data says — Sikkim

Sikkim is drawing 88 MW of electricity at the current hour (2026-08-19T03:00:00+05:30 IST), per the India Energy Atlas state-page-live snapshot.

The latest modeled in-state generation mix for Sikkim is dominated by Hydro at 100.0%. Grid carbon intensity is 24 gCO2/kWh.

Hourly disaggregation for Sikkim 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 Sikkim publishes a ±1.5σ band over the next 24 hours — based on 30 similar days across 2 years; level-calibrated x1.68 vs canonical trailing 24h.

Composed at 2026-08-19T03:00:00+05:30

Two-Year Demand Trace

723 daily rows

Latest peak

90 MW

2-yr peak

139 MW

Most recent: 2026-08-14

Weather sensitivity

Demand vs temperature (7d window)

Weather correlation data is not available for this state yet.

Slope

—

R²

—

Confidence

—

Source: Weather correlation
▸Why this matters

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.

Sikkim — Forecast vs metered (90-day MAPE)

state-mape-daily
Not on the honesty list

We do not show a modeled-vs-actual chart for Sikkim because no live SLDC scrape; only modeled + monthly-synthesized data exists for this jurisdiction. Accuracy scoring requires an independent live actual.

Sikkim — 48h forecast accuracy (median daily-MAPE)

state_forecast_48h
Not scored
Next-day (0–24h)
—
no live rows
Day-2 (24–48h)
—
no live rows

no forecast-accuracy rows accumulated yet for this state; the nightly writer needs replayed (forecast, actual) pairs before scoring.

No live forecast-vs-actual rows are scored for Sikkim.

Median daily-MAPE on the 48h-ahead forecast (normal-day cohort), graded vs the metered actual. The verified <5% badge is earned on the leak-free IEA-1763 spike — not inferred from the live number.

Sikkim — Carbon scorecard

SLDC fuel mix
90-day average carbon intensity26gCO₂/kWh · demand-weighted mean
Greenest hour
24gCO₂/kWh
Mon · 00:00 IST · hydro
Dirtiest hour
24gCO₂/kWh
Mon · 00:00 IST · hydro

Median gCO₂/kWh · day-of-week × hour-of-day (IST)

000102030405060708091011121314151617181920212223
Mon
Tue
Wed
Thu
Fri
Sat
Sun
greenerdirtier
Window: 90d · cells with data: 168/168 · cell-vs-naive deviation: ±2

State-mean fuel share: hydro 100% · imports 0% · coal 0%

Policy & RE Transition

RPO Compliance

Renewable Purchase Obligation: MNRE target trajectory vs SERC-reported actual compliance.

API

data_gap

No published RPO targets or SERC compliance figures are wired up for this state yet. The MNRE central trajectory applies as a default; the SERC compliance report has not been ingested.

Latest actual

—%

Shortfall

—pp
—Shortfall pending
No RPO trajectory or compliance rows for this state.
Total target
Solar
Non-solar
Actual compliance
Source: mnre_rpo_trajectory_plus_serc_compliance_reports
▸Why this matters

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.

IndiaEnergyAtlas.in
Source: rpo-compliance·Coverage: MNRE FY23-FY30 trajectory + SERC compliance reports

Sikkim — Solar capture-rate

solar-capture-rate
Not on the honesty list

We do not show a solar capture-rate for Sikkim because no live SLDC scrape; only modeled + monthly-synthesized data exists for this jurisdiction. Accuracy scoring requires an independent live actual.

Grid cleanliness

Carbon-intensity heatmap — hour of day × last 31 days

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.

00
06
12
18
20 Jul
25 Jul
30 Jul
4 Aug
9 Aug
14 Aug
19 Aug
Hover a cell for the hour reading
24
750cleaner → dirtier

SOURCE: CEA carbon factors · UPDATED 02:30 IST

Not collected yetNot yet populated for this state — pull it the moment it lands via the API.View API catalogue →

Reliability — POSOCO PSP

Daily peak, shortage and frequency for Sikkim

1,407 day rows · 3-year window

All-time state peak

139MW

2025-02-10

Days with shortage

0days

Within window

Cumulative shortage

0.0MU

Energy not served

Worst single day

0.0MU

No shortage in window

Adequacy calendar

Energy shortage by day

Each square is one day. Color intensity = energy shortage (MU).

00
20240 days with shortage
JanFebMarAprMayJunJulAugSepOctNovDec2024-01-01: 02024-01-02: 02024-01-03: 02024-01-04: 02024-01-05: 02024-01-06: 02024-01-07: 02024-01-08: 02024-01-09: 02024-01-10: 02024-01-11: 02024-01-12: 02024-01-13: 02024-01-14: 02024-01-15: 02024-01-16: 02024-01-17: 02024-01-18: 02024-01-19: 02024-01-20: 02024-01-21: 02024-01-22: 02024-01-23: 02024-01-24: 02024-01-25: 02024-01-26: 02024-01-27: 02024-01-28: 02024-01-29: 02024-01-30: 02024-01-31: 02024-02-01: 02024-02-02: 02024-02-03: 02024-02-04: 02024-02-05: 02024-02-06: 02024-02-07: 02024-02-08: 02024-02-09: 02024-02-10: 02024-02-11: 02024-02-12: 02024-02-13: 02024-02-14: 02024-02-15: 02024-02-16: 02024-02-17: 02024-02-18: 02024-02-19: 02024-02-20: 02024-02-21: 02024-02-22: 02024-02-23: 02024-02-24: 02024-02-25: 02024-02-26: 02024-02-27: 02024-02-28: 02024-02-29: 02024-03-01: 02024-03-02: 02024-03-03: 02024-03-04: 02024-03-05: 02024-03-06: 02024-03-07: 02024-03-08: 02024-03-09: 02024-03-10: 02024-03-11: 02024-03-12: 02024-03-13: 02024-03-14: 02024-03-15: 02024-03-16: 02024-03-17: 02024-03-18: 02024-03-19: 02024-03-20: 02024-03-21: 02024-03-22: 02024-03-23: 02024-03-24: 02024-03-25: 02024-03-26: 02024-03-27: 02024-03-28: 02024-03-29: 02024-03-30: 02024-03-31: 02024-04-01: 02024-04-02: 02024-04-03: 02024-04-04: 02024-04-05: 02024-04-06: 02024-04-07: 02024-04-08: 02024-04-09: 02024-04-10: 02024-04-11: 02024-04-12: 02024-04-13: 02024-04-14: 02024-04-15: 02024-04-16: 02024-04-17: 02024-04-18: 02024-04-19: 02024-04-20: 02024-04-21: 02024-04-22: 02024-04-23: 02024-04-24: 02024-04-25: 02024-04-26: 02024-04-27: 02024-04-28: 02024-04-29: 02024-04-30: 02024-05-01: 02024-05-02: 02024-05-03: 02024-05-04: 02024-05-05: 02024-05-06: 02024-05-07: 02024-05-08: 02024-05-09: 02024-05-10: 02024-05-11: 02024-05-12: 02024-05-13: 02024-05-14: 02024-05-15: 02024-05-16: 02024-05-17: 02024-05-18: 02024-05-19: 02024-05-20: 02024-05-21: 02024-05-22: 02024-05-23: 02024-05-24: 02024-05-25: 02024-05-26: 02024-05-27: 02024-05-28: 02024-05-29: 02024-05-30: 02024-05-31: 02024-06-01: 02024-06-02: 02024-06-03: 02024-06-04: 02024-06-05: 02024-06-06: 02024-06-07: 02024-06-08: 02024-06-09: 02024-06-10: 02024-06-11: 02024-06-12: 02024-06-13: 02024-06-14: 02024-06-15: 02024-06-16: 02024-06-17: 02024-06-18: 02024-06-19: 02024-06-20: 02024-06-21: 02024-06-22: 02024-06-23: 02024-06-24: 02024-06-25: 02024-06-26: 02024-06-27: 02024-06-28: 02024-06-29: 02024-06-30: 02024-07-01: 02024-07-02: 02024-07-03: 02024-07-04: 02024-07-05: 02024-07-06: 02024-07-07: 02024-07-08: 02024-07-09: 02024-07-10: 02024-07-11: 02024-07-12: 02024-07-13: 02024-07-14: 02024-07-15: 02024-07-16: 02024-07-17: 02024-07-18: 02024-07-19: 02024-07-20: 02024-07-21: 02024-07-22: 02024-07-23: 02024-07-24: 02024-07-25: 02024-07-26: 02024-07-27: 02024-07-28: 02024-07-29: 02024-07-30: 02024-07-31: 02024-08-01: 02024-08-02: 02024-08-03: 02024-08-04: 02024-08-05: 02024-08-06: 02024-08-07: 02024-08-08: 02024-08-09: 02024-08-10: 02024-08-11: 02024-08-12: 02024-08-13: 02024-08-14: 02024-08-15: 02024-08-16: 02024-08-17: 02024-08-18: 02024-08-19: 02024-08-20: 02024-08-21: 02024-08-22: 02024-08-23: 02024-08-24: 02024-08-25: 02024-08-26: 02024-08-27: 02024-08-28: 02024-08-29: 02024-08-30: 02024-08-31: 02024-09-01: 02024-09-02: 02024-09-03: 02024-09-04: 02024-09-05: 02024-09-06: 02024-09-07: 02024-09-08: 02024-09-09: 02024-09-10: 02024-09-11: 02024-09-12: 02024-09-13: 02024-09-14: 02024-09-15: 02024-09-16: 02024-09-17: 02024-09-18: 02024-09-19: 02024-09-20: 02024-09-21: 02024-09-22: 02024-09-23: 02024-09-24: 02024-09-25: 02024-09-26: 02024-09-27: 02024-09-28: 02024-09-29: 02024-09-30: 02024-10-01: 02024-10-02: 02024-10-03: 02024-10-04: 02024-10-05: 02024-10-06: 02024-10-07: 02024-10-08: 02024-10-09: 02024-10-10: 02024-10-11: 02024-10-12: 02024-10-13: 02024-10-14: 02024-10-15: 02024-10-16: 02024-10-17: 02024-10-18: 02024-10-19: 02024-10-20: 02024-10-21: 02024-10-22: 02024-10-23: 02024-10-24: 02024-10-25: 02024-10-26: 02024-10-27: 02024-10-28: 02024-10-29: 02024-10-30: 02024-10-31: 02024-11-01: 02024-11-02: 02024-11-03: 02024-11-04: 02024-11-05: 02024-11-06: 02024-11-07: 02024-11-08: 02024-11-09: 02024-11-10: 02024-11-11: 02024-11-12: 02024-11-13: 02024-11-14: 02024-11-15: 02024-11-16: 02024-11-17: 02024-11-18: 02024-11-19: 02024-11-20: 02024-11-21: 02024-11-22: 02024-11-23: 02024-11-24: 02024-11-25: 02024-11-26: 02024-11-27: 02024-11-28: 02024-11-29: 02024-11-30: 02024-12-01: 02024-12-02: 02024-12-03: 02024-12-04: 02024-12-05: 02024-12-06: 02024-12-07: 02024-12-08: 02024-12-09: 02024-12-10: 02024-12-11: 02024-12-12: 02024-12-13: 02024-12-14: 02024-12-15: 02024-12-16: 02024-12-17: 02024-12-18: 02024-12-19: 02024-12-20: 02024-12-21: 02024-12-22: 02024-12-23: 02024-12-24: 02024-12-25: 02024-12-26: 02024-12-27: 02024-12-28: 02024-12-29: 02024-12-30: 02024-12-31: 0
20250 days with shortage
JanFebMarAprMayJunJulAugSepOctNovDec2025-01-01: 02025-01-02: 02025-01-03: 02025-01-04: 02025-01-05: 02025-01-06: 02025-01-07: 02025-01-08: 02025-01-09: 02025-01-10: 02025-01-11: 02025-01-12: 02025-01-13: 02025-01-14: 02025-01-15: 02025-01-16: 02025-01-17: 02025-01-18: 02025-01-19: 02025-01-20: 02025-01-21: 02025-01-22: 02025-01-23: 02025-01-24: 02025-01-25: 02025-01-26: 02025-01-27: 02025-01-28: 02025-01-29: 02025-01-30: 02025-01-31: 02025-02-01: 02025-02-02: 02025-02-03: 02025-02-04: 02025-02-05: 02025-02-06: 02025-02-07: 02025-02-08: 02025-02-09: 02025-02-10: 02025-02-11: 02025-02-12: 02025-02-13: 02025-02-14: 02025-02-15: 02025-02-16: 02025-02-17: 02025-02-18: 02025-02-19: 02025-02-20: 02025-02-21: 02025-02-22: 02025-02-23: 02025-02-24: 02025-02-25: 02025-02-26: 02025-02-27: 02025-02-28: 02025-03-01: 02025-03-02: 02025-03-03: 02025-03-04: 02025-03-05: 02025-03-06: 02025-03-07: 02025-03-08: 02025-03-09: 02025-03-10: 02025-03-11: 02025-03-12: 02025-03-13: 02025-03-14: 02025-03-15: 02025-03-16: 02025-03-17: 02025-03-18: 02025-03-19: 02025-03-20: 02025-03-21: 02025-03-22: 02025-03-23: 02025-03-24: 02025-03-25: 02025-03-26: 02025-03-27: 02025-03-28: 02025-03-29: 02025-03-30: 02025-03-31: 02025-04-01: 02025-04-02: 02025-04-03: 02025-04-04: 02025-04-05: 02025-04-06: 02025-04-07: 02025-04-08: 02025-04-09: 02025-04-10: 02025-04-11: 02025-04-12: 02025-04-13: 02025-04-14: 02025-04-15: 02025-04-16: 02025-04-17: 02025-04-18: 02025-04-19: 02025-04-20: 02025-04-21: 02025-04-22: 02025-04-23: 02025-04-24: 02025-04-25: 02025-04-26: 02025-04-27: 02025-04-28: 02025-04-29: 02025-04-30: 02025-05-01: 02025-05-02: 02025-05-03: 02025-05-04: 02025-05-05: 02025-05-06: 02025-05-07: 02025-05-08: 02025-05-09: 02025-05-10: 02025-05-11: 02025-05-12: 02025-05-13: 02025-05-14: 02025-05-15: 02025-05-16: 02025-05-17: 02025-05-18: 02025-05-19: 02025-05-20: 02025-05-21: 02025-05-22: 02025-05-23: 02025-05-24: 02025-05-25: 02025-05-26: 02025-05-27: 02025-05-28: 02025-05-29: 02025-05-30: 02025-05-31: 02025-06-01: 02025-06-02: 02025-06-03: 02025-06-04: 02025-06-05: 02025-06-06: 02025-06-07: 02025-06-08: 02025-06-09: 02025-06-10: 02025-06-11: 02025-06-12: 02025-06-13: 02025-06-14: 02025-06-15: 02025-06-16: 02025-06-17: 02025-06-18: 02025-06-19: 02025-06-20: 02025-06-21: 02025-06-22: 02025-06-23: 02025-06-24: 02025-06-25: 02025-06-26: 02025-06-27: 02025-06-28: 02025-06-29: 02025-06-30: 02025-07-01: 02025-07-02: 02025-07-03: 02025-07-04: 02025-07-05: 02025-07-06: 02025-07-07: 02025-07-08: 02025-07-09: 02025-07-10: 02025-07-11: 02025-07-12: 02025-07-13: 02025-07-14: 02025-07-15: 02025-07-16: 02025-07-17: 02025-07-18: 02025-07-19: 02025-07-20: 02025-07-21: 02025-07-22: 02025-07-23: 02025-07-24: 02025-07-25: 02025-07-26: 02025-07-27: 02025-07-28: 02025-07-29: 02025-07-30: 02025-07-31: 02025-08-01: 02025-08-02: 02025-08-03: 02025-08-04: 02025-08-05: 02025-08-06: 02025-08-07: 02025-08-08: 02025-08-09: 02025-08-10: 02025-08-11: 02025-08-12: 02025-08-13: 02025-08-14: 02025-08-15: 02025-08-16: 02025-08-17: 02025-08-18: 02025-08-19: 02025-08-20: 02025-08-21: 02025-08-22: 02025-08-23: 02025-08-24: 02025-08-25: 02025-08-26: 02025-08-27: 02025-08-28: 02025-08-29: 02025-08-30: 02025-08-31: 02025-09-01: 02025-09-02: 02025-09-03: 02025-09-04: 02025-09-05: 02025-09-06: 02025-09-07: 02025-09-08: 02025-09-09: 02025-09-10: 02025-09-11: 02025-09-12: 02025-09-13: 02025-09-14: 02025-09-15: 02025-09-16: 02025-09-17: 02025-09-18: 02025-09-19: 02025-09-20: 02025-09-21: 02025-09-22: 02025-09-23: 02025-09-24: 02025-09-25: 02025-09-26: 02025-09-27: 02025-09-28: 02025-09-29: 02025-09-30: 02025-10-01: 02025-10-02: 02025-10-03: 02025-10-04: 02025-10-05: 02025-10-06: 02025-10-07: 02025-10-08: 02025-10-09: 02025-10-10: 02025-10-11: 02025-10-12: 02025-10-13: 02025-10-14: 02025-10-15: 02025-10-16: 02025-10-17: 02025-10-18: 02025-10-19: 02025-10-20: 02025-10-21: 02025-10-22: 02025-10-23: 02025-10-24: 02025-10-25: 02025-10-26: 02025-10-27: 02025-10-28: 02025-10-29: 02025-10-30: 02025-10-31: 02025-11-01: 02025-11-02: 02025-11-03: 02025-11-04: 02025-11-05: 02025-11-06: 02025-11-07: 02025-11-08: 02025-11-09: 02025-11-10: 02025-11-11: 02025-11-12: 02025-11-13: 02025-11-14: 02025-11-15: 02025-11-16: 02025-11-17: 02025-11-18: 02025-11-19: 02025-11-20: 02025-11-21: 02025-11-22: 02025-11-23: 02025-11-24: 02025-11-25: 02025-11-26: 02025-11-27: 02025-11-28: 02025-11-29: 02025-11-30: 02025-12-01: 02025-12-02: 02025-12-03: 02025-12-04: 02025-12-05: 02025-12-06: 02025-12-07: 02025-12-08: 02025-12-09: 02025-12-10: 02025-12-11: 02025-12-12: 02025-12-13: 02025-12-14: 02025-12-15: 02025-12-16: 02025-12-17: 02025-12-18: 02025-12-19: 02025-12-20: 02025-12-21: 02025-12-22: 02025-12-23: 02025-12-24: 02025-12-25: 02025-12-26: 02025-12-27: 02025-12-28: 02025-12-29: 02025-12-30: 02025-12-31: 0
20260 days with shortage
JanFebMarAprMayJunJulAugSepOctNovDec2026-01-01: 02026-01-02: 02026-01-03: 02026-01-04: 02026-01-05: 02026-01-06: 02026-01-07: 02026-01-08: 02026-01-09: 02026-01-10: 02026-01-11: 02026-01-12: 02026-01-13: 02026-01-14: 02026-01-15: 02026-01-16: 02026-01-17: 02026-01-18: 02026-01-19: 02026-01-20: 02026-01-21: 02026-01-22: 02026-01-23: 02026-01-24: 02026-01-25: 02026-01-26: 02026-01-27: 02026-01-28: 02026-01-29: 02026-01-30: 02026-01-31: 02026-02-01: 02026-02-02: 02026-02-03: 02026-02-04: 02026-02-05: 02026-02-06: 02026-02-07: 02026-02-08: 02026-02-09: 02026-02-10: 02026-02-11: 02026-02-12: 02026-02-13: 02026-02-14: 02026-02-15: 02026-02-16: 02026-02-17: 02026-02-18: 02026-02-19: 02026-02-20: 02026-02-21: 02026-02-22: 02026-02-23: 02026-02-24: 02026-02-25: 02026-02-26: 02026-02-27: 02026-02-28: 02026-03-01: 02026-03-02: 02026-03-03: 02026-03-04: 02026-03-05: 02026-03-06: 02026-03-07: 02026-03-08: 02026-03-09: 02026-03-10: 02026-03-11: 02026-03-12: 02026-03-13: 02026-03-14: 02026-03-15: 02026-03-16: 02026-03-17: 02026-03-18: 02026-03-19: 02026-03-20: 02026-03-21: 02026-03-22: 02026-03-23: 02026-03-24: 02026-03-25: 02026-03-26: 02026-03-27: 02026-03-28: 02026-03-29: 02026-03-30: 02026-03-31: 02026-04-01: 02026-04-02: 02026-04-03: 02026-04-04: 02026-04-05: 02026-04-06: 02026-04-07: 02026-04-08: 02026-04-09: 02026-04-10: 02026-04-11: 02026-04-12: 02026-04-13: 02026-04-14: 02026-04-15: 02026-04-16: 02026-04-17: 02026-04-18: 02026-04-19: 02026-04-20: 02026-04-21: 02026-04-22: 02026-04-23: 02026-04-24: 02026-04-25: 02026-04-26: 02026-04-27: 02026-04-28: 02026-04-29: 02026-04-30: 02026-05-01: 02026-05-02: 02026-05-03: 02026-05-04: 02026-05-05: 02026-05-06: 02026-05-07: 02026-05-08: 02026-05-09: 02026-05-10: 02026-05-11: 02026-05-12: 02026-05-13: 02026-05-14: 02026-05-15: 02026-05-16: 02026-05-17: 02026-05-18: 02026-05-19: 02026-05-20: 02026-05-21: 02026-05-22: 02026-05-23: 02026-05-24: 02026-05-25: 02026-05-26: 02026-05-27: 02026-05-28: 02026-05-29: 02026-05-30: 02026-05-31: 02026-06-01: 02026-06-02: 02026-06-03: 02026-06-04: 02026-06-05: 02026-06-06: 02026-06-07: 02026-06-08: 02026-06-09: 02026-06-10: 02026-06-11: 02026-06-12: 02026-06-13: 02026-06-14: 02026-06-15: 02026-06-16: 02026-06-17: 02026-06-18: 02026-06-19: 02026-06-20: 02026-06-21: 02026-06-22: 02026-06-23: 02026-06-24: 02026-06-25: 02026-06-26: 02026-06-27: 02026-06-28: 02026-06-29: 02026-06-30: 02026-07-01: 02026-07-02: 02026-07-03: 02026-07-04: 02026-07-05: 02026-07-06: 02026-07-07: 02026-07-08: 02026-07-09: 02026-07-10: 02026-07-11: 02026-07-12: 02026-07-13: 02026-07-14: 02026-07-15: 02026-07-16: 02026-07-17: 02026-07-18: 02026-07-19: 02026-07-20: 02026-07-21: 02026-07-22: 02026-07-23: 02026-07-24: 02026-07-25: 02026-07-26: 02026-07-27: 02026-07-28: 02026-07-29: 02026-07-30: 02026-07-31: 02026-08-01: 02026-08-02: 02026-08-03: 02026-08-04: 02026-08-05: 02026-08-06: 02026-08-07: 02026-08-08: 02026-08-09: 02026-08-10: 02026-08-11: 02026-08-12: 02026-08-13: 02026-08-14: 02026-08-15: 02026-08-16: 02026-08-17: 02026-08-18: 02026-08-19: 02026-08-20: 02026-08-21: 02026-08-22: 02026-08-23: 02026-08-24: 02026-08-25: 02026-08-26: 02026-08-27: 02026-08-28: 02026-08-29: 02026-08-30: 02026-08-31: 02026-09-01: 02026-09-02: 02026-09-03: 02026-09-04: 02026-09-05: 02026-09-06: 02026-09-07: 02026-09-08: 02026-09-09: 02026-09-10: 02026-09-11: 02026-09-12: 02026-09-13: 02026-09-14: 02026-09-15: 02026-09-16: 02026-09-17: 02026-09-18: 02026-09-19: 02026-09-20: 02026-09-21: 02026-09-22: 02026-09-23: 02026-09-24: 02026-09-25: 02026-09-26: 02026-09-27: 02026-09-28: 02026-09-29: 02026-09-30: 02026-10-01: 02026-10-02: 02026-10-03: 02026-10-04: 02026-10-05: 02026-10-06: 02026-10-07: 02026-10-08: 02026-10-09: 02026-10-10: 02026-10-11: 02026-10-12: 02026-10-13: 02026-10-14: 02026-10-15: 02026-10-16: 02026-10-17: 02026-10-18: 02026-10-19: 02026-10-20: 02026-10-21: 02026-10-22: 02026-10-23: 02026-10-24: 02026-10-25: 02026-10-26: 02026-10-27: 02026-10-28: 02026-10-29: 02026-10-30: 02026-10-31: 02026-11-01: 02026-11-02: 02026-11-03: 02026-11-04: 02026-11-05: 02026-11-06: 02026-11-07: 02026-11-08: 02026-11-09: 02026-11-10: 02026-11-11: 02026-11-12: 02026-11-13: 02026-11-14: 02026-11-15: 02026-11-16: 02026-11-17: 02026-11-18: 02026-11-19: 02026-11-20: 02026-11-21: 02026-11-22: 02026-11-23: 02026-11-24: 02026-11-25: 02026-11-26: 02026-11-27: 02026-11-28: 02026-11-29: 02026-11-30: 02026-12-01: 02026-12-02: 02026-12-03: 02026-12-04: 02026-12-05: 02026-12-06: 02026-12-07: 02026-12-08: 02026-12-09: 02026-12-10: 02026-12-11: 02026-12-12: 02026-12-13: 02026-12-14: 02026-12-15: 02026-12-16: 02026-12-17: 02026-12-18: 02026-12-19: 02026-12-20: 02026-12-21: 02026-12-22: 02026-12-23: 02026-12-24: 02026-12-25: 02026-12-26: 02026-12-27: 02026-12-28: 02026-12-29: 02026-12-30: 02026-12-31: 0

Loading 90-day adequacy strip

SourcePOSOCO PSP state-level rowsofficialUpdated15 Aug 2026, 5:30 am ISTRefreshDailyCoverage1,407 day-rows

Sikkim — Event timeline

frequency × congestion × demand records × news

Coverage: frequency since 2025-09-19; congestion since 2026-05-22; demand records since 2018-01-01; news since 2026-05-22.

⚡Frequency excursion93🧱Congestion bind0📈Demand record0📰News event0
93 frequency excursions in band (49.60–50.21 Hz)

No congestion or severe events in this window.

Daily analytics cache

Two-year state signals

30D avg peak

114MW

2026-08-19

YoY peak shift

0%→ 0.0%

baseline window

Load factor

90%

2 daily rows

Shortage days

0days

0 MU

30D carbon avg

24gCO2/kWh

derived daily layer

Weather-load link

2days

joined weather samples

Data centers

0sites

0 MW mapped

Fiber routes

1,422km

5 route segments

Digital infra basis

Mapped

State bounds route estimate

Seasonality

Monthly average daily peak load

1 months

Sikkim — Residential cost curve

residential-cost-curve
Not yet available

An hourly residential cost curve isn't published for Sikkim yet — it appears once the underlying tariff data is available.

Upstream: atlas-discom-disaggregation · /v1/discom-disaggregation/hourly-residential-demand

Residential Tariff

SPDC-SIKKIM
ScheduleSlabEnergy rate (₹/kWh)Notes
DS-3P0–50 kWh₹2.40Domestic Supply — three phase
DS-SP0–50 kWh₹2.40Domestic Supply — single phase
DS-3P50–100 kWh₹3.40Domestic Supply — three phase
DS-SP50–100 kWh₹3.40Domestic Supply — single phase
DS-3P100–200 kWh₹4.40Domestic Supply — three phase
DS-SP100–200 kWh₹4.40Domestic Supply — single phase
DS-SP200–400 kWh₹4.90Domestic Supply — single phase
DS-3P200–400 kWh₹4.90Domestic Supply — three phase

2 additional slabs hidden.

Fixed charge
—
Fuel adjustment (FPPCA)
Passes through quarterly per regulator order.
Non-energy charges
Monthly minimum₹200.00 INR/connection/monthMonthly minimum₹100.00 INR/connection/month
Source SSERC Order P-01/PDS/2026 dated 30.06.2026 · Updated 01 Jul 2026

10-Year Tariff History

Residential · 2 orders

Published slab rates · no derived averages

DISCOM Health

AT&C losses by DISCOM

Aggregate Technical & Commercial losses per distribution utility, with multi-year trend.

Refresh status unknownAPI

Data gap

AT&C loss history is not yet published for this state's DISCOMs.
▸Why this matters

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.

IndiaEnergyAtlas.in
Source: discom-health·Coverage: AT&C loss history

Grid reliability

Reliability calendar — daily peak shortfall

Each cell is a day's unmet peak demand (POSOCO). Green = fully met; redder = larger shortfall — occasional stress days stand out against the reliable run.

May
Jun
Jul
Aug
Mon
Wed
Fri

Peak demand fully met every day

met
shortfall

SOURCE: Grid-India PSP (daily) · UPDATED 15 Aug