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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 BengalHimachal Pradesh
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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 BengalStates

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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

Himachal Pradesh

Download state pack

Right now — live state snapshot

State grid status — key live tiles

as of 03:30 IST
  • Demand now
    980MW
    ▼0.9%
  • Peak today
    988MW
    ▼4.1%
  • Renewable share
    No data
    this hour · State Fuel Mix Hourly feed quiet
  • Carbon intensity
    31gCO₂/kWh
    ▼1.8%
  • IEX clearing
    No data
    this hour · feed quiet
  • Frequency
    50.01Hz
  • Net interchange
    ↓-44MW

Demand

Demand today — actual, forecast, and prior 7 days

Fuel mix

Fuel mix today — current mix and forecast

  • hydro · 100.0%▲1.2 up 1.2 percentage points hour on hour
  • biomass — no feed
  • solar — no feed

Carbon

Carbon today — emitted and forecast

Emitted today
0.1 kt CO₂
Forecast EOD(climatology, low conf.)
0.6 kt CO₂
+0.5 kt P50 (band shows P10–P90)

Hourly operating record

Hourly operating record — today

Forecast

Himachal Pradesh — 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

Loading demand heatmap

Loading load duration curve

Historical trends

Loading two-year trace

Loading weather correlation

Loading multi-year demand

Forecast

Himachal Pradesh — demand & generation forecast for today

Demand — actual & forecast

Modeled

BaselinePeak 1.2 GW · 19:00 IST
Full 48h forecast →

Generation by fuel — current mix & forecast

Modeled

  • Hydro
  • Imports
Forecast accuracy (MAPE) & methodology

Himachal Pradesh — Forecast vs metered (90-day MAPE)

state-mape-daily

Loading 90-day MAPE history for Himachal Pradesh

Himachal Pradesh — 48h forecast accuracy (median daily-MAPE)

state_forecast_48h

Loading 48h forecast scorecard for Himachal Pradesh

Himachal Pradesh — Carbon scorecard

SLDC fuel mix

Loading carbon scorecard for Himachal Pradesh

Fuel mix — full history

Himachal Pradesh · generation mix · back to 2020

Loading production history…

Renewable Purchase Obligation compliance

Loading RPO compliance

Himachal Pradesh — Solar capture-rate

solar-capture-rate

Loading solar capture-rate for Himachal Pradesh

Loading carbon heatmap

Loading fuel-mix share

State at a glance

Loading POSOCO visualizations

Himachal Pradesh — Event timeline

frequency × congestion × demand records × news

Reliability calendar and historical signals

Loading daily analytics

Himachal Pradesh — Residential cost curve

residential-cost-curve

Loading residential cost curve for Himachal Pradesh

Infrastructure

Subsidies and incentives

Subsidies and incentives for Himachal Pradesh

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

Himachal Pradesh — frequently asked

What's the current electricity demand in Himachal Pradesh?

Himachal Pradesh is drawing 980 MW as of 2026-08-18T20:00:00+00:00 IST, sourced from the India Energy Atlas state-page-live snapshot.

What's Himachal Pradesh's renewable energy share right now?

Renewables (solar, wind, hydro, nuclear) account for 99.4% of in-state generation in Himachal Pradesh as of 2026-08-18T20:00:00+00:00 IST.

What's Himachal Pradesh's grid carbon intensity?

Himachal Pradesh's current grid carbon intensity is 31 gCO2/kWh as of 2026-08-18T20:00:00+00:00 IST, computed from the metered fuel mix using CEA v18 lifecycle emission factors.

When does Himachal Pradesh's peak demand hour usually occur?

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

Which DISCOM serves Himachal Pradesh?

Distribution in Himachal Pradesh 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 Himachal Pradesh data?

The day-ahead demand forecast for Himachal Pradesh 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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28 d ago·saurenergy.com—PM-KUSUM's Missing Link: Why India's Solar Pump Success Isn't Yet an Agricultural Energy Revolution1 mo ago·mercomindia.com—Himachal Pradesh Proposes Easier Rooftop Solar Application Process1 mo ago·saurenergy.com—Himachal CM Inaugurates Rs. 2 Cr Ground-Mounted Solar Project in Mamlig Panchayat

What the data says — Himachal Pradesh

Himachal Pradesh is drawing 980 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 Himachal Pradesh is dominated by Hydro at 98.8%. Grid carbon intensity is 31 gCO2/kWh.

Demand for Himachal Pradesh is sourced from a live SLDC scrape (metered, no disaggregation needed).

The day-ahead hourly demand forecast for Himachal Pradesh publishes a ±1.5σ band over the next 24 hours — based on 30 similar days across 2 years; level-calibrated x0.65 vs canonical trailing 24h.

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

Load shape

Demand heatmap — hour of day × last 31 days

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
359
2,214lower → higher load

SOURCE: SLDC + modeled demand · UPDATED 03:30 IST

Load distribution

Load duration curve — last 31 days

PEAK 2,214 MWBASE 359 MWSWING 1,855 MW

SOURCE: SLDC + modeled demand · UPDATED 03:30 IST

Two-Year Demand Trace

59 daily rows

Latest peak

1,782 MW

2-yr peak

1,892 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.

Himachal Pradesh — Forecast vs metered (90-day MAPE)

state-mape-daily
Current 30-day MAPE
335.63%
Best day
3.33%
2026-06-25
Worst day
545.38%
2026-06-16
5%10%2026-06-05 · 3.71% · n=22026-06-06 · 4.33% · n=12026-06-08 · 414.52% · n=22026-06-09 · 451.97% · n=22026-06-10 · 407.37% · n=22026-06-11 · 415.68% · n=22026-06-12 · 395.77% · n=22026-06-15 · 425.45% · n=22026-06-16 · 545.38% · n=22026-06-18 · 472.15% · n=22026-06-19 · 414.59% · n=22026-06-20 · 429.36% · n=22026-06-22 · 445.39% · n=22026-06-23 · 254.22% · n=22026-06-24 · 260.36% · n=22026-06-25 · 3.33% · n=22026-07-02 · 5.51% · n=22026-07-25 · 512.89% · n=22026-07-27 · 515.07% · n=206-0506-1006-1806-2407-27
Bands:green ≤ 5%yellow ≤ 10%red > 10%

Himachal Pradesh — 48h forecast accuracy (median daily-MAPE)

state_forecast_48h
Not yet at target
Next-day (0–24h)
—
live · n=0d
Day-2 (24–48h)
—
live · n=0d

measured but not on the IEA-1763 verified-<5% list — no green badge until the leak-free spike verifies this state on normal days.

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.

Himachal Pradesh — Carbon scorecard

SLDC fuel mix
90-day average carbon intensity38gCO₂/kWh · demand-weighted mean
Greenest hour
24gCO₂/kWh
Mon · 12:00 IST · imports
Dirtiest hour
26gCO₂/kWh
Wed · 22:00 IST · imports

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: ±13

State-mean fuel share: hydro 88% · imports 12% · 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

Himachal Pradesh — Solar capture-rate

solar-capture-rate
Current capture-rate
—
2026-08-14
30-day rolling capture-rate
—
0/30 days with data
Solar share today
0.00%
0 MWh solar
Per-band capture (current day · 30-day rolling)
  • Super-peak—/ —
  • Peak—/ —
  • Off-peak—/ —

Capture-rate chart unavailable.

Weighted avg price: ₹0/MWh · solar-weighted: —

Capture-rate is (Σ p·g / Σ p·d) ÷ (Σ g / Σ d) — the per-day solar revenue share over solar generation share, against IEX area-clearing prices. A value below 100 % means solar pumped at hours when the area was cheap.

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
81cleaner → dirtier

SOURCE: CEA carbon factors · UPDATED 03:30 IST

Generation mix

Fuel-mix share — last 8 days, normalized to 100%

Each band is a fuel's share of generation each hour — watch the solar wedge swell midday and coal hold the baseload, independent of total load.

  • Nuclear
  • Coal
  • Lignite
  • Gas
  • Hydro
  • Biomass
  • Wind
  • Solar
  • Imports

SOURCE: SLDC fuel mix · UPDATED 04:30 IST

Reliability — POSOCO PSP

Daily peak, shortage and frequency for Himachal Pradesh

743 day rows · 3-year window

All-time state peak

1,892MW

2026-06-17

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 ISTRefreshDailyCoverage743 day-rows

Himachal Pradesh — 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

1,010MW

2026-08-19

YoY peak shift

0%→ 0.0%

baseline window

Load factor

99%

2 daily rows

Shortage days

0days

0 MU

30D carbon avg

28gCO2/kWh

derived daily layer

Weather-load link

2days

joined weather samples

Data centers

0sites

0 MW mapped

Fiber routes

2,999km

75 route segments

Digital infra basis

Mapped

State bounds route estimate

Seasonality

Monthly average daily peak load

1 months

Himachal Pradesh — Residential cost curve

residential-cost-curve
Not yet available

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

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

Residential Tariff

HPSEBL
ScheduleSlabEnergy rate (₹/kWh)Notes
DS-LIFELINE0–60 kWh₹4.71Domestic lifeline up to 60 units/month
DS-OTHER0–125 kWh₹5.44Domestic other consumers
DS-OTHER125+ kWh₹5.89Domestic other consumers
Fixed charge
₹55.00 / Rs/month
Fuel adjustment (FPPCA)
Passes through quarterly per regulator order.
Source HPERC Tariff Order for FY 2026-27 dated 25.03.2026 · Updated 01 Apr 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